AI sales coaching: how to evaluate AI roleplay tools

In this article

AI buyer realism
Feedback worth acting on
Score vs manager judgment
Coaching guidance
The checklist for every demo
How Tangelo scores
FAQ
Sources

Summary

When you buy AI sales coaching or training, a realistic-sounding AI buyer is not enough; the feedback also has to be accurate, and the changes it suggests should be changes your best managers would also suggest.

Questions to ask when evaluating AI roleplay tools

Does the AI buyer stay realistic through a full-length call?
How well does the tool's feedback show the rep what to change in their next practice roleplay?
How closely does the AI's score of a rep's practice roleplay match your managers' judgment?
How well does the tool show a manager what to coach next after each roleplay?

See below for a checklist you can use to evaluate the AI roleplay tools you are considering. We recommend trying each one in a demo or free trial and comparing the results.

HubSpot says AI sales coaching “uses artificial intelligence to analyze sales conversations and deliver personalized coaching feedback to sales reps.”⁠¹ AI roleplay tools let reps practice sales calls with AI-simulated buyers.

Check 1 of 4

Check that the AI buyer stays realistic during practice calls that resemble your reps' real ones

Start with one skill, such as answering a pricing objection, and write a scenario that includes what a real rep would know: the buyer's role and priorities, the stage of the deal and the history so far. Then write the scenario's scoring criteria: in a pricing scenario, the rep might earn credit for uncovering why the buyer doubts the value before offering a discount, rather than for reciting a rebuttal.
Ask each vendor to set up the scenario for a demo, or build it yourself in a free trial or pilot, and have an experienced manager play the rep before your reps try it.

The AI buyer should answer the way a real buyer would, and the rep should have to listen and adapt. If the buyer does something a real buyer would not, such as naming the concern the rep is meant to uncover before the rep has asked about it, edit the scenario's instructions, or ask the vendor to, so the buyer doesn't mention that concern until the rep asks. If the buyer makes the same mistake after that correction, count that against the product.
Test the scenario on a call as long and as unscripted as your real ones. Go off script, return to something said earlier, name a competitor, and note where the AI buyer stops sounding like your buyers.

If your reps give product demos or meet several stakeholders on one call, test that too: ask each vendor to run a roleplay with more than one buyer or a shared screen, and compare how closely each vendor's roleplay resembles those calls.

Check 2 of 4

Look for feedback that is accurate, specific and worth acting on

Read a practice roleplay's feedback beside its recording. Good feedback is specific and correct about what the rep did and the effect it had on the buyer, and the changes it suggests are changes your best managers would also suggest.

Vague “Be more consultative.”
Specific “You offered a discount before asking why the buyer thought the price was too high. On the next attempt, find out whether the concern is budget, value or a competing offer.”

Check that the feedback quotes the rep accurately, with no invented or misheard lines, and that a reasonable answer that differs from your script isn't marked as a mistake. On the rep's next practice roleplay, a manager should be able to hear the rep make the suggested change and judge whether the buyer responded better.

Check 3 of 4

Check that the roleplay score matches your managers' judgment

Write the scoring criteria in words a rep and a manager both understand. For an objection-handling exercise, the criteria might be: identify the concern, confirm with the buyer that you understood it and propose a specific next step.

Decide which mistakes rule out a passing score.
In a pilot, have two managers separately score a small sample of practice roleplay recordings against the same criteria, note how often their scores match, then agree on a rating for each. Where the two managers disagree, clarify the criteria before you trust any automated score.
Compare the automated scores with your managers' agreed ratings, and look into any difference that would change a coaching or certification decision. Google Cloud gives similar advice for AI models that grade other AI output, not sales reps: compare the model's scores with human ratings⁠².

Check 4 of 4

Check that a manager can open any practice roleplay and see what to coach next

Agree in advance on when a manager should open a practice roleplay, for example:

a disputed score
repeated difficulty with the same skill
preparation for an important customer conversation

The manager then needs the recording, criteria, score and feedback for that attempt, and a way to tell the rep what to practice next. After a rep passes a practice roleplay, the manager can ask them to explain why their answer worked, then assign a different buyer situation. A new scenario tests whether the rep can apply the skill beyond a conversation the rep already knows.

In a vendor's demo, ask the vendor to open a sample rep's practice roleplay from the manager's view; in a free trial, open a practice roleplay by one of your own reps. Have one of your managers review the recording and rate what the product suggests coaching next: did it catch what matters most? And were its feedback and insights otherwise valuable?

A checklist for every AI roleplay tool, including Tangelo's

Before your first vendor demo, decide which of the checks below a tool must pass to stay on your list. Invite one of your reps to each demo to judge how well the AI buyer represents the people they sell to, and one of your managers to judge whether the scores and coaching match what they would give.

Ask the vendor

Does the vendor's roleplay product connect to the systems your team already uses?

“Can our reps sign in with our single sign-on? We'll list our customer relationship management (CRM) system, call recorder and learning management system (LMS): which do you connect to today? For each one, show us what your product receives from it and what your product sends to it.”

Does the vendor hold the security certifications you require and keep your recordings and transcripts out of model training?

“Which security certifications do you hold, and do you use our recordings or transcripts to train any model? Where are the recordings stored?”

Test it in the demo

Does the AI buyer accurately represent your buyers for as long as your real calls run?

Ask the vendor to set up one of your scenarios for the demo, then go off script, return to something said earlier, name a competitor, and note where the AI buyer stops sounding like your buyers. To test a full-length call, build the scenario yourself in a free trial or pilot and have an experienced manager play the rep.

Does an AI buyer built from your own playbook or messaging push back like your real buyers?

Before the demo, send the vendor a playbook or one page of your messaging, plus a short description of the buyer your reps sell to, and ask for an AI buyer built from them. In the demo, ask one of your reps how faithfully that buyer represents the people they sell to: does it push back the way those people do, or only repeat lines from your material?

Does the product score a roleplay the way your managers would, against your own criteria?

Before the demo, send the vendor your scoring criteria. In the demo, have one of your managers play the rep and make a mistake your criteria count as a fail, then ask that manager whether the score is the one they would give. In a free trial or pilot, compare the automated scores with your managers' ratings of the same recordings.

Does the product's guidance on a rep's latest roleplay match what your managers would coach next?

Ask the vendor to open a sample rep's latest practice roleplay from the manager's view, with its recording, criteria, score and feedback together, and ask one of your managers to rate the product's guidance on what to coach next: would they coach the same thing? With a manager login in a free trial or pilot, open a rep's latest roleplay yourself, without the vendor's help.

If the product builds practice from a rep's real calls, would that practice help the rep improve?

Ask to see one rep's real call and the practice the product built from it, then ask one of your managers how closely that practice targets what the rep missed, and how much it would help that rep improve.

Test it yourself

Does the feedback catch the rep's mistake and suggest the changes that your best managers would?

In a demo or a vendor's free practice roleplay, make one mistake on purpose, then rate the feedback: did it catch the mistake and quote you accurately, and are the changes it suggests ones your best managers would also suggest?

For Tangelo side by side with another roleplay product, see our comparisons of Tangelo with Hyperbound and with Second Nature.

How Tangelo scores on this page's AI roleplay evaluation checklist

These are our own descriptions of our product. In your demo, ask about anything not covered here.

The AI buyer pushes back and adapts

Tangelo's AI buyer “pushes back, asks real questions, and adapts in real time,”⁠³ and Tangelo scores each roleplay internally on how realistic it is.

Scenarios are built from your ideal customer profiles, playbooks and calls

Tangelo Roleplay builds its simulations from your ideal customer profiles, messaging, playbooks and call data, and the simulations “mirror real customer conversations.”⁠³ You can build custom scenarios or start from Tangelo's ready-made defaults for specific types of sales conversations.

Reps get a scorecard and coaching after each practice call

Tangelo scores the rep, and Tangelo's AI buyer “coaches them on exactly what to fix.”⁠³ Tangelo also coaches reps on their real calls⁠⁴.

Roleplays update each rep's scorecard and certification progress

Each Tangelo roleplay “feeds into scorecards, certifications, and coaching insights.”⁠³ Tangelo Onboarding also uses AI roleplays to assess each new hire's skills⁠⁵.

Managers see practice results and who needs attention

Tangelo's manager dashboard shows “calls scored, roleplays passed, certifications overdue,” with “the rep who needs attention already flagged.”⁠⁶

Tangelo assigns follow-up practice for each rep's skill gaps

Tangelo's AI finds skill gaps from real sales calls⁠⁷, and Tangelo Roleplay assigns each rep follow-up practice automatically, by skill gap⁠³.

Tangelo Roleplay works inside Tangelo's Learning Management System, or on its own

In Tangelo's Learning Management System, each rep's learning path includes roleplays alongside courses, videos and knowledge checks, and roleplays count toward badges and certifications⁠⁶.

A team that keeps its own learning management system can use Tangelo Roleplay as a standalone product.

Tangelo encrypts your data and never trains AI models on it

Tangelo has completed an independent System and Organization Controls (SOC) 2 Type II audit⁠⁷. “All data is encrypted at rest and in transit,” and each customer's data is kept separate from every other customer's⁠⁷. Tangelo customer data belongs to the customer alone, and Tangelo never trains AI models on it.

Customer example: roleplay practice at Justworks

Talia Babel Jones, Senior Manager, GTM Readiness, at Justworks, says reps retake roleplays to raise their scores: “Some people will take an AI roleplay 10 times until they perfect it.”⁠⁸

Frequently asked questions

Is AI roleplay good enough to train sales reps?

Yes, AI roleplay with a realistic buyer and accurate feedback is good enough to train sales reps: each rep can rehearse a hard conversation until they get it right, with feedback after every attempt, before trying it on a real buyer. Managers can then spend more of their time on the moments when their judgment can have a material positive effect, such as a disputed score, repeated difficulty with the same skill or an important customer conversation coming up.

At Tangelo customer Justworks, Talia Babel Jones says reps “practice back and forth with this bot that's challenging them. They come out way more confident and prepared.”⁠⁸

Test each product on a situation your reps often run into. The simulated buyer should stay realistic for a full call, the feedback should be accurate and the changes it suggests should actually improve the rep's next practice roleplay. Automated scores should agree with your managers' scores.

How do you know whether AI roleplay scoring is accurate?

To check whether AI roleplay scoring is accurate, compare the tool's scores with your managers' ratings of the same recordings.

Before a demo, send the vendor your scoring criteria. In the demo, have one of your managers play the rep and make a mistake your scoring criteria count as a fail, then ask that manager whether the score is the one they would give.

In a pilot, have two managers separately score a small sample of practice roleplay recordings with the same criteria, note how often their scores match, agree on a rating for each, and compare the automated scores with those ratings. Google Cloud gives similar advice for AI models that grade other AI output, not sales reps: compare the model's scores with human ratings⁠².

In a 2023 study of AI models judging chatbot answers, GPT-4 agreed with human raters over 80% of the time, about as often as the human raters agreed with each other, despite biases such as favoring longer answers⁠⁹. That study covers chatbot answers, not sales roleplays, so set your bar from your pilot: a tool's scores should match your managers' as often as two of your managers match each other.

Why not have reps roleplay with each other, or with ChatGPT?

Peer roleplay needs no extra software and works when someone experienced has time to play the buyer and give honest feedback.

Check whether your younger reps get that time: in Salesforce's 2026 State of Sales survey, Gen Z sales reps named lack of manager time as the top obstacle to enablement, and 47% said they don't get enough roleplay opportunities before customer calls⁠¹⁰.

A general-purpose AI assistant such as ChatGPT or Claude can play a buyer from a prompt you write, and if you save that prompt and your scoring criteria in a shared project, every rep can practice with them. Whether a manager can review that practice depends on the assistant: in a shared ChatGPT project, a manager in the project can read each rep's practice chats unless the rep deletes them; in a shared Claude project, each rep's chats stay private unless the rep shares them.

A dedicated roleplay product can show a manager every rep's scores in one place. Tangelo Roleplay also assigns each rep follow-up practice by skill gap⁠³.

What is the best AI platform for sales roleplay?

The best AI platform for sales roleplay is the one whose AI buyers most closely resemble the people your reps sell to and the conversations they have, whose feedback does the most to help each rep improve, and whose scores and coaching guidance come closest to your managers' judgment. To find it, ask each vendor to set up a demo roleplay of a call your reps find hard, and compare the results.

Then decide whether roleplay should come inside a wider platform, as Tangelo, Gong and Mindtickle offer, or from a product built around roleplay, as Hyperbound and Second Nature sell. A wider platform such as Tangelo's includes roleplay, training programs, delivery of sales content to reps, analysis of reps' sales calls and reporting.

About the author

Henry Edelson

Co-founder, Tangelo

Henry Edelson is a co-founder of Tangelo, which builds AI-native go-to-market enablement for teams at companies including HubSpot, Figma and Justworks.

Sources

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