Connor Wright
Growth at Yoodli
How Do You Use AI Roleplay for Product Launch Training?
September 22, 2026
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23 min read
You use AI roleplay for product launch training by turning your launch materials into realistic customer conversations that sales reps must practice before speaking with buyers. Start with the new product’s positioning, target personas, use cases, approved claims, competitive differentiation, objections, and demo story. Then create AI buyer scenarios that require reps to apply that information in discovery calls, pitches, demos, objections, and executive conversations. Score reps against launch-specific criteria, provide immediate feedback, and require targeted repetition or certification before the launch goes live.
Summary
- Use AI roleplay to test whether sellers can apply new product knowledge, not simply recall it.
- Ground roleplays in approved launch materials such as product briefs, messaging guides, decks, FAQs, battlecards, and case studies.
- Build different scenarios for the conversations sellers will actually have after launch.
- Practice across multiple buyer personas because the same product should be positioned differently to different stakeholders.
- Include realistic launch objections, especially around differentiation, pricing, implementation, security, and the status quo.
- Score observable seller behaviors such as messaging accuracy, discovery, differentiation, evidence use, objection handling, and next-step quality.
- Use a progression from learning to guided practice to independent practice to certification.
- Give sellers multiple attempts so they can apply feedback before customer conversations begin.
- Use readiness data to identify which messages, objections, or personas are creating difficulty across the sales organization.
- Update the roleplays as launch messaging changes and real customer reactions start coming in.
- Yoodli supports AI roleplays for product launches, including company-specific personas, objections, product demos, messaging, custom rubrics, and uploaded GTM materials.
A common mistake:
“Every rep completed product launch training.”
The real target:
“Every rep can have the customer conversations this launch requires.”
Why Product Launch Training Needs More Than Content
Most product launches generate a lot of information.
Sales teams may receive:
- Launch decks
- Product briefs
- Messaging guides
- Demo scripts
- FAQs
- Battlecards
- Customer stories
- Competitive positioning
- Pricing guidance
- Enablement webinars
All of that can be useful.
But access to information does not prove that a rep can use it with a customer.
A seller might correctly answer:
“What are the three primary value propositions?”
on a quiz.
Then a CFO asks:
“Why would I pay for this when we already have something similar?”
Now the rep has to decide which value proposition matters, explain it naturally, connect it to the customer’s circumstances, support it with evidence, and respond to skepticism.
That is a different skill.
Product launch readiness therefore has at least three layers:
Knowledge
Does the rep understand the new product?
Application
Can the rep use that knowledge in a realistic conversation?
Adaptation
Can the rep adjust the message when the buyer, objection, or situation changes?
AI roleplay is particularly useful for the second and third layers.
Yoodli’s AI sales training specifically includes practicing new messaging before product launches, alongside discovery conversations, objections, demos, and executive meetings.
Start With the Conversations the Launch Will Create
Do not begin by asking:
“What product information should reps memorize?”
Begin with:
“What conversations will reps need to handle after this product launches?”
For example, a launch may create conversations such as:
- Introducing the new product to an existing customer
- Pitching it to a new prospect
- Discovering whether a buyer has the problem it solves
- Demonstrating the new capability
- Explaining how it differs from the previous version
- Responding to a competitor comparison
- Handling pricing resistance
- Discussing implementation
- Answering executive questions
- Cross-selling the product into an existing account
Those conversations become your roleplay curriculum.
Instead of one generic “product launch roleplay,” build several scenarios around the moments that matter.
Step 1: Define What Sellers Need to Be Able to Do
Turn the launch strategy into observable seller behaviors.
Suppose the new product is an AI sales coaching platform.
A launch document might say:
“The platform delivers scalable, personalized practice for revenue teams.”
That is positioning.
The roleplay needs to determine whether the seller can use it.
For example:
Discovery
Can the rep determine whether the buyer has a coaching scalability problem?
Positioning
Can the rep explain the product in terms relevant to the buyer’s problem?
Differentiation
Can the rep explain why the approach differs from alternatives?
Evidence
Can the rep support important claims appropriately?
Objection Handling
Can the rep respond when the buyer questions whether another platform is necessary?
Next Step
Can the rep advance the conversation appropriately?
Those are behaviors you can practice and evaluate.
Step 2: Ground the AI in Your Launch Materials
Your AI roleplays should reflect the actual product launch.
Useful source material might include:
- Product launch brief
- Messaging framework
- Pitch deck
- Product documentation
- Demo materials
- FAQs
- Buyer personas
- Competitive battlecards
- Approved customer evidence
- Pricing information
- Implementation guidance
- Security documentation
- Sales methodology
Do not indiscriminately upload everything.
Use the materials relevant to the scenario.
For example, a competitive-objection roleplay might need:
- Competitive battlecard
- Messaging guide
- Persona
- Product brief
A technical demo scenario might instead need:
- Product documentation
- Demo guide
- Technical FAQs
- Technical buyer persona
The AI should receive enough context to make the roleplay accurate without being overwhelmed by irrelevant information.
Yoodli’s Roleplay Builder can use URLs such as product pages and case studies as background context, while Roleplay Agent can incorporate reference files into the roleplay-building process.
For a deeper content-grounding process, see Yoodli’s guide to AI sales training.
Step 3: Teach the Product Before Testing It
AI roleplay does not have to begin with a skeptical buyer.
For a completely new product, sellers may need to learn the material first.
A useful sequence is:
Learn → demonstrate understanding → practice → receive feedback → repeat
Yoodli currently supports Tutor-style roleplays where the AI teaches material and checks whether the learner understands it. Yoodli recommends using Tutor experiences before Standard roleplays when learners need to understand a concept, product change, capability deck, or framework. Then they can apply it against an AI counterpart.
For example, a product-launch tutor could:
- Explain the new product’s three core capabilities.
- Ask the rep to restate them in their own words.
- Correct misunderstandings.
- Present the target use cases.
- Ask the rep which use case fits a sample customer.
- Check comprehension before moving on.
Then the seller moves into a buyer roleplay.
This avoids asking sellers to practice material they do not yet understand.
Step 4: Turn the Launch Deck Into Practice
Launch decks are usually designed to communicate information.
Roleplays should turn that information into decisions.
Imagine a slide says:
Target customer: Enterprise organizations with distributed sales teams and inconsistent coaching.
Do not merely quiz:
“Who is the target customer?”
Create a buyer.
For example:
You are the VP of Sales at a 2,000-person software company. You have 180 sellers across North America and EMEA. Frontline managers run coaching differently across regions, but you are not convinced inconsistency is causing a meaningful performance problem.
Now the rep has to determine whether this buyer actually fits the use case.
Similarly, if the launch deck says:
Primary differentiator: Deployment requires substantially less administrative work.
Create a buyer who says:
“Every vendor tells me implementation is easy. Why should I believe this will be different?”
Now the seller has to communicate differentiation under pressure.
That is how static launch content becomes experiential learning.
Yoodli introduced auto-generated learning content in June 2026 that can transform existing decks, documents, and playbooks into structured learning content integrated with its roleplay experience. Yoodli specifically describes product launches as a use case for turning a new product brief into training and practice quickly.
Step 5: Build Multiple Buyer Personas
A product should rarely be pitched identically to every stakeholder.
Imagine your product is relevant to:
- CFO
- VP of Sales
- Sales Enablement
- IT
- Procurement
Each buyer may care about something different.
CFO
Possible priorities:
- ROI
- Cost
- Efficiency
- Risk
VP of Sales
Possible priorities:
- Revenue performance
- Rep productivity
- Manager capacity
- Adoption
Sales Enablement
Possible priorities:
- Training consistency
- Readiness
- Content management
- Administration
IT
Possible priorities:
- Security
- Integration
- Data
- Deployment
Procurement
Possible priorities:
- Price
- Contract terms
- Vendor risk
- Alternatives
The underlying product remains the same.
The seller has to change the conversation.
That makes persona variation an important part of product launch practice.
Yoodli’s AI Roleplays can reflect organization-specific personas, objections, and pressure, while multi-persona roleplays can recreate conversations involving more than one stakeholder.
Step 6: Build Launch-Specific Objections
Every product launch creates uncertainty.
Build that uncertainty into the practice.
Common launch objections might include:
“Why do we need this?”
The buyer does not see enough difference from their existing process.
“Can’t our current platform already do that?”
The rep must differentiate accurately.
“This sounds like a feature, not a product.”
The rep must establish enough value to justify the positioning.
“Why should we switch?”
The buyer sees migration risk.
“This is too new.”
The buyer worries about maturity.
“How do I know this will work?”
The buyer wants evidence.
“Why does this cost extra?”
The buyer does not understand incremental value.
“We don’t have resources to implement this.”
The buyer sees change-management risk.
“Your competitor already offers this.”
The rep needs to handle a competitive comparison.
Do not create one perfect scripted response.
Give the buyer a reason for the objection and evaluate whether the rep understands it.
For example:
You are not primarily concerned about price. You are concerned that implementation will consume the enablement team’s limited capacity. If the rep immediately offers a discount, continue pushing back. If the rep asks about implementation concerns, explain the resource constraint.
Now the seller must diagnose rather than recite.
Step 7: Make the AI Buyer Withhold Information
Product launch roleplays become too easy when the AI buyer explains exactly why the product matters.
Suppose the launch targets companies struggling with new-hire ramp.
Do not have the buyer say:
“Our ramp time increased from three to six months, and we desperately need your new product.”
Instead:
“Onboarding could definitely be better.”
The rep should need to discover:
- How onboarding works today
- What has changed
- How large the problem is
- Who is affected
- Whether solving it matters now
Only then should the seller position the new product.
This prevents product-launch training from becoming:
Hear problem → recite launch pitch
and turns it into:
Understand buyer → determine fit → position appropriately
Step 8: Practice the New Pitch
A product launch often introduces new messaging.
Give sellers repeated opportunities to explain it.
But do not require one memorized script unless exact language is necessary.
A good rubric might evaluate:
Accuracy
Did the rep describe the product correctly?
Relevance
Did the rep connect it to the buyer’s priorities?
Differentiation
Did the rep explain what makes the approach distinct?
Clarity
Could the buyer understand the message?
Concision
Did the rep avoid turning the answer into a five-minute product monologue?
Evidence
Did the rep support important claims appropriately?
Yoodli’s AI feedback can combine organization-specific rubric criteria with communication feedback such as clarity, pacing, structure, and delivery.
That matters because a technically correct pitch can still be ineffective if it is confusing or excessively long.
Step 9: Practice Product Demos
If the launch requires a demo, practice the demo itself.
Do not limit training to verbal messaging.
A rep may need to:
- Share their screen
- Navigate the new workflow
- Explain what the buyer is seeing
- Connect functionality to business value
- Answer questions without losing the narrative
- Recover when the buyer interrupts
Yoodli supports learner screen sharing during practice, including scenarios where someone walks through presentation material or a live demo. The AI can see and respond to what the learner shares.
A demo roleplay could instruct the buyer:
You are interested in the product but impatient with feature-heavy demos. Interrupt when the seller spends too long explaining functionality that does not relate to your stated priorities.
Now the rep has to demonstrate the product for the buyer, not simply complete the demo script.
Step 10: Practice Competitive Positioning
Product launches frequently change the competitive story.
Build scenarios around the competitors sellers will encounter.
For example:
You currently use Competitor A and believe its new feature already solves this problem. You will not consider switching unless the rep can establish a meaningful difference relevant to your organization.
Evaluate whether the seller:
- Understands why the buyer prefers the competitor
- Avoids inaccurate claims
- Explains approved differentiation
- Connects differentiation to the buyer’s situation
- Uses appropriate evidence
- Avoids attacking the competitor unnecessarily
Competitive roleplays are particularly useful when the launch changes a previously familiar market position.
Reps need practice updating old habits.
Step 11: Practice Existing-Customer Conversations
Product launch training should not focus only on new business.
Existing customers may ask:
- Why was this not included before?
- Is this part of my current contract?
- Does this replace another feature?
- Do I have to migrate?
- What happens to my current workflow?
- Why does this cost more?
- When will it be available?
- Should my team switch immediately?
Create expansion, renewal, and customer-success scenarios when relevant.
The best product-launch practice mirrors the actual GTM motion.
Step 12: Practice Executive Conversations
A seller may understand the product perfectly and still struggle when an executive asks:
“Why should I care?”
Create a short executive scenario.
Give the seller five minutes.
The executive persona should:
- Have limited patience
- Care about business impact
- Interrupt excessive product detail
- Challenge unsupported ROI
- Ask why the initiative matters now
Evaluate:
- Business relevance
- Concision
- Executive-level communication
- Evidence
- Strategic value
- Next step
This tests whether the rep can elevate launch messaging beyond the product.
Step 13: Use Multi-Persona Roleplay for Buying Committees
Some launches require several stakeholders to understand and approve the product.
A roleplay could include:
VP of Sales
Wants better performance.
IT leader
Worries about integration and security.
CFO
Questions incremental spend.
The rep now has to:
- Tailor responses
- Manage competing priorities
- Decide how much detail each stakeholder needs
- Handle disagreement
- Keep the meeting moving
This is much closer to enterprise selling than practicing the same pitch repeatedly against one friendly buyer.
Yoodli supports multi-persona roleplays specifically for situations such as buying committees, where multiple AI stakeholders can participate in the conversation.
Step 14: Build a Launch-Specific Scorecard
Avoid using only generic communication scores.
Create criteria specifically for the launch.
For example:
| Criterion | What good performance looks like |
| Product accuracy | Explains the new product without incorrect or unsupported claims |
| Discovery | Determines whether the buyer has a relevant problem |
| Positioning | Connects the product to the buyer’s priorities |
| Differentiation | Explains approved competitive differences accurately |
| Evidence | Uses relevant proof without promising identical outcomes |
| Objection handling | Understands and addresses the buyer’s underlying concern |
| Demo execution | Shows relevant functionality without feature dumping |
| Methodology | Applies the company’s sales framework appropriately |
| Next step | Establishes a logical action based on buyer interest |
The exact rubric should reflect your launch.
Do not score criteria simply because your platform can measure them.
Step 15: Decide What Sellers Must Know Exactly
Not every part of launch messaging requires identical wording.
Separate content into categories.
Must Be Exact
Examples might include:
- Regulatory statements
- Legal disclaimers
- Approved pricing
- Product names
- Technical claims
- Compliance language
Must Be Accurate
Examples:
- Product capabilities
- Differentiation
- Implementation
- Customer evidence
Sellers can use their own words but must preserve the meaning.
Can Be Personalized
Examples:
- Opening
- Discovery questions
- Value explanation
- Storytelling
- Transition
- Next-step language
This prevents AI scoring from accidentally rewarding robotic memorization.
Step 16: Create a Launch Readiness Program
Individual roleplays are useful.
A structured sequence is better.
For example:
Stage 1: Learn
Rep reviews the new product and messaging.
Stage 2: Demonstrate Knowledge
AI tutor checks whether the rep understands the important concepts.
Stage 3: Practice the Pitch
Rep explains the product to a cooperative buyer.
Stage 4: Practice Discovery
Rep determines whether a buyer actually needs it.
Stage 5: Handle Objections
Buyer challenges differentiation, value, or implementation.
Stage 6: Demo
Rep presents the new capability.
Stage 7: Advanced Scenario
Rep handles a skeptical executive or buying committee.
Stage 8: Certification
Rep completes a standardized roleplay against the launch rubric.
This creates progression.
Learn → practice → pressure-test → certify
rather than:
Attend webinar → take quiz → sell
Step 17: Require Repetition Before Certification
One successful attempt does not necessarily indicate fluency.
Give reps opportunities to fail privately.
Suppose the first attempt reveals:
The rep explains the product accurately but struggles to differentiate it from the incumbent.
Their next practice objective becomes:
Establish why the buyer uses the incumbent and connect the new product’s differentiation to that specific concern.
Then repeat.
This is where AI roleplay can reduce dependence on manager availability.
Reps can practice repeatedly without scheduling another person for every attempt. Yoodli describes its roleplay model as targeted repetition with immediate feedback rather than one-time training.
Step 18: Certify Readiness Before Customer Conversations
For high-stakes launches, define a readiness threshold.
Certification might require:
- Completion of required scenarios
- Minimum rubric score
- Demonstrated messaging accuracy
- No critical product inaccuracies
- Successful objection handling
- Manager approval for selected roles
Do not use certification simply to create another completion metric.
The question should be:
What evidence would make us comfortable putting this rep in front of a customer tomorrow?
That should determine the standard.
Step 19: Use Aggregate Data to Improve the Launch
AI roleplay data can reveal more than individual rep readiness.
Look across the organization.
Suppose:
- 82% of reps explain the product accurately.
- 74% handle the main objection successfully.
- 41% explain differentiation effectively.
- 32% succeed with the CFO persona.
That suggests a launch problem.
Maybe the differentiation is unclear.
Maybe the CFO narrative is weak.
Maybe the training material needs improvement.
Maybe the rubric is unrealistic.
The roleplay program can therefore become a feedback mechanism for enablement and product marketing.
Instead of only asking:
“Which reps are struggling?”
ask:
“What is the organization struggling to communicate?”
That can improve the launch itself.
Step 20: Update Roleplays After the Product Launches
Pre-launch training is based partly on predictions.
After launch, you start getting real evidence.
Sales calls reveal:
- Unexpected objections
- New competitor comparisons
- Confusing messaging
- Buyer questions
- Implementation concerns
- Stronger use cases
- Weak proof points
- New stakeholders
Use those insights to update the roleplays.
For example:
Before launch
Product marketing predicts that price will be the main objection.
After launch
Call reviews reveal that buyers care more about implementation risk.
Update the roleplay.
The AI roleplay library should evolve with the market.
Product launch training is not finished on launch day.
Use AI Roleplay for Product Updates Too
The same framework applies to smaller releases.
Not every launch requires a massive certification program.
For a meaningful product update, you might create:
- Five-minute AI tutor session.
- Ten-minute customer conversation.
- One objection.
- Short feedback report.
That makes ongoing reinforcement more practical.
Sales teams can practice continuously as products evolve rather than waiting for the next annual kickoff.
Example Product Launch AI Roleplay
Here is a simplified example.
Product
New AI-powered analytics capability.
Learner
Enterprise account executive.
Buyer
CFO at a 3,000-person SaaS company.
Buyer Context
The company is under pressure to improve operating efficiency.
Buyer Belief
The organization already owns too many analytics tools.
Hidden Information
Finance and revenue operations currently produce conflicting forecasts.
The buyer should reveal this only if the rep explores the current process.
Objection
“Why would we buy another analytics product?”
Buyer Behavior
If the rep immediately describes features, become more skeptical.
If the rep explores the current process and uncovers the forecasting problem, provide more detail.
If the rep accurately connects the new capability to that problem, ask about implementation.
Seller Objectives
- Conduct relevant discovery
- Position the new product accurately
- Explain differentiation
- Avoid unsupported ROI claims
- Address the objection
- Establish a next step
Scoring
- Discovery: 20%
- Product accuracy: 20%
- Positioning: 20%
- Differentiation: 15%
- Objection handling: 15%
- Next step: 10%
That is a much stronger readiness test than:
“Give me the new product pitch.”
Example Product Launch Roleplay Prompt
A builder prompt could look like this:
Create a 15-minute product launch roleplay for enterprise account executives.
The learner is introducing our newly launched product to a VP of Sales at a 1,500-person B2B SaaS company.
Use the attached product brief as the source of truth for product capabilities. Use the messaging guide for approved positioning and the competitive battlecard for differentiation.
The buyer currently uses a competing solution and does not believe another product is necessary.
Do not reveal the buyer’s primary operational problem unless the learner asks relevant discovery questions.
If the learner starts pitching before understanding the buyer’s current situation, become more skeptical.
If the learner demonstrates an understanding of the buyer’s problem and explains the product accurately, become more receptive.
Raise one competitive objection and one implementation objection during the conversation.
Evaluate the learner on discovery, product accuracy, positioning, differentiation, objection handling, and next-step quality.
Do not reward exact memorization of the messaging guide. Reward accurate communication of the intended message in language appropriate to the buyer.
That gives the AI:
- Product truth
- Messaging
- Persona
- Context
- Hidden information
- Objections
- Behavioral rules
- Scoring criteria
Common Product Launch Training Mistakes
Training Only Product Knowledge
Knowing what the product does is not enough.
Reps need to practice using that knowledge with customers.
Using One Generic Roleplay
Different buyers create different conversations.
Vary personas, objections, and sales stages.
Making the Buyer Too Cooperative
The seller should need to discover relevance.
Requiring Script Memorization
Unless exact language is necessary, evaluate meaning and execution.
Ignoring Existing Customers
Launch conversations may involve cross-sell, expansion, renewal, and customer success.
Practicing Only the Pitch
Practice discovery, demos, objections, competition, and executive conversations too.
Treating the First Attempt as Certification
Allow practice before assessment.
Leaving Roleplays Unchanged After Launch
Real customer conversations should continuously improve the roleplays.
Measuring Completion Instead of Readiness
A completed course tells you someone encountered the material.
It does not tell you whether they can sell it.
How Yoodli Can Support Product Launch Training
Yoodli’s sales and GTM enablement capabilities are designed around practicing customer conversations before sellers have them live.
Yoodli currently describes product-launch enablement as a core sales use case. Teams can upload GTM materials, scripts, and battlecards and use AI to reinforce consistent messaging across sales and other GTM teams.
With AI Roleplays, teams can build roleplays around:
- New product pitches
- Discovery
- Product demos
- Competitive objections
- Executive conversations
- Buyer personas
- Multi-stakeholder meetings
Roleplay Agent can generate a draft containing the scenario context, personas, objections, rubric goals, and reference files from a description of what sellers need to practice.
For launches where reps first need to learn new material, Yoodli’s Tutor format can teach product information and check understanding before the seller advances to buyer practice.
Yoodli’s auto-generated learning content can also turn existing product briefs, decks, documents, and playbooks into structured learning content. Yoodli specifically gives the example of an enablement manager uploading a new product brief and generating a learning experience. Reps can then begin practicing the new pitch during launch week.
That enables a launch workflow such as:
Launch materials → learning → AI roleplay → feedback → repetition → certification → customer conversation
The important shift is from distributing information to demonstrating readiness.
Make Readiness the Product Launch Metric
A launch is not sales-ready because the enablement webinar happened.
It is not sales-ready because everyone opened the deck.
It is not even sales-ready because everyone passed a knowledge quiz.
The more meaningful question is:
Can our sellers explain, position, demonstrate, and defend this product in the customer conversations they are about to have?
AI roleplay gives teams a way to test that question before launch.
Give sellers the product knowledge.
Then make them use it.
Give them realistic buyers.
Make those buyers skeptical.
Introduce the objections customers are likely to raise.
Score the behaviors the launch requires.
Let reps practice again.
Then certify them when they can demonstrate readiness.
After launch, use real customer reactions to make the roleplays harder and more accurate.
That creates a continuous loop:
Learn → practice → certify → sell → learn from customers → update practice
The result is a product launch program built around execution rather than attendance.
FAQ
How far before a product launch should AI roleplay training begin?
Begin early enough for sellers to learn the material, practice it, receive feedback, and correct weaknesses before customer-facing messaging goes live. The appropriate lead time depends on product complexity, seller population, and certification requirements. A minor feature update may require a short practice cycle, while a major product launch may require several stages of learning and certification.
Should every rep complete the same product launch roleplays?
Core scenarios can be standardized when every seller needs the same baseline knowledge, but additional roleplays should reflect responsibilities. SDRs may need opening and qualification scenarios, AEs may need discovery and demos, while account managers or CSMs may need customer-update and expansion conversations.
Should product marketing review AI roleplays before launch?
Usually, yes. Product marketing can validate positioning, differentiation, personas, proof points, and competitive messaging. Sales enablement can then validate the learning design, rubric, difficulty, and certification process. Product, legal, security, or other subject-matter experts may also need to review scenarios containing specialized claims.
What happens if launch messaging changes after reps have already practiced?
Update the source content and affected scenarios, identify which previously completed training is materially outdated, and determine whether sellers need a short refresher or recertification. This is one reason roleplays should rely on clearly governed sources rather than copied messaging scattered across many exercises.
Should sales leaders see individual product launch roleplay scores?
That depends on the purpose of the exercise. Private developmental practice can encourage experimentation, while certification may require manager visibility. Organizations should tell sellers in advance how performance data will be used and distinguish low-stakes practice from formal readiness assessment.
Can channel partners use the same AI product launch training?
Yes, although partner scenarios may require different context. Partners may need additional company positioning, product knowledge, qualification guidance, or rules about what they can claim. Their roleplays should reflect the conversations partners actually have rather than simply copying the internal sales program.
Should launch certification expire?
It can when the product or messaging changes materially. A permanent certification may provide little evidence of current readiness if capabilities, positioning, competitors, or required claims have changed significantly since the seller completed it.
What should you do if most sellers fail the same product launch roleplay criterion?
Investigate the training system before assuming the entire sales team is the problem. A widespread weakness may indicate unclear messaging, insufficient learning content, an unrealistic rubric, a difficult scenario, or a genuine skill gap. Aggregate roleplay results can therefore help enablement and product marketing identify launch issues as well as individual coaching needs.
References
- Yoodli: AI Roleplays
- Yoodli: AI Sales Training
- Yoodli: Sales and GTM Enablement
- Yoodli: AI Feedback
- Yoodli Help Center: Create Roleplays With Roleplay Agent
- Yoodli Help Center: Building a Tutor Roleplay
- Yoodli Help Center: How to Build and Customize Roleplays
- Yoodli Help Center: Practice With Yoodli
- Yoodli: Auto-Generated Learning Content
- Yoodli: Auto-Generated Learning Content Announcement
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