VISA
CEMEA Case Study Builder
Four prompts to build your Yoodli AI roleplay simulation. Fill in your inputs, copy the prompt, and paste it into Copilot or ChatGPT.
Do not include real client names, confidential deal details, or sensitive commercial information in any prompt.
Create the Yoodli Simulation Brief
Fill in the five fields below, then copy the full prompt into Copilot or ChatGPT. The AI will do the heavy lifting — inferring market context, stakeholder dynamics, and conversation design from your inputs. Output must be under 5,000 characters for Yoodli.
Your inputs — fill these in before copying
1. Roleplay type
A. Pure discovery only | B. Discovery first, then recommendation | C. Multi-party pitch | D. Internal alignment
A. Pure discovery only | B. Discovery first, then recommendation | C. Multi-party pitch | D. Internal alignment
2. Who is the Visa seller?
Your role, market/region, and specialization — e.g. "VAS specialist, UAE" or "Generalist AE, East Africa"
Your role, market/region, and specialization — e.g. "VAS specialist, UAE" or "Generalist AE, East Africa"
3. Client — type, market, and situation
e.g. "Mid-size commercial bank in Nigeria trying to reduce cross-border payment leakage to mobile money" — anonymize any real client name
e.g. "Mid-size commercial bank in Nigeria trying to reduce cross-border payment leakage to mobile money" — anonymize any real client name
4. Scenario setting
e.g. Airport lounge, post-QBR coffee, formal discovery meeting, summit networking break, executive workshop
e.g. Airport lounge, post-QBR coffee, formal discovery meeting, summit networking break, executive workshop
5. Potential Visa solution area (optional)
e.g. Visa Direct, CyberSource, Featurespace, CurrencyCloud, VCAS, commercial solutions, tokenization — leave blank if you want the AI to infer it
e.g. Visa Direct, CyberSource, Featurespace, CurrencyCloud, VCAS, commercial solutions, tokenization — leave blank if you want the AI to infer it
Prompt to copy into Copilot or ChatGPT
I am creating a custom AI roleplay simulation for a Visa CEMEA sales boot camp. Please turn the information below into a realistic, Yoodli-ready simulation brief.
The final output must be no more than 5,000 characters including spaces. Be concise. Prioritize roleplay usability over beautiful prose. Do not include long explanations, theory, or facilitator notes. Write only what the AI roleplayer needs to run the simulation well.
You are expected to do significant inference and creative work from the inputs provided. If a field is sparse, use your knowledge of the Visa CEMEA market, payments industry dynamics, and senior executive behavior to fill in realistic detail. Do not ask for more information — make intelligent assumptions and state them briefly.
The simulation should feel like a real client conversation in the payments, banking, fintech, merchant acquiring, money movement, risk, commercial solutions, issuing, VAS, or acceptance space.
Important parameters:
• Infer a realistic client organization name (fictional/anonymized) from the market and client type provided.
• Infer likely client concerns, internal stakeholders, and competitive pressures from the market context — do not ask the participant to list them.
• Infer the most relevant Visa solution area if not specified.
• Test consultative selling, discovery, empathy, business diagnosis, and product-to-pain translation.
• Do not let the seller pitch too early.
• The seller may be working toward a solution area, but the first part must be discovery-led.
• If the scenario is multi-party, infer realistic additional stakeholders and their different priorities.
• Match the roleplay type selected.
• If "pure discovery only," do not include pitch instructions.
• If the roleplay includes recommendation or pitch, ensure the seller earns the right to recommend through discovery first.
Include specific AI behavior instructions:
• What the client says at the start.
• What the client reveals immediately.
• What the client only reveals after strong discovery.
• What makes the client open up.
• What makes the client push back.
• What the client says if the seller pitches too early.
• What the client says if the seller summarizes well.
• What the client says if the seller asks a weak or generic question.
• What a strong ending should sound like.
Participant inputs:
[PASTE YOUR INPUTS HERE — use the numbered fields above]
Now create the final simulation brief with these sections:
• Case title
• Purpose
• Setting
• AI client role
• Client organization context
• Opening line for the AI client
• What the client is really thinking
• Surface-level issue
• Hidden priorities to reveal gradually
• Conversation rules for the AI
• Strong discovery areas
• Trap moments or pushbacks
• Ideal seller close
• Evaluation focus
Before finalizing, check:
1. Is the client anonymized?
2. Is the business tension clear and specific to this market?
3. Is the scenario realistic for Visa CEMEA?
4. Is the seller forced to discover before pitching?
5. Is there enough pushback to make the simulation challenging?
6. Are the objections grounded in real market dynamics?
7. Does the case avoid confidential information?
8. Is the potential Visa solution area present but not over-pitched?
9. Could an AI roleplayer use this to behave like a real senior client?
10. Is the final brief under 5,000 characters including spaces?
⚠️ The output from this prompt must be under 5,000 characters including spaces before uploading to Yoodli.
Copied to clipboard ✓
Create the Client Persona
Paste your Step 1 simulation brief output here, then add two quick inputs. The AI will build a full behavioral persona from your case — no need to re-enter what you've already described.
Your inputs — fill these in before copying
1. Paste your Step 1 output here
Copy the full simulation brief generated in Step 1 and paste it in the prompt below where indicated.
Copy the full simulation brief generated in Step 1 and paste it in the prompt below where indicated.
2. Client title / seniority
e.g. CFO, Head of Payments, Chief Risk Officer, Group Head of Digital — or leave blank and the AI will infer from the case
e.g. CFO, Head of Payments, Chief Risk Officer, Group Head of Digital — or leave blank and the AI will infer from the case
3. One personality trait (optional)
e.g. Skeptical and data-driven / Warm but politically cautious / Impatient and commercially aggressive — or leave blank
e.g. Skeptical and data-driven / Warm but politically cautious / Impatient and commercially aggressive — or leave blank
Prompt to copy into Copilot or ChatGPT
I have already created a Yoodli simulation brief for a Visa CEMEA sales roleplay. I now need you to build a detailed behavioral client persona for the AI to use in that simulation.
The persona must be behaviorally useful — not just a description of who the person is, but how they act in conversation. Explain what earns their trust, what triggers resistance, what they reveal only when asked, and how they react to premature pitching.
You are expected to infer realistic detail from the simulation brief. Use your knowledge of senior banking, fintech, and payments executives in the CEMEA region to fill in any gaps. Do not ask for more information — make intelligent assumptions and state them briefly.
Do not use real names or confidential information. Create a fictional but realistic persona.
Here is my simulation brief:
[PASTE YOUR STEP 1 OUTPUT HERE]
Additional inputs (optional):
Client title / seniority: [e.g. CFO / Head of Payments / leave blank to infer]
Personality trait: [e.g. Skeptical and data-driven / leave blank to infer]
Now create the persona with this format:
Client persona: [Fictional Name, Title, Organization]
1. Career background:
2. Current business priority:
3. Personal success metric:
4. Core anxiety:
5. Decision style:
6. Communication style:
7. Internal political reality:
8. View of Visa:
9. What earns their trust:
10. What makes them shut down:
Then add:
• 3 phrases this client might say in the first 5 minutes.
• 3 things they would never say directly but are probably thinking.
• 3 specific AI behaviors that will make this roleplay feel like a real senior client conversation.
Copied to clipboard ✓
Create the Objection Library
Paste your Step 1 and Step 2 outputs. The AI will generate a full objection library from your case and persona — no additional inputs needed.
What to paste in
1. Your Step 1 output
The full Yoodli simulation brief generated in Step 1.
The full Yoodli simulation brief generated in Step 1.
2. Your Step 2 output
The full client persona generated in Step 2.
The full client persona generated in Step 2.
Prompt to copy into Copilot or ChatGPT
I have already created a Yoodli simulation brief and a client persona for a Visa CEMEA sales roleplay. I now need you to generate a comprehensive objection library for this simulation.
The objections must be grounded in the specific client, market, and business context already established in the brief and persona. Do not generate generic sales objections. Every objection should feel like something this specific client, in this specific market, would actually say.
Use your knowledge of the Visa CEMEA market, payments industry dynamics, local rails, regulatory environments, and senior executive behavior to make the objections as realistic as possible. Infer competitive pressures, internal stakeholder concerns, and market-specific risks from the context provided.
Do not use confidential information. Keep the client and organization anonymized.
Here is my simulation brief:
[PASTE YOUR STEP 1 OUTPUT HERE]
Here is my client persona:
[PASTE YOUR STEP 2 OUTPUT HERE]
Now create:
A. Top 10 objections or pushbacks
For each objection include:
1. The exact client line — make it sound like a real senior executive, not a training exercise.
2. What the objection really means underneath.
3. What a weak seller would do.
4. What a strong seller should do instead.
5. Whether this is mainly about: price, risk, trust, implementation, politics, local market fit, urgency, or proof.
Include at least:
• One CFO-style objection.
• One CTO-style objection.
• One Risk or Compliance objection.
• One local market or domestic alternative objection.
• One competitor or "we already have a solution" objection.
• One "no decision" or stall objection.
• One internal politics objection.
• One objection triggered by premature pitching.
B. Three "nuclear" objections
The hardest pushbacks this seller might face. Include what makes each one so difficult and what a world-class seller would do.
C. Three things the client would never say out loud but is probably thinking.
Copied to clipboard ✓
Create the Background Research Pack
Paste your Step 1 and Step 2 outputs. The AI will conduct its own market research using publicly available information, then anonymize and fictionalize the output for Yoodli. No additional inputs needed.
What to paste in
1. Your Step 1 output
The full Yoodli simulation brief generated in Step 1.
The full Yoodli simulation brief generated in Step 1.
2. Your Step 2 output
The full client persona generated in Step 2.
The full client persona generated in Step 2.
Prompt to copy into Copilot or ChatGPT
I have already created a Yoodli simulation brief and a client persona for a Visa CEMEA sales roleplay. I now need you to create a rich background research document that can be uploaded into Yoodli as context for the AI client.
You are expected to conduct real market research using publicly available information about this market, client segment, and payments landscape. Use what you know about real banks, fintechs, regulators, domestic payment schemes, mobile money operators, and competitive dynamics in this region. Then anonymize and fictionalize the output so it cannot be traced back to any specific real client.
Important:
• You may research and reference real market dynamics, real regulators, real domestic schemes, real fintech players, and real competitive pressures — this is encouraged.
• Do not include confidential client information or real deal details.
• Create a fictional client name and organization — do not use a real institution's name as the client.
• Label specific facts as "public market context" where relevant.
• Write this as background for the AI roleplayer, not as a sales pitch or client intelligence report.
• Separate public market context from fictionalized roleplay assumptions clearly.
• The document should be detailed and rich — this is what makes the AI client sound credible.
Here is my simulation brief:
[PASTE YOUR STEP 1 OUTPUT HERE]
Here is my client persona:
[PASTE YOUR STEP 2 OUTPUT HERE]
Now create a background research document with these sections:
1. Executive summary of the market context.
2. Public market context — what is publicly known about this market and client segment.
3. Fictionalized client profile — the anonymized organization and its situation.
4. What this client likely cares about commercially.
5. Payments landscape in this market — real dynamics, real players, real tensions.
6. Local rails, mobile money, fintech, or domestic scheme dynamics.
7. Competitive pressures — who is competing with Visa and how.
8. Regulatory or public-policy considerations.
9. Customer behavior and adoption patterns.
10. Operational and technology constraints typical for this type of organization.
11. Internal stakeholder map — who matters inside this client and why.
12. Likely business tensions the AI client is navigating.
13. Potential Visa-relevant solution areas, described in business language rather than product-pitch language.
14. What the AI client should know but not reveal immediately.
15. Strong lines the AI client can use during the simulation.
16. Pushback library — market-specific objections grounded in real dynamics.
17. Guardrails: what the AI should avoid saying or inventing.
End with this note:
"This is fictionalized background for roleplay training. It is based on publicly available market information and should not be treated as confidential client intelligence or external market advice."
Copied to clipboard ✓
Before submitting — check all 10
Is the client anonymized?
Is the scenario realistic?
Is the client's business tension clear?
Are the hidden concerns specific?
Is the seller forced to discover before pitching?
Is there enough pushback to make the simulation challenging?
Are the objections realistic for the market?
Does the case avoid confidential information?
Is the potential Visa solution area present but not over-pitched?
Could an AI roleplayer use this to behave like a real senior client?