• Economic Buyer: How Sales Reps Find and Win Over the Person Who Signs

    Economic Buyer: How Sales Reps Find and Win Over the Person Who Signs

    Economic Buyer: How Sales Reps Find and Win Over the Person Who Signs

    The economic buyer is the person who can say yes to a deal when everyone else has said maybe. Reps who never meet that person tend to lose deals they thought were won. In complex B2B sales, that person often sits two levels above the champion, joins late, and asks questions the rest of the buying group never raised. This guide explains what an economic buyer is, how to identify one, what they care about, and how enablement teams can prepare reps for that conversation before it happens.

    What Is an Economic Buyer?

    The economic buyer is the person with final authority to approve the purchase and release the budget. In most mid-market and enterprise deals, that is a VP, a C-level executive, or a business unit leader who owns the outcome the purchase is meant to improve. They can approve the spend without asking anyone else, and they can also stop it.

    The term comes from qualification frameworks. RepVue’s overview of MEDDIC history and definitions puts it simply: “The economic buyer is the person who has the authority to make the purchasing decision.” The same piece notes that MEDDIC was first developed in the 1990s by Jack Napoli and Dick Dunkel at PTC. If your team already uses the framework, our guide to the MEDDIC sales methodology covers the other five letters, and the breakdown of MEDDPICC qualification adds paper process and competition.

    The budget holder is rarely the person who found you. Users and evaluators usually start the conversation. The budget holder shows up once a recommendation is ready, and they judge it on different terms.

    Economic Buyer vs. Champion

    Reps often confuse the person who signs with the champion. Both matter, but they play different roles.

    A champion is someone inside the account who wants your solution to win and has the influence to move it forward. They coach you, share internal context, and sell for you when you are not in the room. Our post on finding and building a champion in B2B sales goes deeper on that role.

    The budget holder owns the spend and the business result. A champion can hold that authority in smaller deals, but in larger ones they usually report to one. A strong champion gets you access to the signer and helps you prepare for that meeting. A weak one keeps you away from the decision maker, sometimes on purpose.

    A useful test is to ask your champion how the last purchase of this size got approved. Their answer tells you who signs, what they asked for, and how long it took.

    How to Identify the Economic Buyer

    Titles help, but they do not settle the question. The person with “VP” in their title may need a CFO signature above a certain dollar amount. A director may own a discretionary budget large enough to sign alone. Reps need to find out how money actually moves in that account.

    Buying groups make this harder. Forrester’s State of Business Buying 2024 research found that “On average, 13 people within an organization are involved in the buying decision.” With that many people involved, a rep can spend weeks with the wrong group and still feel the deal is progressing. Our guide to practicing multi-stakeholder deals covers how to map those roles.

    Questions that surface the real decision maker without sounding pushy:

    • “When a project like this gets approved, who makes the final call on budget?”
    • “Who will be measured on whether this works a year from now?”
    • “Has your team bought something at this price before? What did that approval look like?”
    • “If you recommend us, who needs to agree before a contract goes out?”

    Listen for names that come up more than once. The person who signs tends to appear in answers about risk, approval, and accountability, even when nobody uses the term.

    What the Economic Buyer Cares About

    Economic buyers judge a purchase on three things: whether it moves a number they own, how much risk it adds, and what it costs to get wrong.

    That last point matters more than most reps expect. In an interview about the research behind The JOLT Effect, Matt Dixon told CustomerThink that “anywhere between 40 and 60% of all deals are actually lost to the customer doing nothing.” He also explained that buyers stall mainly because “they’re worried about making a big mistake.” Budget holders carry that worry more than anyone in the deal, because their name is on the decision.

    So the conversation with the budget holder should cover:

    • The business problem in their language, tied to a metric they report on
    • What happens if they do nothing, with a realistic cost
    • What a successful rollout looks like and who owns it
    • The risks they are likely to raise, with a clear answer to each
    • Proof from a company like theirs, at a scale like theirs

    This is where a value selling approach earns its keep. Reps who can tie the purchase to outcomes have something to say when the executive asks why now.

    How to Get Access to the Economic Buyer

    Reps who wait for an invitation often never get one, so make the meeting easy for your champion to arrange.

    Ask your champion directly, and give them a reason the meeting helps them. A good framing is that a short alignment call with their leader will reduce surprises later and protect the recommendation they are about to make. Offer a tight agenda, a fixed length, and a clear outcome.

    Bring something the executive can use. A one-page summary of the business case, a draft success plan, or a short read on how peers measured results gives them a reason to show up.

    Keep the meeting short and specific. Open with what you understand about their goals, confirm it, and then talk about outcomes and risk. Save the product walkthrough for the evaluation team. If they want detail, they will ask for it.

    Plan for one shot. Many reps get a single 30-minute slot with the signer during the whole cycle. That makes preparation the deciding factor.

    How to Prepare Reps for the Economic Buyer Conversation

    Enablement teams can teach the concept in an hour. Getting reps to hold their ground when a CFO pushes back on price takes practice, and most reps get very little of it before the real meeting.

    AI roleplays close that gap. In Yoodli, an enablement leader can build this scenario in a few steps:

    • Create a buyer persona with the right title, priorities, and temperament, such as a CFO focused on payback period or a CRO worried about adoption
    • Load the scenario with your real business case, pricing guardrails, and the objections executives raise most often in your deals
    • Grade each attempt against a rubric tied to your methodology, such as confirming the business problem, quantifying the cost of inaction, and handling risk questions without discounting

    Reps can practice the conversation as many times as they need, on their own schedule, and get scored feedback after every attempt. Managers review the scores and step in where a rep keeps stalling. Our posts on building realistic AI buyer personas and building AI roleplays around your sales methodology walk through the setup.

    This approach scales to large teams. Google Cloud used Yoodli to roll out GTM pitch certification to 15,000+ employees, which shows that structured practice and certification can run across a global sales organization. Teams that want to build this for their own reps can start with Yoodli’s AI sales roleplay and see how it fits into a broader sales training program.

    A practical cadence is to have reps run this roleplay once during onboarding, again before their first enterprise deal reaches late stage, and again any time pricing or packaging changes.

    Economic Buyer FAQ

    Who is the economic buyer in a sale?

    The economic buyer is the person with final authority to approve the purchase and release budget. In enterprise deals that is usually a VP or C-level leader who owns the business outcome. They may not join until late in the cycle, but their approval is required for the contract to move forward.

    What is the difference between an economic buyer and a decision maker?

    The economic buyer is a specific kind of decision maker: the one who controls budget and gives final approval. Other decision makers, such as technical evaluators or procurement, can block or shape a deal. Only the budget holder can approve the spend on their own authority.

    How do you identify the economic buyer?

    You identify the economic buyer by asking how similar purchases were approved and who will be accountable for results. Ask your champion who signed the last purchase of this size, who owns the metric the project affects, and who must agree before a contract goes out. Names that repeat are your best signal.

    What does the E stand for in MEDDIC?

    The E in MEDDIC stands for economic buyer. It reminds reps to confirm who has budget authority and to engage that person directly. Deals without a confirmed signer carry more forecast risk, because the person who can approve the purchase has not yet weighed in.

    Make the Economic Buyer Meeting Count

    This meeting is short, rare, and often decisive. Reps who know who signs, what that person cares about, and how to answer hard questions about value and risk walk in ready. Reps who meet that person for the first time in the room tend to stall. Give your team the reps before the real one, and talk to our team about building executive conversation practice into your sales program.

  • Gap Selling: How Sales Teams Diagnose the Problem Before the Pitch

    Gap Selling: How Sales Teams Diagnose the Problem Before the Pitch

    Gap Selling: How Sales Teams Diagnose the Problem Before the Pitch

    Gap selling is a sales methodology built on one idea: buyers purchase to close the distance between where they are and where they want to be. The rep’s job is to understand that distance better than anyone else in the deal. For enablement leaders, the method is attractive because it gives reps a repeatable way to run discovery. It is also demanding, because it only works when reps can hold a deep diagnostic conversation in real time.

    This guide explains the method, how the current state and future state framework works, and how enablement teams train reps to run it well. It also covers how teams use Yoodli AI roleplays to practice these conversations before reps try them with real buyers.

    What Is Gap Selling?

    Gap selling is a problem-centric sales methodology created by Keenan of A Sales Growth Company and laid out in his book Gap Selling: Getting the Customer to Yes. The book page sums up the core idea in five words: “the problem drives the sale.”

    According to the Gap Selling methodology overview, the approach “shifts the focus of the sale from your product to the buyer’s problem.” The gap itself is “the space between the buyer’s current and future states.” That gap is where the value of any solution lives. A bigger, better understood gap makes a stronger case for change.

    It sits in the same family as other buyer-focused approaches. It shares DNA with solution selling and value selling, and many teams pair it with a qualification framework like MEDDPICC to keep deals on track.

    The Three Parts of the Gap Selling Framework

    The framework breaks every deal into three parts. Reps who understand each part can steer discovery toward the information that matters.

    Current state

    The current state is the buyer’s situation today. Keenan’s book page describes it as the buyer’s “problems, root causes, and the impact those problems are having on their business.” A strong rep documents the facts of the environment, the specific problems the buyer faces, and what those problems cost.

    Future state

    The future state is where the buyer wants to be once the problem is solved. Reps capture what success looks like in the buyer’s own terms, including the business results the buyer expects and how the buyer will measure them.

    The gap

    The gap is the distance between those two states. When the rep and the buyer agree on the size of the gap and the cost of leaving it open, the buying decision gets easier. When the gap is vague, deals stall because the buyer can’t justify the change internally.

    Why Gap Selling Matters for B2B Teams Right Now

    Buyers have less patience for generic pitches than ever. A 2025 Gartner survey of 632 B2B buyers found that “61% of B2B buyers prefer an overall rep-free buying experience.” The same release reported that “73% of B2B buyers actively avoid suppliers who send irrelevant outreach.”

    Those numbers raise the bar for every live conversation. When a buyer agrees to talk with a rep, the rep has to add something the buyer can’t get from a website. This framework gives reps a structure for doing exactly that. The rep helps the buyer see the root cause of the problem, put a cost on it, and define what better looks like. That diagnosis is the value the rep brings to the call.

    How to Train Reps on Gap Selling

    The method takes real practice to run well. Reps have to ask layered questions, listen for root causes, and resist the urge to pitch as soon as they hear a familiar problem. Here is how enablement teams make the method stick.

    1. Teach the questions behind each state

    Start with a question bank for current state, future state, and impact. Strong customer discovery questions move from facts to problems to root causes to business impact. Give reps examples from your own deals, so the questions sound like your buyers and your market.

    2. Practice the full discovery conversation

    Everything in this method depends on discovery. Reps need repetitions where they follow a thread three or four questions deep, summarize what they heard, and confirm the gap with the buyer. Structured discovery call practice gives reps those repetitions before a live deal is on the line.

    3. Build roleplays around your methodology

    Generic practice teaches generic habits. Enablement teams get better results when they build AI roleplays around their sales methodology. Here, that means an AI buyer persona with a defined current state, hidden root causes, and a future state the rep has to uncover. The buyer shares surface problems freely and reveals root causes only when the rep asks good follow-up questions. That design rewards the behavior the method depends on.

    4. Grade reps on diagnosis

    A rubric for this method should score how well the rep uncovered the gap. Useful criteria include whether the rep identified a root cause, quantified the impact, captured the future state in the buyer’s words, and confirmed the gap before presenting a solution. A sales call scorecard built on those criteria lets managers coach to the same standard in practice and on real calls.

    5. Make manager coaching consistent

    Any methodology breaks down when every manager coaches it differently. Shared rubrics and recorded practice give managers a common language. AI sales coaching adds feedback after every practice session, so managers can spend their time on the reps and moments that need a human touch.

    Scaling Methodology Practice Without Overloading Managers

    The hardest part of rolling out any methodology is review time. Someone has to listen to reps practice and give feedback. That load grows with every new hire and every new scenario.

    Harness brought Yoodli AI roleplays into its sales training and cut sales training review time by 75%. For a new methodology rollout, that kind of time savings means managers can review the conversations that matter most while AI scores the routine repetitions against the same rubric.

    Consistency matters as much as time. Teams that want every rep running discovery the same way can standardize their sales methodology with AI, using the same scenarios and rubrics across regions and segments.

    Common Gap Selling Mistakes and How to Coach Them

    Most problems show up in the first few weeks of a rollout. Each one has a clear coaching fix.

    • Pitching too early. Reps hear a familiar problem and jump to the product. Coach them to summarize the current state and ask one more impact question before they present anything.
    • Stopping at symptoms. A slow sales cycle is a symptom. The root cause might be unclear qualification or poor handoffs. Roleplays with hidden root causes train reps to keep digging.
    • Skipping the future state. Reps often document the problem and forget to ask what success looks like. Without a future state, there is no gap to sell to.
    • Leaving impact unquantified. A gap without a cost attached is easy for a buyer to ignore. Coach reps to ask what the problem costs in time, revenue, or risk.

    For teams building a broader sales training program, these four mistakes make a good first set of practice scenarios.

    Frequently Asked Questions

    What is gap selling in simple terms?

    Gap selling is a sales methodology that focuses on the buyer’s problem before the product. The rep uncovers the buyer’s current state, defines the desired future state, and helps the buyer see the gap between the two. The size and cost of that gap creates the case for buying. Keenan created the method and wrote the book on it.

    How is gap selling different from solution selling?

    Gap selling and solution selling both start with the buyer’s problem. Keenan’s method puts specific weight on mapping the current state, the future state, and the measurable gap between them. Solution selling centers on diagnosing needs and positioning a solution to fit. Many teams borrow from both, using the current state and future state framework to structure discovery.

    What questions do reps ask in gap selling?

    The questions move from facts to problems to root causes to impact. Reps ask about the buyer’s current environment, what isn’t working, why it isn’t working, and what it costs the business. Then reps ask what the future state looks like and how the buyer will measure success. Follow-up questions matter more than the opening ones.

    How can AI roleplays help reps learn gap selling?

    AI roleplays help reps learn gap selling by giving them repeated discovery practice with buyers who hide their root causes. Reps have to ask good follow-up questions to uncover the gap. AI scoring against a diagnosis rubric gives instant feedback, and managers can review recordings to coach the moments that need a human eye.

    Putting Gap Selling Into Practice

    The method gives reps a clear way to earn a buyer’s time: understand the problem better than anyone else and make the cost of inaction concrete. It rewards reps who ask one more question and listen closely to the answer. Enablement teams that pair the framework with realistic practice, a diagnosis-focused rubric, and consistent coaching give their reps the best chance to run it well in every deal.

  • The Phillips ROI Model: How L&D Teams Prove the Business Value of Training

    The Phillips ROI Model: How L&D Teams Prove the Business Value of Training

    The Phillips ROI Model: How L&D Teams Prove the Business Value of Training

    The Phillips ROI model gives learning and development teams a way to answer the question every budget review eventually asks: what did this training return to the business? Completion rates and satisfaction surveys show that people showed up. The Phillips ROI model goes further and connects a program to business results, then converts those results into a financial return.

    This guide walks through the five levels of the Phillips ROI model, the formulas behind it, and the steps L&D teams follow to run an ROI study. It also covers how skills practice data from platforms like Yoodli fills in the levels that are usually hardest to measure.

    What Is the Phillips ROI Model?

    The Phillips ROI model is a training evaluation framework developed by Jack J. Phillips. Training Industry describes it as “a training evaluation framework that extends the Kirkpatrick Model by adding a fifth level.” That fifth level is return on investment.

    The model builds on the four levels of the Kirkpatrick model. According to Kirkpatrick Partners, those levels cover reaction, learning, behavior, and results. Phillips keeps that structure and adds a final step that compares the monetary benefits of a program to its costs.

    The approach is now known as the ROI Methodology and is maintained by the ROI Institute. The ROI Institute says the methodology has been “implemented in over half of the Fortune 500 companies.”

    The Five Levels of the Phillips ROI Model

    Each level of the Phillips ROI model answers a different question about a training program. The ROI Institute names and describes them this way.

    Level 1: Reaction and Planned Action

    Level 1 “measures participant satisfaction with the program and captures planned action.” This level tells you whether learners found the program relevant and whether they intend to use it.

    Level 2: Learning

    Level 2 “measures changes in knowledge and skills.” Quizzes and knowledge checks cover the knowledge side. Skills are harder to check, because they show up in performance.

    Level 3: Application and Implementation

    Level 3 “measures changes in behavior and specific actions on the job to make the program successful.” This is where many programs lose the thread. Learners may pass the course and still fall back to old habits. Our guide on transfer of training covers why that happens and what helps.

    Level 4: Business Impact

    Level 4 “measures changes in business impact measures.” For a sales program, that might be win rate or ramp time. For a support program, it might be handle time or customer satisfaction. Pick measures the program can plausibly influence.

    Level 5: Return on Investment

    Level 5 “compares the monetary benefits to the costs.” This is the level that turns training data into a number a CFO can weigh against other investments.

    Phillips ROI Model Formulas

    The Phillips ROI model uses two calculations. The ROI Institute presents them as follows.

    • Benefit-cost ratio (BCR): Program Benefits divided by Program Costs.
    • ROI (%): Net Program Benefits divided by Program Costs, expressed as a percentage. Net benefits are total benefits minus total costs.

    Here is a simple hypothetical example. Say a sales onboarding program has fully loaded costs of $200,000. After isolating the program’s effect, the team attributes $500,000 in monetary benefits to it. The BCR is 2.5, which means every dollar spent returned $2.50 in benefits. Net benefits are $300,000, so the ROI is 150%.

    The math is simple. The hard part is producing defensible numbers for the benefits line, which is why the steps below matter.

    How to Run a Phillips ROI Study in Six Steps

    The ROI Institute lays out six steps for the ROI calculation. Here is how each one plays out for an L&D or enablement team.

    1. Identify the improvements in impact measures

    Pick the business metrics the program should move before the program launches. Teams that set these measures upfront get far cleaner data. If you are evaluating onboarding, start with the metrics in our guide to measuring onboarding effectiveness.

    2. Isolate the amount of improvement caused by the program

    This step is the heart of a credible ROI study. Results usually have many causes, so the team has to estimate how much of the change came from training. The ROI Institute lists techniques such as control groups, trend line analysis, forecasting methods, and estimations.

    3. Convert the improvements to monetary value

    Each impact measure needs a dollar value. Revenue metrics convert directly. Time savings convert through loaded labor costs. Quality and retention metrics usually need a standard value agreed with finance.

    4. Tabulate the fully loaded costs

    Include everything: design, delivery, technology, facilitator time, and the time learners spend away from their jobs. Leaving out costs inflates ROI and damages credibility with finance.

    5. Identify intangible benefits

    Some benefits are real but hard to price, such as learner confidence or manager engagement. The ROI Institute’s process calls these intangible benefits, and teams report them alongside the ROI figure.

    6. Compare monetary benefits to costs

    Run the BCR and ROI formulas and present them together with the intangible benefits. A clear summary of the method you used to isolate results makes the number far easier to defend.

    Where Skills Practice Data Fits in the Phillips ROI Model

    Levels 2 and 3 are where most L&D teams have the thinnest data. Knowledge checks don’t show whether someone can handle a hard customer conversation, and on-the-job behavior is expensive to observe. That gap makes Level 4 and Level 5 harder to defend, because the chain of evidence between training and results is incomplete.

    Skills practice platforms help close that chain. When learners complete AI roleplays scored against a rubric, every session produces Level 2 evidence of skill. Repeated practice over time shows whether behavior is changing, which supports Level 3. Practice analytics turn those sessions into reporting L&D teams can bring to a budget review. That data plugs into the broader learning analytics L&D teams already track.

    Practice programs can also produce cost savings that feed Level 5. RingCentral used Yoodli AI roleplays for call center certification and reduced certification time by 90%. Time savings like that convert directly to monetary value in step 3 of an ROI study, through the loaded cost of learner and reviewer hours.

    Practice also strengthens the on-the-job learning that frameworks like the 70-20-10 model emphasize. That gives the ROI study more behavior data to work with.

    Applying the Phillips ROI Model to Sales and Enablement Programs

    Sales and revenue enablement teams can use the Phillips ROI model with metrics they already report. Common Level 4 measures include ramp time, quota attainment, win rate, and average deal size. Our guide to sales enablement metrics covers how to track and report them.

    For practice programs specifically, teams often build the case around manager and reviewer time recovered, faster certification, and faster ramp. Our post on the ROI of roleplays covers where those returns show up.

    Teams building a wider learning and development program can apply the same structure across onboarding, leadership, and customer-facing training.

    Frequently Asked Questions About the Phillips ROI Model

    What is the difference between the Kirkpatrick and Phillips models?

    The Phillips ROI model adds a fifth level to the four-level Kirkpatrick model. Kirkpatrick measures reaction, learning, behavior, and results. Phillips keeps those levels and adds return on investment, which converts business results into monetary value and compares them to program costs. Phillips also adds a step to isolate the effect of training from other factors.

    How do you calculate training ROI with the Phillips model?

    Training ROI in the Phillips model equals net program benefits divided by program costs, expressed as a percentage. Net benefits are monetary benefits minus fully loaded costs. Before calculating, the team isolates how much improvement came from the training and converts those improvements into dollars. The benefit-cost ratio divides total benefits by costs.

    When should L&D teams use the Phillips ROI model?

    L&D teams should use the Phillips ROI model for high-cost, high-visibility programs where leadership expects a financial justification. Full ROI studies take real effort, so many teams run them on a few strategic programs each year. Lower-stakes programs can stop at Level 3 or Level 4 and still give leaders useful evidence.

    What is the hardest part of the Phillips ROI model?

    Isolating the effect of training is usually the hardest part of the Phillips ROI model. Business results have many causes, so teams need control groups, trend analysis, or structured estimates to credit training fairly. Strong behavior data at Level 3, such as scored practice over time, makes that isolation easier to defend.

    Making the Phillips ROI Model Work for Your Team

    The Phillips ROI model gives L&D leaders a shared language with finance. It turns training outcomes into the same terms leaders use for every other investment. Teams that plan impact measures early, collect real skills data at Levels 2 and 3, and document how they isolated results will produce ROI numbers that hold up in a budget review. For more on how L&D teams use practice data, see Yoodli for learning and development teams.

  • Situational Fluency in Sales: How to Build Reps Who Adapt Mid-Conversation

    Situational Fluency in Sales: How to Build Reps Who Adapt Mid-Conversation

    Situational Fluency in Sales: How to Build Reps Who Adapt Mid-Conversation

    Every sales leader has watched a well-trained rep lose control of a call the moment the buyer goes off script. The rep knows the pitch and the talk track. Then the CFO joins late, the priority shifts from cost to risk, and the conversation stops matching anything the rep rehearsed. The skill that carries a rep through that moment is situational fluency: the ability to read what the conversation needs right now and adjust the approach to fit it.

    The topic has drawn fresh attention for enablement teams this fall because new research put numbers on it. This guide covers what the term means, what the latest data says about how reps build it, and how to design a practice program at Yoodli or any other platform that develops adaptability alongside execution.

    What Is Situational Fluency in Sales?

    Situational fluency is a rep’s ability to adapt in real time to what a buyer, a meeting, or a deal requires. A fluent rep notices when a stakeholder’s concern has changed, connects the conversation to that stakeholder’s world, and changes direction without losing the thread of the deal.

    The term has deep roots in solution selling. Keith Eades and Timothy Sullivan gave it a full chapter in The Collaborative Sale, titled “What the New Buyers Expect: Situational Fluency.” Presales leaders use it too. David Marsh of the PreSales Leadership Collective defines situational fluency as “the ability to adapt to what the situation requires, in the context of a sales motion or a solution demonstration.”

    In practice, the skill draws on three things at once. The rep needs enough product and industry knowledge to have options. The rep needs listening skills sharp enough to catch the signal that something changed. Then the rep needs the judgment to pick the right next move under pressure. Sales rep adaptability is the visible output, but it depends on all three.

    What New Research Says About Building Adaptability

    On October 1, 2026, Corporate Visions and the Florida State University Sales Institute released a study called Practice Makes Permanent: Should You Let AI Onboard Your Reps? According to the announcement, the researchers followed 119 new inside-sales hires at a large construction-supply company over 18 months.

    New hires trained in one of three ways. The AI-Heavy group completed repeated roleplays with AI partners and got feedback on performance. The Observation-Heavy group watched recordings of experienced sellers in real conversations and rated specific behaviors against a defined rubric. The Integrated group did both in sequence. Each group then finished with a capstone roleplay against a live actor playing the buyer.

    The results split execution from adaptability. “AI-Heavy sellers led on execution, but their adaptability fell sharply when buyers changed course, dropping to 25.4 out of 50.” Observation-Heavy sellers scored highest on adaptability. “Integrated sellers provided the strongest overall balance, posting a 46.2 execution score while maintaining 34.7 on adaptability.” Managers also rated the Integrated group highest on both dimensions at 30 and 60 days after training.

    Dr. Leff Bonney, who directs the FSU Sales Institute, summarized it this way: “The data shows that volume of practice is not the same as readiness.” Tim Riesterer of Corporate Visions added that “developing judgment and situational fluency requires a different training approach.”

    Why Practice Volume Alone Leaves a Gap

    Repetition builds execution. A rep who runs the same discovery call twenty times gets faster, cleaner, and more confident with the core moves. That matters, and the study confirms it. The catch is that repetition against a predictable scenario teaches the rep to expect the scenario.

    Adaptability grows from two other inputs. The first is exposure to how strong sellers handle surprises, which is what the observation arm provided. The second is practice against buyers who don’t behave the same way twice. When a team combines those inputs with high-volume practice, reps get the execution gains and keep their footing when the call changes shape.

    This is a design question for enablement teams. Most programs already have the pieces. The work is sequencing them so each one feeds the next.

    How to Build Situational Fluency Across a Sales Team

    The study’s Integrated model gives enablement teams a clear structure. Here is how to turn it into a program for new hire sales training and for tenured reps who need a refresh.

    1. Start with observation against a rubric

    Pick five to ten recorded calls where your best sellers handled a pivot well. Look for moments like a new stakeholder joining, a budget objection late in the deal, or a buyer who changes priorities halfway through. Have new hires rate specific behaviors against the same rubric your managers use, then compare their ratings to how an experienced seller scored the call. If your team already records calls, the Gong and Yoodli integration connects those real conversations to practice.

    2. Build execution with high-volume AI roleplays

    Once reps know what good looks like, give them reps. AI roleplays let every rep practice the core motions as often as they need, with instant feedback. Start with the conversations that show up in every deal, such as discovery call practice and common objections like “we’re already using a competitor”.

    3. Add variation on purpose

    This step is where adaptability gets built. Write scenarios where the AI buyer changes course: the economic buyer shifts from growth to cost control, a technical evaluator raises a security concern mid-demo, or a champion reveals that the deal now needs legal review. Realistic AI buyer personas with distinct goals make these pivots feel real. For complex deals, multi-persona scenarios let reps practice multi-stakeholder deals without pulling five colleagues into a room.

    The pairing of practice and real-call review matters here. Our guide on roleplay practice and call coaching covers where each one fits.

    4. Score adaptability as its own skill

    If your rubric only grades whether the rep hit the talk track, it will reward execution and miss adaptability. Add criteria that capture the pivot: did the rep notice the change, ask a clarifying question, and reframe value for the new concern? A sales call scorecard with separate lines for execution and adaptability gives managers a cleaner read on where each rep needs coaching.

    5. Certify on an unscripted scenario

    End onboarding with a capstone that includes at least one unexpected turn. The study used a live actor for this. An AI roleplay with a scripted pivot works the same way and scales to every new hire. Teams that run onboarding and certification with AI roleplays can grade the capstone consistently, even across regions.

    What This Looks Like at Enterprise Scale

    Programs like this also need to work for thousands of reps. Google Cloud used Yoodli AI roleplays to roll out a new GTM pitch certification and certified 15,000+ employees. At that scale, the same scenario design principles apply. Teams set a clear standard, let people practice privately as often as they want, and grade everyone against one rubric.

    The difference with an adaptability focus is the scenario library. It holds several versions of the buyer, and each one rewards the rep who listens and adjusts.

    How to Measure Situational Fluency

    Adaptability is harder to measure than talk-track recall, but it leaves clear signals. Track these four:

    • Adaptability scores on pivot scenarios. Compare each rep’s score on standard roleplays with the score on scenarios where the buyer changes course. A wide gap shows where coaching should focus.
    • Manager ratings at 30 and 60 days. The study used this checkpoint, and it works for any team. Ask managers to rate live-call adaptability on the same rubric used in practice.
    • Clarifying questions per call. Adaptable reps ask more questions when something shifts. Real-call review shows whether that habit carries over from practice.
    • Deal-stage conversion after a new stakeholder joins. This metric ties adaptability to revenue and gives sales leaders a reason to keep investing in the program.

    For teams building a full sales roleplay program, these measures slot into the reporting you already run for ramp time and certification.

    Frequently Asked Questions

    What does situational fluency mean in sales?

    Situational fluency means a rep can read what a buyer conversation requires and adjust in real time. It combines product and industry knowledge, active listening, and judgment. A strong rep notices when priorities shift, asks the right follow-up question, and reframes value for the new concern without losing momentum in the deal.

    Can AI roleplays build situational fluency?

    AI roleplays can build this skill when scenarios include buyers who change course. Research from Corporate Visions and the FSU Sales Institute found that pairing AI practice with rubric-based review of experienced sellers’ recorded calls produced the strongest balance of execution and adaptability. The key is variation in the scenarios and a rubric that scores the pivot.

    How is situational fluency different from objection handling?

    Objection handling is one part of the larger skill. Objection handling prepares reps for known pushback with tested responses. The broader skill covers adapting when the conversation changes in ways nobody planned for, such as a new stakeholder joining, a shift in priorities, or a deal that suddenly needs a different champion.

    How long does it take new reps to develop situational fluency?

    The skill develops over months, and structured practice speeds it up. In the Corporate Visions study, managers assessed new hires at 30 and 60 days after training, and the group that combined observation with AI practice rated highest at both checkpoints. Ongoing practice on varied scenarios keeps the skill growing after onboarding ends.

    Bringing Situational Fluency Into Your Program

    The research gives enablement teams a practical sequence. Show reps how great sellers handle surprises, give them high-volume practice, build scenarios that change course, and score adaptability as its own skill. Teams that already run AI roleplays can add this focus by expanding their scenario library and their rubric. That is a small change with a direct line to how reps perform when a real buyer goes off script.

  • How Do You Get Sales Reps to Actually Use AI Roleplay?

    How Do You Get Sales Reps to Actually Use AI Roleplay?

    Getting sales reps to actually use AI roleplay requires making practice relevant, low-friction, psychologically safe, and visibly connected to the conversations that affect their performance. Reps are far more likely to practice when scenarios reflect real deals and objections, sessions are short and easy to access, feedback helps them improve immediately, and managers treat roleplay as preparation rather than surveillance. The goal is not to mandate more training activity. It is to make practice useful enough that reps want to return to it.

    Summary

    • Tie AI roleplay to immediate sales moments such as an upcoming product launch, difficult objection, certification, or strategic meeting.
    • Build scenarios around real buyers, products, competitors, and objections instead of generic simulations.
    • Keep the first experience simple and useful; don’t overwhelm reps with dashboards, scores, or large scenario libraries.
    • Make practice private enough that reps feel comfortable experimenting and making mistakes.
    • Have managers reinforce roleplay through coaching without turning every score into a performance evaluation.
    • Put practice inside existing workflows wherever possible rather than asking reps to visit another disconnected training destination.
    • Measure repeat practice and skill improvement—not just assigned-roleplay completion.
    • Use strong sellers as contributors and advocates so roleplay feels like part of the sales culture rather than an enablement mandate.

    Why Sales Reps Don’t Automatically Adopt AI Roleplay

    Buying an AI roleplay platform is the easy part.

    Getting sellers to use it repeatedly is harder.

    Sales reps already have full calendars. They’re prospecting, preparing for meetings, responding to customers, updating CRM records, negotiating deals, and trying to hit quota. Another piece of training software—even an impressive one—can quickly become something they complete once and ignore.

    The broader learning challenge is significant. LinkedIn’s 2025 Workplace Learning Report found that 49% of learning and development professionals said their executives were concerned employees didn’t have the skills needed to execute business strategy. At the same time, Microsoft reported that 47% of leaders identified upskilling existing employees as a top workforce strategy for the next 12–18 months.

    Organizations clearly want more skill development.

    That doesn’t mean employees want more training tasks.

    For AI sales roleplay to become a habit, reps need to see an immediate answer to a simple question:

    How will this help me with a conversation I actually need to have?

    “Practice that feels real—and drives real performance.” — Yoodli.

    That framing matters. Roleplay adoption increases when practice feels like preparation for selling rather than homework assigned by enablement.

    Start With a Real Sales Problem, Not the AI

    A weak rollout starts like this:

    “We bought an AI roleplay platform. Everyone needs to complete three simulations this month.”

    A stronger rollout starts with the problem:

    “We’re launching a new product next month, and every rep needs to be ready to explain the value and handle the three objections we’re hearing most often.”

    The technology becomes the mechanism rather than the reason for practice.

    High-adoption programs tend to anchor roleplay to high-stakes, time-bound moments such as onboarding certification, product launches, SKO preparation, methodology rollouts, new messaging, or competitive changes. Yoodli’s guidance on building an AI sales roleplay program similarly recommends creating urgency around specific business moments rather than launching roleplay as an abstract training initiative.

    This works because relevance is obvious.

    A rep may not be excited about “AI roleplay practice.”

    They may be very interested in feeling prepared for tomorrow’s executive discovery call.

    Make the First Roleplay Unmistakably Relevant

    The first experience matters.

    If a rep’s introduction to AI roleplay is a generic scenario involving a fictional product, unrealistic customer behavior, and feedback that has little connection to their job, you’ve taught them something dangerous:

    This isn’t useful.

    Instead, the first scenario should feel immediately recognizable.

    If the team sells cybersecurity software, the AI buyer should behave like one of their cybersecurity buyers. If procurement routinely raises a particular objection, use it. If the company follows MEDDPICC, Challenger, SPIN, Sandler, or a proprietary methodology, the evaluation should reflect that methodology.

    Yoodli’s roleplay builder allows scenarios to be grounded in real content and context, including buyer-facing materials, which can help make simulations more representative of actual conversations.

    Realism drives credibility.

    And credibility drives repeat use.

    Don’t Introduce AI Roleplay as a Test

    Salespeople need somewhere they can be bad before they have to be good.

    If the first message reps hear is:

    “Leadership will review your scores.”

    then roleplay immediately becomes an evaluation environment.

    That changes behavior.

    Instead of experimenting, reps try to protect themselves. They may avoid difficult scenarios, repeat only exercises they already perform well on, or optimize for the scoring rubric rather than developing the underlying skill.

    A stronger model separates practice from certification.

    During practice, encourage experimentation. Let reps restart. Let them fail. Let them try an unusual objection response and discover why it doesn’t work.

    Certification can come later, when the purpose explicitly changes from development to demonstrating readiness.

    This distinction is especially important because one of the advantages of AI practice is privacy. Yoodli describes its platform as enabling people to practice independently and receive feedback without requiring a manager in each session.

    Psychological safety isn’t a side benefit of roleplay.

    It’s one of the reasons people may practice more.

    Give Reps Something Useful After the First Attempt

    Feedback determines whether roleplay feels developmental or gimmicky.

    Imagine a rep completes a difficult discovery simulation and receives a score of 72.

    What should they do with that?

    A number alone isn’t coaching.

    Useful feedback should help the rep understand exactly what to change in the next attempt. Yoodli’s personalized feedback is designed to provide structured insights after roleplays on areas such as clarity, delivery, pacing, and alignment with organizational rubrics.

    A rep should be able to leave the simulation thinking:

    “I jumped into the pitch before understanding the business impact. Next time, I’m going to ask two more follow-up questions.”

    Then they should be able to try again immediately.

    That’s how AI roleplay becomes useful:

    attempt → insight → adjustment → repetition.

    If the feedback merely generates scores and dashboards, reps may complete the exercise once.

    If it helps them get noticeably better, they’re more likely to return.

    Make Practice Short Enough to Fit Into a Sales Day

    The competing activity for AI roleplay isn’t another training tool.

    It’s selling.

    That means a roleplay program can’t assume reps have large blocks of uninterrupted practice time.

    A better approach is to create scenarios that can be completed and repeated around actual sales activity.

    For example, instead of assigning a 60-minute generic negotiation course, a rep preparing for a procurement meeting could run a short scenario centered on the exact type of discount pressure they’re likely to encounter.

    The closer practice is to performance, the more naturally it fits into the job.

    This also means enablement teams should resist building enormous scenario libraries immediately. A smaller set of high-value simulations is often easier for reps to understand and adopt than dozens of options with unclear relevance.

    Put AI Roleplay Where Reps Already Work

    Every additional click creates friction.

    If reps have to remember a new URL, log into a separate environment, search through a training library, find the appropriate roleplay, and then manually record completion somewhere else, you’re making adoption harder than it needs to be.

    Practice works better when it’s integrated into existing workflows.

    Yoodli’s Salesforce integration, for example, lets sellers access AI roleplays inside Salesforce so practice can happen closer to the system reps already use to manage their work.

    The principle matters more than the specific integration:

    Don’t make reps leave work to learn how to do their work.

    If possible, surface practice through the CRM, LMS, enablement platform, Slack or Teams workflow, onboarding program, certification flow, or other systems reps already interact with.

    Yoodli also supports roleplay sharing, allowing scenarios to be distributed across an organization rather than requiring every rep to create their own.

    That lowers another source of friction: figuring out what to practice.

    Get Frontline Managers to Use the Data

    Sales reps pay attention to what managers reinforce.

    If enablement launches AI roleplay but frontline managers never mention it again, reps quickly understand the real priority.

    Adoption improves when managers use roleplay data in existing coaching rhythms.

    For example, a one-on-one could shift from:

    “How are your deals going?”

    to:

    “I saw you repeated the pricing scenario three times. Your clarification questions improved, but you still seem to move into discounting quickly. Let’s work on that.”

    Now roleplay has a visible connection to coaching.

    The rep isn’t practicing for the platform.

    They’re practicing to improve something their manager is actively helping them develop.

    Manager involvement matters beyond sales training too. LinkedIn has previously reported that only 35% of employees said their manager had encouraged them to learn in the previous six months, illustrating how easily learning initiatives can become disconnected from frontline leadership.

    Managers don’t need to conduct every roleplay.

    They do need to show that the practice matters.

    Don’t Make Managers the Roleplay Bottleneck

    There is an important distinction between manager involvement and manager facilitation.

    If every practice attempt still requires a manager to be present, AI roleplay hasn’t solved the scalability problem.

    Use AI for the repetitions.

    Use managers for interpretation, context, strategy, and higher-value coaching.

    This model has already been used at significant scale. Snowflake reported using Yoodli AI roleplays to get nearly 3,000 sellers pitch-ready while eliminating approximately 1,215 hours of manager grading time per quarter.

    The operational lesson is important.

    Roleplay adoption is easier to sustain when reps don’t need to book another person’s calendar every time they want to practice.

    Managers can then focus attention on sellers who need help rather than watching everyone perform the same baseline exercise.

    Recruit Your Best Reps as Scenario Designers

    Top performers can make roleplay programs much more credible.

    Instead of having enablement invent every exercise centrally, ask strong reps:

    What objections are you hearing this month?

    Which competitor is showing up more often?

    What question from a CFO recently caught you off guard?

    Where are new reps struggling?

    Which conversation would you have benefited from practicing six months ago?

    Those answers produce better scenarios.

    They also create social proof.

    A rep is more likely to practice a negotiation scenario when they know the enterprise team’s strongest AE helped build it than when it feels like generic training created far away from the field.

    Strong sellers can also contribute examples of what effective execution looks like without requiring everyone to imitate their exact wording.

    This creates a useful loop:

    field experience → practice scenario → team learning → better field experience.

    Tie Practice to Live Deals Without Turning It Into Surveillance

    One of the strongest ways to increase usage is to make roleplay immediately useful for current opportunities.

    A rep preparing for a high-stakes executive meeting could practice with an AI CFO.

    A rep entering negotiation could rehearse procurement pressure.

    A new AE working their first competitive opportunity could practice against the objections that competitor typically creates.

    That kind of practice doesn’t feel like extracurricular training.

    It feels like deal preparation.

    Yoodli has described this broader model as connecting practice to actual performance rather than simply measuring training completion.

    The line to avoid is turning every active deal into mandatory monitoring.

    Reps should feel that AI gives them an advantage before important calls—not that another system is being used to watch them.

    Use Events to Create the Habit, Then Move to Continuous Practice

    AI roleplay often benefits from a strong initial trigger.

    A product launch is a good example.

    Everyone needs to learn the new positioning. The deadline is clear. The relevance is obvious. Reps complete simulations to demonstrate readiness.

    That can create initial adoption.

    But the program shouldn’t end when certification ends.

    Once reps understand the value, roleplay can shift into more continuous uses:

    pre-call preparation, new objections, deal strategy rehearsal, onboarding reinforcement, competitive updates, and skill development.

    Yoodli’s sales guidance at scale framing makes a similar distinction: guidance is most effective when it becomes ongoing reinforcement rather than a one-time enablement event.

    The launch creates the habit.

    Real usefulness keeps it alive.

    Let Reps See Their Own Improvement

    Repeated practice becomes more motivating when sellers can see progress.

    Someone who scores poorly on a scenario may initially view AI feedback as criticism.

    But if their next attempts show clear improvement, the experience changes.

    The software becomes evidence that practice works.

    Yoodli provides team and manager dashboards as well as progress tracking for organization-wide deployments. The more important principle, however, is to make improvement visible to the learner—not just to leadership.

    You want a seller to think:

    “I used to struggle with this. Now I don’t.”

    That’s much more powerful than:

    “Enablement says I have to complete another module.”

    What Should You Measure to Know Whether Reps Are Actually Adopting AI Roleplay?

    Completion rate is useful, but it is not enough.

    A program can achieve 100% completion because managers require one simulation and still have virtually no genuine adoption.

    A better framework separates four stages of adoption:

    StageUseful signalWhat it tells you
    Initial adoptionFirst-roleplay completionReps entered the experience
    Repeat adoptionSecond and third attemptsReps returned to practice
    Habit formationPractice frequency over timeRoleplay is becoming recurring behavior
    Performance adoptionSkill improvement and live-call transferPractice is affecting execution

    Repeat use is particularly important.

    If reps only practice when assigned, you have a compliance program.

    If they voluntarily return before difficult conversations, you may have created a useful sales tool.

    You can also compare adoption by manager, team, tenure, and scenario. If one manager’s team practices significantly more than another’s, the issue may not be the platform. It may be manager reinforcement.

    Likewise, if reps repeatedly choose negotiation scenarios but avoid discovery exercises, that behavior tells enablement something about perceived value.

    Common Reasons AI Roleplay Adoption Fails

    The scenarios aren’t realistic. Reps immediately recognize situations that don’t resemble their customers.

    The program launches with too much complexity. Hundreds of scenarios, dozens of metrics, and complicated dashboards create cognitive overload.

    Everything is mandatory. When every exercise is treated as certification, reps stop using roleplay for experimentation.

    Feedback isn’t actionable. Scores without clear next steps give reps little reason to repeat the exercise.

    Managers ignore it. Reps quickly identify which programs leadership actually cares about.

    Practice is disconnected from active selling. Generic exercises lose against the immediate urgency of customer work.

    Reps think the AI is grading them for leadership. Fear changes practice from experimentation into performance management.

    Nobody updates the scenarios. Outdated positioning and irrelevant objections destroy credibility.

    These are program-design problems, not necessarily technology problems.

    A Practical Adoption Framework

    A useful rollout can be summarized as:

    Relevance → Safety → Simplicity → Feedback → Repetition → Manager reinforcement → Workflow integration

    Start with a revenue moment people care about.

    Give them a realistic scenario.

    Make the first experience safe.

    Keep the task simple.

    Show them something genuinely useful in the feedback.

    Let them immediately retry.

    Have managers reference the improvement.

    Then make the experience easy to return to.

    This is much more likely to produce sustained use than simply assigning a monthly roleplay quota.

    How AI Roleplay Adoption Can Translate Into Sales Outcomes

    Adoption itself isn’t the business outcome.

    The reason to improve adoption is to create enough practice for behavior to change.

    The intended chain is:

    More relevant practice → more repetitions → stronger skills → better live execution → better sales outcomes

    USB Payments, for example, reported a 50% reduction in seller ramp time, a 19% increase in meetings booked within 30 days, and a 20% improvement in meeting quality after adopting Yoodli. These are first-party results from one organization’s implementation rather than guaranteed outcomes.

    Salesforce’s 2026 State of Sales research also shows how quickly AI is moving into sales organizations: sales teams now identify investing in AI as their number-one growth tactic, while nine in ten teams use AI agents or expect to within two years.

    That makes adoption design increasingly important.

    Buying AI technology isn’t the same as absorbing it into how the sales organization works.

    Microsoft’s 2026 Work Trend Index makes a similar distinction more broadly, arguing that leading organizations are moving from simple AI adoption to AI absorption—redesigning workflows so AI becomes part of how work gets done.

    For AI sales roleplay, that means practice shouldn’t live on an island.

    It should become part of how reps prepare to sell.

    Make AI Roleplay Something Reps Use, Not Something They Complete

    Sales reps will use AI roleplay when it solves a problem they already have.

    They want to feel prepared for tomorrow’s call.

    They want to know how to answer a difficult objection.

    They want to avoid freezing in front of an executive.

    They want to get comfortable with new messaging before trying it on a customer.

    Build the roleplay program around those motivations.

    AI should reduce the friction of practice, not add another layer of process.

    For teams trying to create that kind of practice culture, Yoodli’s AI Roleplays give sellers a private environment to rehearse realistic customer conversations, receive immediate feedback, and repeat challenging scenarios until they’re ready.

    The adoption test is simple:

    When a rep has an important conversation tomorrow, do they think to practice today?

    If the answer eventually becomes yes, AI roleplay has moved from training software into the sales workflow.

    FAQ

    Should AI roleplay participation affect compensation or performance reviews?

    Usually not during the early adoption phase. Linking practice immediately to compensation can encourage reps to optimize for scores instead of experimenting. Organizations can hold sellers accountable for readiness while preserving a safe environment for developmental practice.

    Should managers see every AI roleplay attempt?

    Not necessarily. Giving reps some private practice space can encourage experimentation. Managers may need access to certification results, trends, or selected attempts, but organizations should establish transparent rules about what is visible and how the data will be used.

    How do you get veteran sellers to use AI roleplay?

    Avoid assigning them beginner scenarios. Ask experienced sellers to practice situations they genuinely find difficult—executive meetings, negotiations, new competitors, unfamiliar products, or strategic accounts—and involve them in creating scenarios for the wider team.

    What do you do if reps say the AI buyer feels unrealistic?

    Treat that feedback as program data. Compare the persona with actual calls, objections, and buyer behavior, then revise it. Reps are unlikely to adopt simulations they believe don’t represent their customers.

    Should AI roleplay be gamified?

    Light competition can help some teams, but leaderboards can also discourage practice if reps fear public low scores. Gamification works best when it rewards improvement, repetition, or team participation rather than simply ranking raw performance.

    How long should you give an AI roleplay program before judging adoption?

    Evaluate initial engagement quickly, but give the program enough time to move beyond mandatory launch activity. Look at repeat practice over several coaching cycles and determine whether reps continue using it after the initial certification or rollout deadline has passed.

    References

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  • Where Yoodli Is Headed: Building the AI Platform for Human Skills

  • Webinar Recap: A Live Look at Yoodli’s AI Platform for Human Skills

    Webinar Recap: A Live Look at Yoodli’s AI Platform for Human Skills

    Today we shared why Yoodli is becoming the AI Platform for Human Skills. On October 13, 2026, we showed it in a live webinar and product demo: AI coaching, AI roleplays, AI experts, course creation, and skills analytics, all working together.

    In a 30-minute live session, CEO and co-founder Varun Puri set the context, and VP of Product Kartik Murthy spent most of the time inside the product. He built a learning journey from a single prompt, opened the roleplay it generated, pulled up an AI expert inside Slack, and asked the analytics a question live. The chat filled up fast, and the questions told us as much as the demo did.

    Here is what we covered, what you asked, and where to go next. If you missed it, you can watch the full recording here.

    How teams use Yoodli today: onboarding, certification, and AI enablement

    Varun opened where Yoodli began: helping people communicate with confidence. That is still the core. But customers kept taking the platform further than we planned, and the platform is following them.

    Today, teams use Yoodli for five jobs beyond communication coaching:

    One example Varun pointed to: the Government of El Salvador uses Yoodli to scale doctor-patient communication training nationwide. That is a long way from interview prep, and it is exactly the kind of work the AI Platform for Human Skills is built around.

    The goal underneath all of it: help people get measurably better in their careers. In an AI-first world, how well you communicate and how fast you learn matter more, not less.

    Live demo: the five capabilities of the AI Platform for Human Skills

    The demo moved through all five capabilities, and they connect: what you build in one shows up in the next.

    Yoodli Coach: AI coaching in the flow of work

    Kartik started with the coach. It gets set up at onboarding and learns from every interaction after that. He showed prep for a call over the phone, a tip that surfaces during a Zoom meeting, and a weekly digest in Slack. Goals can come from the organization and from the learner, so the coaching supports both business priorities and personal growth.

    Yoodli Create: build an AI-powered course from one prompt

    Next, he typed a one-line description and built a complete learning journey on screen. Create turns an organization’s context into tutoring roleplays, games, decks, and more, and checks the content against the org’s own standards before it goes out. Approvals, versioning, and security reviews are built in.

    One attendee asked whether you need to upload source material first. You don’t. If you add it, Create uses it. If you don’t, the AI fills in the details.

    Yoodli Roleplays: realistic AI roleplay practice

    Rather than a separate demo, Kartik opened the roleplay that Create had just generated. Roleplays can pull real context from systems of record, support two-way screen sharing, and grade learners against your own rubrics instead of a generic one.

    Yoodli Personas: AI experts in Slack, on your site, and on calls

    Personas are AI experts built from your data, integrations, and outside context. Kartik showed one answering questions in Slack, then working on a website and in a call. They respect enterprise permissions, track their own quality with built-in evals, and can hand off to a person when a question needs one.

    Yoodli Measure: skills analytics, not completion rates

    Kartik closed by switching between the admin and learner views, then asking the data a question in plain language. Measure explains the numbers, not just the charts, maps progress to business outcomes for managers, and gives every learner a clear next step.

    Where Yoodli works: Zoom, Slack, phone, CRM, and more

    A recurring theme: learning sticks when it shows up where the work happens, not in a separate tab people forget to open. Kartik walked through where Yoodli lives today and where it is headed.

    One attendee asked whether the coach could appear inside Salesforce. That is on the list above, and it is a good signal of where customers want it most.

    Webinar Q&A: frequently asked questions about Yoodli

    The Q&A panel stayed busy the whole half hour. These were the questions that came up most, with the short answers.

    How many languages does Yoodli support?

    Yoodli works in more than 28 languages. The full list is in our help center.

    Can sales reps practice for a specific customer account?

    Yes. Yoodli roleplays can be grounded in past interactions with a specific customer, so a rep can rehearse the exact conversation they are about to have.

    Is Yoodli used in regulated industries like healthcare and financial services?

    Yes. Many Yoodli customers work in tightly regulated industries, and our Trust Center has the details security teams usually ask for. Bank of Colorado, for example, uses Yoodli for customer service training.

    Should we build AI roleplay training in-house or buy a platform?

    It depends on how much you want to own scoring, model updates, and coaching over time. We cover the tradeoffs in our guide, Build vs. buy for AI sales roleplay.

    How do current customers get access to the new capabilities?

    Reach out to your customer success manager. Several customers asked for early access during the session, and our team is following up with each of them directly.

    Does Yoodli partner with training and coaching firms?

    Yes. Yoodli partners with many training and coaching companies, and we would love to talk if that is you.

    Watch the webinar recording or book a Yoodli demo

    Roleplays are still at the heart of Yoodli. They are now one part of a platform built to help people learn faster and keep getting better at work.

    • Missed part of it? Watch the recording. Everyone who registered will get it by email, along with the slides.
    • Headed to DevLearn? So are we. Stop by the Yoodli booth to say hi, see the platform in person, or swap launch tips with other customers.
    • Want to see it for your team? Book a personalized demo and we will walk through how the AI Platform for Human Skills fits your org.

    Thank you to everyone who joined live and kept the questions coming. We are betting on people, and this session reminded us why.

  • Yoodli vs. Hyperbound: which AI roleplay platform is right for your organization?

    Yoodli vs. Hyperbound: which AI roleplay platform is right for your organization?

    Yoodli vs Hyperbound is a common shortlist for teams buying AI roleplay. Both platforms put reps in front of a realistic AI buyer, grade the conversation on a scorecard, and connect practice to real calls. The difference is how much of the job one platform covers. Yoodli, the AI Platform for Human Skills, is the end-to-end solution: it teaches the material, runs the practice, coaches reps on their real customer calls, and grades all of it against the same rubric, in the flow of work, for every team that has high-stakes conversations.

    The pressure on readiness keeps rising. RepVue’s Cloud Sales Index put quota attainment at 43.60% for Q2 2026, so most reps finished the quarter short. Enablement teams need practice that carries into live deals, and they need it across sales, customer success, partners, and managers. Buyers still lean on reps when it counts. Gartner found that 69% of B2B buyers turn to sales reps to validate AI-generated insights.

    This guide covers what Yoodli does that Hyperbound doesn’t. Every claim about Hyperbound comes from Hyperbound’s own website as of October 2026, so you can check it yourself.

    Yoodli vs Hyperbound: what each platform offers

    CapabilityYoodliHyperbound
    AI roleplays graded against your scorecard✓✓
    Multi-persona buying committees✓✓
    Customizable personas, rubrics, and scoring✓✓
    SOC 2 Type 2 and GDPR✓✓
    End-to-end solution: teach, practice, coach on real calls, and measure✓No teaching layer
    Coaching before, during, and after real calls✓Separate Perform license
    Follow-up roleplays built from each rep’s real calls✓Separate Perform license
    Double screen share: the AI shares its screen while the rep shares theirs✓Rep-side screen share only
    AI Tutor that teaches from your slides, documents, and video✓✗
    Full learning programs built from a prompt✓✗
    AI tool training and certification✓✗
    Cross-site: embeds in your LMS, Salesforce, partner portal, or website✓LMS and CMS
    Claude and ChatGPT connection through MCP✓✗
    Programs for sales, CS, partners, managers, and leadership✓Sales teams
    Published scale: 1M+ users and 3M+ practice minutes a month✓Not published

    Hyperbound capabilities based on hyperbound.ai, October 2026.

    Both platforms grade AI roleplays on your scorecard, run multi-persona buying committees, let you customize personas and rubrics, and meet SOC 2 Type 2 and GDPR requirements. Hyperbound scores and coaches real calls on its separate Perform license. Every other row on this list is something Hyperbound doesn’t offer.

    What Hyperbound does well

    Hyperbound is a strong AI roleplay and call coaching product for sales teams. Its Practice product includes multi-party roleplays, live screen-share roleplays where the AI reacts to the rep’s demo, buyer bots built from LinkedIn profiles or call transcripts, competitions, certifications, and 30+ languages.

    Its Perform license adds real call scoring, post-call review, deal coaching, CRM intelligence, and an AI coach that turns real calls into practice. Hyperbound also offers live call coaching as a Perform add-on, Kota, an AI agent that tracks skill trends across roleplays and calls, and integrations with CRMs, call recorders, dialers, LMS and CMS tools, SSO and SCIM, and Slack and Teams. It publishes customer stories from Vanta, ALKU, and Klaviyo on its homepage. For a sales team that wants practice and call scoring from one vendor, Hyperbound does that job.

    What Yoodli has that Hyperbound doesn’t

    An end-to-end solution, from learning to real calls

    Yoodli is the end-to-end solution. Yoodli Create builds a full learning journey from your product docs, call recordings, and methodology. Yoodli Roleplays teach the material and then test it. Yoodli Coach follows reps onto their real calls, with coaching before, during, and after each call. Yoodli Measure grades practice and real calls against the same rubric, so leaders see one view of readiness.

    Hyperbound starts at the roleplay. Its Practice product has no teaching layer, so the learning content lives in your LMS or a separate course. Real call scoring and call-to-practice coaching sit on a separate Perform license, according to Hyperbound’s pricing page.

    Double screen share

    Yoodli roleplays run on double screen share. The AI shares its own screen and presents slides, documents, and video live, teaches from your real material, answers questions, and then moves straight into the practice conversation. The rep shares their screen at the same time to run a demo while the AI buyer reacts. Hyperbound’s live screen-share roleplays run on the rep’s side: the AI watches the rep’s screen, and it doesn’t share or teach from its own.

    AI tool training and certification

    Teams now have to learn Copilot, Salesforce, and the AI tools leadership just bought, on top of the pitch. Yoodli has tool training templates built to certify people on the AI platforms and sales tools they already use, so you can prove your team can actually use the software. Hyperbound’s certifications cover sales conversations, and its published materials don’t describe AI tool training.

    Cross-site, in the flow of work

    Yoodli runs cross-site, in the flow of work. Programs embed on your own site, from an internal portal or intranet to an LMS landing page, through a web embed. Roleplays run inside Salesforce and inside your LMS through SCORM and LTI. Personas can sit on your partner portal or website. Hyperbound connects to LMS and CMS tools, and its published materials don’t describe embedding roleplays on a website or partner portal.

    Yoodli also handles complex integrations. It connects to call recording platforms, CRM, LMS, HRIS, SSO, and SCIM, and it connects to Claude and ChatGPT through MCP, so content and context from your tools flow into practice without manual rebuilding. Hyperbound’s integration list covers CRM, call recorders, dialers, LMS and CMS, SSO and SCIM, and Slack and Teams, and it doesn’t list an MCP connection.

    One platform for more than sales

    Hyperbound is built for sales teams. Yoodli started with revenue teams and now runs sales readiness, customer success certification, partner enablement, manager training, and leadership development on one platform. RingCentral, for example, cut customer support call certification time by 90% with Yoodli AI roleplays. When CS, partner, or L&D teams ask for the same tool a year after the sales rollout, they work from the same rubrics and dashboards instead of buying a second platform. Gartner found that sales organizations that collaborate on enablement content with marketing and service are 2.4 times more likely to achieve strong commercial growth.

    Where each platform coaches across a rep’s week

    The table below follows one rep through a week, from learning the material to coaching after a real call.

    Stage of a rep’s weekYoodliHyperbound
    1. Learn the materialYes. With double screen share, the AI teaches from your slides, documents, and video.No. Learning content lives in your LMS.
    2. Practice in AI roleplaysYes. Roleplays graded against your rubric.Yes. Roleplays graded on a custom scorecard.
    3. Real customer call graded on your rubricYes. Real calls are graded on the same rubric as practice.Yes, with a separate Perform license.
    4. Coaching on that callYes. The coach plays back the exact moment that needs work.Yes, with a separate Perform license.
    5. Follow-up roleplay built from the callYes. The AI buyer mirrors the real buyer’s role, objections, and style.Yes, with a separate Perform license.
    6. Coach remembers the rep next timeYes. Coaching builds on each rep’s past sessions.Yes. Kota tracks skill trends across roleplays and calls.

    How Yoodli works for sales teams

    Yoodli is one platform with five capabilities, and AI roleplays sit at the center.

    • Yoodli Roleplays: Reps practice cold calls, discovery, demos with double screen share, negotiations, and multi-persona buying committees, graded against your rubric. Roleplays can also teach first, with the AI presenting slides, documents, and video.
    • Yoodli Create: Full learning journeys from a prompt, built from your docs, call recordings, and methodology.
    • Yoodli Coach: Coaching before, during, and after real calls, follow-up roleplays built from those calls, and suggested practice delivered by email or Slack.
    • Yoodli Personas: AI buyers and experts with the appearance, voice, and context you set, on Yoodli or embedded on your site.
    • Yoodli Measure: Progress by learner, team, and program against your rubrics.

    Yoodli works with the methodology you already run, whether that’s Sandler, MEDDPICC, Challenger, SPIN, or your own framework. Admins customize personas, rubrics, scoring, and success criteria. Yoodli is SOC 2 Type 2, GDPR, and EU AI Act compliant, and your data never trains AI models. Admins set org-wide data retention, users can delete any session at any time, and data is deleted within 60 days of a deletion request or contract end.

    Results from Yoodli customers

    Yoodli has more than 1 million users, who log more than 3 million practice minutes a month. Its published results come from some of the largest sales organizations in enterprise tech.

    Across Yoodli customers, reps who practice three or more scenarios a week close 23% more deals, and new sales hires ramp 40% faster (Yoodli customer data, 2026).

    “The Yoodli rollout was such a success that Google Cloud is now using Yoodli AI coaching for additional enablement programs across the company.”

    Jason Nager, Head of GTM, Google Cloud

    “We chose Yoodli because it delivered natural, AI-driven practice at scale.”

    Nathan Irby, Principal Technical Platform Enablement Strategist, Snowflake

    How to choose between Yoodli and Hyperbound

    Run a proof of concept with the same persona, the same scenario, and the same rubric on both platforms. Give it two weeks with a real team. Then score each platform on five questions.

    • Does one license cover teaching, practice, real-call coaching, and measurement?
    • Does it support double screen share, with the AI sharing its own screen to teach the material?
    • Can you certify your team on the AI and sales tools they use every day?
    • Does it run cross-site, inside your LMS, CRM, partner portal, and website?
    • Will CS, partner, manager, and leadership teams be able to use it later?

    Yoodli fits teams that want an end-to-end solution, with learning, practice, real-call coaching, and tool training in one place, on a platform their CS, partner, and leadership teams can use later.

    Yoodli vs Hyperbound FAQ

    Is Yoodli better than Hyperbound?

    Yoodli is the stronger choice for teams that want an end-to-end solution. Both run graded AI roleplays and connect practice to real calls. Yoodli also teaches the material with double screen share, builds full learning programs from a prompt, certifies teams on AI tools, and runs cross-site for sales, CS, partner, and leadership teams on one platform.

    Do I need a separate license for real-call coaching?

    On Hyperbound, real call scoring, post-call review, and call-to-practice coaching sit on the Perform license, which is separate from Practice. Yoodli Coach connects to leading call recording platforms, plays back the moment in a rep’s call that needs work, and ends with a follow-up roleplay built from that call, graded on the same rubric as practice.

    What is the best Hyperbound alternative for enterprise teams?

    Yoodli is the Hyperbound alternative built for enterprise teams that train more than sales. It runs the same kind of AI roleplay practice and adds an AI that teaches from its own screen, full learning programs from a prompt, AI tool training, and one platform for sales, CS, partner, and leadership programs. Google Cloud, RingCentral, Harness, and Snowflake use it.

    How long does it take to set up Yoodli?

    You can build your first AI roleplay in minutes. Most enterprise teams go live in about three weeks, after connecting integrations, testing roleplays, and gathering feedback from a pilot group. Every customer gets a dedicated CSM and hands-on onboarding, so enablement doesn’t have to run the rollout alone.

    See Yoodli on your own calls

    The fastest way to compare Yoodli vs Hyperbound is to see both on your own material. Talk to our team and we’ll build a roleplay from your playbook and show you coaching on your reps’ real calls.

  • Yoodli vs. Second Nature: Which AI Sales Roleplay Platform Is Better?

    Yoodli vs. Second Nature: Which AI Sales Roleplay Platform Is Better?

    Yoodli vs. Second Nature: Which AI Sales Roleplay Platform Is Better?

    Yoodli vs Second Nature comes up in most AI sales roleplay evaluations. Both platforms put reps in front of an AI buyer, score the conversation against a rubric, and let them try again. That’s where Second Nature stops. Yoodli, the AI Platform for Human Skills, is customizable to anything you throw at it: any framework from BANT to MEDDPICC to your own, any persona, any rubric, and any team. It’s also the end-to-end solution. It teaches the material, runs the practice, coaches reps on their real customer calls, and grades all of it against your rubric, in the flow of work.

    That matters more every quarter. RepVue’s Cloud Sales Index put quota attainment at 43.60% for Q2 2026, which means most reps finished the quarter short. A good practice score doesn’t fix that on its own. Enablement teams need to know whether the skill shows up in front of a buyer. Buyers still lean on reps when it counts. Gartner found that 69% of B2B buyers turn to sales reps to validate AI-generated insights.

    This guide covers what Yoodli does that Second Nature doesn’t. Every claim about Second Nature comes from Second Nature’s own website, so you can check it yourself.

    Yoodli vs Second Nature: what each platform offers

    CapabilityYoodliSecond Nature
    AI roleplays graded against your rubric✓✓
    AI builds a full training program from a prompt✓✓
    Data deletion and retention controls✓✓
    Customizable to any framework and any role: BANT, MEDDPICC, or your own, for buyers, managers, partners, and executives✓Sales and service roleplays
    The same custom rubric grades practice and real calls✓✗
    End-to-end solution: teach, practice, coach on real calls, and measure✓✗
    Coaching before, during, and after reps’ real customer calls✓✗
    Follow-up roleplays built from each rep’s real calls✓✗
    Coach that remembers each rep’s past sessions✓✗
    Double screen share: the AI shares its screen while the rep shares theirs✓✗
    AI tool training and certification✓✗
    Cross-site: embeds in your LMS, Salesforce, partner portal, or website✓LMS only
    Complex integrations: call recording, CRM, LMS, HRIS, SSO/SCIM, and Claude or ChatGPT (MCP)✓CRM, LMS, and SSO

    Second Nature capabilities based on secondnature.ai, October 2026.

    Both platforms grade AI roleplays against a rubric, build a training program from a prompt, and let you delete data. Every other row on this list is something Second Nature doesn’t offer.

    What Second Nature does well

    Second Nature is a mature AI roleplay tool for sales and service teams. Reps practice discovery calls, cold calls, demos, and objection handling with an AI buyer, get a score and feedback, and repeat the session as often as they like. Its AI Assistant builds roleplays from a description, uploaded files, or web pages, and since September 2026 it can build a full multi-course program from one description.

    Second Nature also connects to Salesforce, HubSpot, MS Active Directory, SSO, and the major LMS platforms, and it lists 30+ languages. For a team that wants a structured rehearsal tool for sales and service reps, it does that job.

    What Yoodli has that Second Nature doesn’t

    Customizable to anything you throw at it

    Yoodli bends to how your team sells. Rubrics follow your framework, whether that’s BANT, MEDDPICC, Sandler, Challenger, SPIN, or one you built in-house. Admins create their own personas, rubrics, scoring, and success criteria, or let Yoodli Create build them from whatever you upload: decks, product docs, call recordings, playbooks, or a one-line prompt.

    Personas go well past the buyer. Teams build managers, partners, customers, executives, and new hires, so one platform covers a pricing negotiation, a partner certification, and a hard feedback conversation. Reps can spin up their own practice inside the guardrails you set. The same custom rubric then grades real calls, so the bar reps practice against is the bar they’re measured on.

    Second Nature also offers custom personas and editable scoring criteria. They’re built for sales and service conversations, and they stop at practice because Second Nature doesn’t grade real calls.

    An end-to-end solution, from learning to real calls

    Yoodli is the end-to-end solution, covering the full cycle in one platform. Yoodli Create builds the program from your product docs, call recordings, and methodology. Yoodli Roleplays teach the material and then test it. Yoodli Coach follows reps onto their real calls. Yoodli Measure grades practice and real calls against the same rubric, so leaders see one view of readiness instead of stitching together three tools.

    Coaching on real customer calls

    Second Nature doesn’t coach reps on their real customer calls. Its feedback lands inside the practice session. So a rep can pass certification on Friday and still lose control of a pricing conversation on Monday, and nothing in the platform tells you.

    Yoodli Coach connects to leading call recording platforms. On a cadence you set, each rep gets a nudge by email or Slack to start a coaching session. The coach plays back the exact moment from that rep’s call that needs work, then ends the session with a follow-up roleplay built from that call. The AI buyer mirrors the real buyer’s role, seniority, objections, and communication style. The coach also remembers each rep’s past sessions, so coaching builds on what came before instead of starting over.

    Double screen share

    Yoodli roleplays run on double screen share. The AI shares its own screen and presents slides, documents, and video live, teaches from your real material, answers questions, and then moves straight into the practice conversation. The rep shares their screen at the same time to run a demo while the AI buyer reacts. Second Nature’s published materials describe rep-side screen share and slide practice, and they don’t describe an AI that shares its own screen.

    AI tool training and certification

    On top of the pitch, teams now have to learn Copilot, Salesforce, and the AI tools leadership just bought. Yoodli has tool training templates built to certify people on the AI platforms and sales tools they already use, so you can prove your team can actually use the software. Second Nature’s published materials don’t describe AI tool training.

    Cross-site, in the flow of work

    Yoodli runs cross-site, in the flow of work. Programs embed on your own site, from an internal portal or intranet to an LMS landing page, through a web embed. Roleplays run inside Salesforce and inside your LMS through SCORM and LTI. Personas can sit on your partner portal or website.

    Yoodli also handles complex integrations that Second Nature’s list doesn’t cover. It connects to call recording platforms, CRM, LMS, HRIS, SSO, and SCIM, and it connects to Claude and ChatGPT through MCP, so content and context from your tools flow into practice without manual rebuilding. Second Nature lists CRM, SSO, identity management, and LMS connections.

    One platform for more than sales

    Second Nature is sales and service focused. Yoodli started with revenue teams and now runs sales readiness, customer success certification, partner enablement, and leadership development on one platform. RingCentral, for example, cut customer support call certification time by 90% with Yoodli AI roleplays. When CS, partner, or L&D teams ask for the same tool a year after the sales rollout, they work from the same rubrics and dashboards instead of buying a second platform. Gartner found that sales organizations that collaborate on enablement content with marketing and service are 2.4 times more likely to achieve strong commercial growth.

    Where each platform coaches across a rep’s week

    The table below follows one rep through a week, from learning the material to coaching after a real call.

    Stage of a rep’s weekYoodliSecond Nature
    1. Learn the materialYes. With double screen share, the AI teaches from your slides, documents, and video.Yes. Course videos in its built-in LMS.
    2. Practice in AI roleplaysYes. Roleplays graded against your rubric.Yes. Roleplays scored against a rubric.
    3. Real customer call graded on your rubricYes. Real calls are graded on the same rubric as practice.No.
    4. Coaching on that callYes. The coach plays back the exact moment that needs work.No.
    5. Follow-up roleplay built from the callYes. The AI buyer mirrors the real buyer’s role, objections, and style.No.
    6. Coach remembers the rep next timeYes. Coaching builds on each rep’s past sessions.No.

    How Yoodli works for sales teams

    Yoodli is one platform with five capabilities, and AI roleplays sit at the center.

    • Yoodli Roleplays: Reps practice cold calls, discovery, demos with double screen share, negotiations, and multi-persona buying committees, graded against your rubric. Roleplays can also teach first, with the AI presenting slides, documents, and video.
    • Yoodli Create: Full learning journeys from a prompt, built from your docs, call recordings, and methodology.
    • Yoodli Coach: Coaching on real calls, follow-up roleplays built from those calls, and suggested practice delivered by email or Slack.
    • Yoodli Personas: AI buyers and experts with the appearance, voice, and context you set, on Yoodli or embedded on your site.
    • Yoodli Measure: Progress by learner, team, and program against your rubrics.

    Yoodli works with whatever framework you run, from BANT and MEDDPICC to Sandler, Challenger, SPIN, or your own. Admins customize personas, rubrics, scoring, and success criteria for every team. Yoodli is SOC 2 Type 2, GDPR, and EU AI Act compliant, and your data never trains AI models. Admins set org-wide data retention, users can delete any session at any time, and data is deleted within 60 days of a deletion request or contract end.

    Results from Yoodli customers

    Yoodli’s published results come from some of the largest sales organizations in enterprise tech.

    Across Yoodli customers, reps who practice three or more scenarios a week close 23% more deals, and new sales hires ramp 40% faster (Yoodli customer data, 2026).

    “The Yoodli rollout was such a success that Google Cloud is now using Yoodli AI coaching for additional enablement programs across the company.”

    Jason Nager, Head of GTM, Google Cloud

    “We chose Yoodli because it delivered natural, AI-driven practice at scale.”

    Nathan Irby, Principal Technical Platform Enablement Strategist, Snowflake

    How to choose between Yoodli and Second Nature

    Run a proof of concept with the same persona, the same scenario, and the same rubric on both platforms. Give it two weeks with a real team. Then score each platform on six questions.

    • Can you build personas, rubrics, and scenarios for any framework and any role, from your own material?
    • Does it coach reps on their real customer calls, or only inside practice?
    • Does it support double screen share, with the AI sharing its own screen to teach the material?
    • Can you certify your team on the AI and sales tools they use every day?
    • Does it run cross-site, inside your LMS, CRM, partner portal, and website?
    • Will CS, partner, and leadership teams be able to use it later?

    Yoodli fits teams that want a platform they can customize to anything, with practice, real-call coaching, and tool training in one place, on a platform their CS, partner, and leadership teams can use later.

    Yoodli vs Second Nature FAQ

    Is Yoodli better than Second Nature?

    Yoodli is the stronger choice for teams that need a platform they can customize to anything. Both run graded AI roleplays. Yoodli takes any framework, persona, or rubric you build, coaches reps on their real customer calls, runs double screen share, certifies teams on AI tools, and works cross-site in your LMS, Salesforce, and website.

    Can Yoodli score against BANT, MEDDPICC, or our own framework?

    Yes. Admins build rubrics around BANT, MEDDPICC, Sandler, Challenger, SPIN, or an in-house framework, and set the scoring and success criteria. Yoodli grades every roleplay and real call against that rubric, so reps practice against the same bar they’re measured on in live deals.

    Can Yoodli coach reps on their real sales calls?

    Yes. Yoodli Coach connects to leading call recording platforms, plays back the moment in a rep’s call that needs work, and ends each session with a follow-up roleplay built from that call. Practice and real calls are graded against the same rubric, so managers can see whether a skill carries into live deals.

    What is the best Second Nature alternative for enterprise sales teams?

    Yoodli is the Second Nature alternative built for enterprise sales teams. It runs the same kind of AI roleplay practice and adds real-call coaching, AI tool training, double screen share, and one platform for sales, CS, partner, and leadership programs. Google Cloud, Snowflake, Harness, and Clari use it.

    See Yoodli on your own calls

    The fastest way to compare Yoodli vs Second Nature is to see both on your own material. Talk to our team and we’ll build a roleplay from your playbook and show you coaching on your reps’ real calls.

  • Learning Analytics: What L&D Teams Should Measure Beyond Completions

    Learning Analytics: What L&D Teams Should Measure Beyond Completions

    Learning Analytics: What L&D Teams Should Measure Beyond Completions

    Learning analytics is the practice of collecting and analyzing data about learners and learning programs to understand what is working and improve it. In most companies, learning analytics starts and ends with completions, enrollments, and satisfaction scores. Those numbers show activity. They rarely show whether anyone got better at their job.

    L&D teams are under pressure to show impact, and activity metrics do not make that case. This post covers the learning analytics that matter, how to collect skill data, and how to report results in a way business leaders find useful. It also covers how Yoodli approaches measurement for practice-based programs.

    Why Completion Metrics Fall Short

    Completion rates are easy to collect and easy to report. They answer one question: did people finish the training? That matters for compliance programs, but it says nothing about behavior change.

    Satisfaction scores have the same problem. Learners can enjoy a course and change nothing afterward. Business leaders know this, which is why L&D reports built on completions and satisfaction often get a polite nod and little budget.

    The stakes are rising. The LinkedIn Workplace Learning Report 2025 found that 49% of L&D professionals say their executives worry employees lack the skills to execute strategy. Answering that worry requires skill data.

    A Framework for Learning Analytics

    The Kirkpatrick Model gives a useful structure. It describes four levels of evaluation: reaction, learning, behavior, and results. Most L&D reporting lives at level one and level two. The value sits at levels three and four.

    • Reaction: did learners find the training relevant and useful?
    • Learning: did they gain the knowledge or skill?
    • Behavior: are they using it on the job?
    • Results: did business outcomes change?

    Yoodli’s breakdown of the Kirkpatrick Model covers each level in more depth. For learning analytics, the key point is that behavior data is the bridge between training and results, and it is the level most programs skip.

    The Learning Analytics That Matter

    A useful learning analytics setup tracks a small set of metrics at each level. Here are the ones that tend to matter most.

    Skill scores

    Rubric-based scores from realistic practice show how well a learner performs a skill. Track them by criterion, so you can see which parts of a skill are strong and which need work.

    Skill progression

    Scores over time show improvement. A learner who moves from a low score to a passing score across several attempts is building the skill. A learner whose scores stay flat needs different support.

    Time to proficiency

    How long it takes a learner to reach a defined standard is one of the most useful numbers for onboarding and certification programs. Shorter time to proficiency means people contribute sooner.

    On-the-job behavior

    Signals from real work, such as call reviews, manager observations, or quality scores, show whether the skill transferred. This is the hardest data to collect and the most persuasive to business leaders.

    Spread between performers

    The gap between your strongest and weakest performers on a skill tells you how consistent the team is. A narrowing gap means training is lifting the middle and bottom of the team.

    How to Collect Skill Data

    Skill data requires observing performance. For human skills such as sales conversations, coaching, and customer support, that means scored practice and reviewed real conversations.

    Yoodli Roleplays score each practice conversation against your rubric. Yoodli Coach reviews real calls from Gong and Kaia against the same rubric. Together they give you practice data and real-work data in the same format, which makes it possible to compare them.

    Yoodli Measure brings the results together. It shows progress by learner, team, and program against your rubrics, in one dashboard with role-based access.

    Reporting Learning Analytics to Leaders

    Business leaders want to know three things: are people getting better, is the business seeing a difference, and where should we invest next. Build reports around those questions.

    • Lead with skill change: show the before-and-after scores for the skills the business cares about.
    • Connect to the business: pair skill data with a business metric the leader already tracks, such as ramp time, quality scores, or customer satisfaction.
    • Show where to act: highlight the teams or skills with the biggest remaining gaps.
    • Keep it short: one page with three or four charts beats a long deck.

    Report on a regular rhythm. A quarterly skills update, sent before budget conversations start, keeps learning analytics in front of leaders when decisions get made. Include one short story alongside the numbers, such as a team that moved from below standard to certified in six weeks. Stories make the data memorable.

    Use customer language. Sales leaders care about ramp and win rates. Support leaders care about quality and handle time. HR leaders care about manager effectiveness and retention. Frame the same skill data in each audience’s terms.

    Examples of Skill-Based Reporting

    Harness used Yoodli scoring to review rep practice and cut sales training review time by 75%. Clari used Yoodli AI roleplays and improved GTM conversation quality by 36%. In both cases, the reporting focused on skill and efficiency, which gave leaders a clear picture of what the program delivered.

    Ochsner Health used Yoodli for frontline leader conversations and saw the biggest gains in the lowest-scoring skills. That is the kind of insight learning analytics should surface: where the program helped most.

    Building a Learning Analytics Practice

    Start with one program and one business question. For example: are new support agents reaching quality standards faster? Define the skill rubric, set up scored practice, and pick the business metric to compare against. Run the program for a quarter and report the results.

    Then build out. Add programs one at a time, keep rubrics consistent where skills overlap, and standardize the report format. Within a year, L&D can show skill progress across the business instead of activity counts.

    For data handling, choose platforms that meet your security standards. IBM’s overview of learning analytics covers broader considerations for collecting and using learner data responsibly.

    Learning Analytics for Sales and Support Teams

    Revenue and support teams are often the easiest place to show learning impact, because their work already produces data. Calls are recorded, quality is scored, and outcomes like meetings booked or customer satisfaction are tracked.

    For sales teams, pair practice scores with ramp time, win rates, or meetings booked. USB Payments used Yoodli and booked 19% more meetings within 30 days. Yoodli’s post on measuring sales coaching effectiveness covers which sales metrics respond to coaching.

    For support teams, pair practice scores with quality assurance scores and customer satisfaction. The Yoodli customer support use case shows how support teams practice difficult calls before they happen.

    Mistakes to Avoid

    Do not measure everything. A dashboard with fifty metrics hides the three that matter. Pick the metrics tied to your business question and ignore the rest.

    Do not compare scores across different rubrics. A score on a discovery rubric and a score on a negotiation rubric measure different things. Keep comparisons within the same skill.

    Do not report in isolation. Share drafts of your learning analytics with the business owner before a formal review. They will tell you which numbers matter to them and which ones need more context, and they will arrive at the review already invested in the results.

    Do not wait for perfect data. Many teams delay measurement until they have every system connected. Start with the data you have, report what it shows, and improve the setup over time.

    Do not use practice scores to punish. Learners need room to fail in practice. If early scores feed performance reviews, people stop practicing honestly, and your data loses its value.

    Learning Analytics by Kirkpatrick Level

    This table maps useful learning analytics to the four Kirkpatrick levels.

    LevelQuestionExample metric
    ReactionDid learners find it useful?Post-session survey
    LearningDid they gain the skill?Rubric scores in practice
    BehaviorAre they using it on the job?Scores on reviewed real calls
    ResultsDid business outcomes change?Ramp time, quality scores, or win rate

    Frequently Asked Questions

    What is learning analytics?

    Learning analytics is collecting and analyzing data about learners and training programs to understand what works and improve it. Useful learning analytics goes beyond completions and satisfaction to measure skill progress, on-the-job behavior, and business results connected to training.

    What metrics should L&D teams track?

    L&D teams should track skill scores by criterion, skill progression over time, time to proficiency, on-the-job behavior signals, and the spread between top and bottom performers. Completion and satisfaction still matter for some programs, but they do not show whether people improved.

    How do you measure behavior change from training?

    Measure behavior change by observing performance before and after training against the same rubric. For conversation skills, that means scored practice and reviewed real calls or meetings. Compare scores over time and pair them with manager observations to confirm the skill shows up on the job.

    How do you show training ROI with learning analytics?

    Connect skill improvement to a business metric leaders already track, such as ramp time, quality scores, or customer satisfaction. Show the skill change first, then the business change, and explain the link. A focused one-page report built around one business question is usually most persuasive.

    Learning analytics earns L&D a seat in business conversations when it shows that people got better. Skill data from scored practice and real work gives teams the evidence to make that case.