Creating Scenarios
Learn how to design and build custom conversation scenarios in Talk Buddy. This guide covers the complete process from initial concept to testing your finished scenario.
Before You Start
Planning Your Scenario
Define Your Learning Goals
Ask yourself:
- What skill do you want to practice? (interviewing, customer service, presentations)
- Who is your target learner? (students, professionals, language learners)
- What real situation does this simulate? (job interview, client meeting, academic discussion)
Choose Your Context
- Professional: Business meetings, interviews, customer service
- Academic: Presentations, discussions, office hours
- Social: Networking, casual conversations, cultural exchange
- Technical: Code reviews, system explanations, troubleshooting
Select Difficulty Level
- Beginner: Structured, supportive, predictable
- Intermediate: Some complexity, problem-solving required
- Advanced: Multi-layered, challenging, expert-level content
Step-by-Step Creation Process
Step 1: Access the Scenario Builder
- Open Talk Buddy
- Click “Scenarios” in the sidebar
- Click “Create New Scenario” or the “+” button
- Choose “Create from Scratch” (vs. importing)
Scenario Details
Fill out the essential information:
Name (Required)
- Keep it descriptive but concise (max ~50 characters)
- Include context and difficulty hint when helpful
- Examples: “Job Interview - Marketing Manager”, “Customer Service - Product Return”
Description (Required)
- 1-2 sentences explaining what the learner will practice
- Mention the context and learning objectives
- Example: “Practice explaining technical concepts to non-technical stakeholders in a client presentation setting.”
Category (Optional but Recommended)
- Choose from existing categories or create new ones
- Helps organize and filter scenarios
- Common categories: Business, Academic, Technology, Customer Service, Medical
Difficulty Level (Required)
- Beginner: New to this type of communication
- Intermediate: Some experience, ready for complexity
- Advanced: Experienced, can handle challenging situations
Estimated Duration (Required)
- Be realistic: most scenarios are 8-15 minutes
- Consider complexity and typical conversation length
- Users can end early or continue longer if needed
Step 3: AI Character Design
System Prompt (The Heart of Your Scenario)
This defines how the AI behaves. Include:
Character Role and Context
Example: "You are a senior marketing director interviewing candidates for a Marketing Manager position at a growing tech company."
Personality and Approach
Example: "Be professional but friendly. Show genuine interest in the candidate's experience and ask follow-up questions that probe for specific examples and strategic thinking."
Conversation Goals
Example: "Focus on marketing strategy experience, team leadership skills, and campaign results. The interview should cover 4-5 main topics over 10-15 minutes."
Behavioral Guidelines
Example: "If the candidate seems nervous, be encouraging. If they give vague answers, ask for specific examples. Maintain a professional but welcoming tone throughout."
Complete System Prompt Example
You are a senior marketing director interviewing candidates for a Marketing Manager position at a growing tech company. Be professional but friendly, showing genuine interest in the candidate's experience. Ask follow-up questions that probe for specific examples of past successes and strategic thinking.
Focus on their marketing strategy experience, team leadership skills, and measurable campaign results. If the candidate seems nervous, be encouraging. If they give vague answers, ask for specific examples and quantifiable outcomes. The interview should naturally cover 4-5 main topics over 10-15 minutes. Conclude when you feel you have a good understanding of their capabilities.
Step 4: Initial Message
Crafting the Opening
The initial message should:
- Set the scene immediately
- Establish the AI’s character
- Create clear context for the learner
- Invite natural response
Examples by Context
Professional Interview
"Good morning! Thank you for your interest in our Marketing Manager position. I've reviewed your resume and I'm excited to learn more about your background. Could you start by telling me what draws you to this role and our company?"
Customer Service
"Hi, I need help with returning a product I ordered last week. It's not what I expected and I'd like to get a refund or exchange. Can you help me with that?"
Academic Discussion
"Thanks for staying after class to discuss your research proposal. You've chosen an interesting topic, but I think we need to talk about narrowing the scope to make it manageable for a semester project. What specific aspect interests you most?"
Technical Explanation
"I appreciate you taking time to explain this new system implementation. As someone from the business side, I need to understand how this will affect our daily operations and what training my team will need. Can you walk me through the key changes?"
Step 5: Additional Settings
Add relevant tags to help users find your scenario:
- Skill tags: interview, presentation, negotiation, customer-service
- Context tags: professional, academic, technical, healthcare
- Level tags: beginner-friendly, advanced-concepts
Example tags: ["interview", "marketing", "professional", "intermediate"]
Voice Selection
- Male/Female: Choose what fits the character
- Consider context: Professional settings, age appropriateness
- Test both options: See which feels more natural for your scenario
Visibility Settings
- Public: Others can see and use your scenario
- Private: Only you can access it
- Default: Usually public unless you specify otherwise
Step 6: Testing and Refinement
Initial Testing
- Save your scenario as a draft
- Test it yourself: Run through the conversation
- Check timing: Is your estimate accurate?
- Evaluate flow: Does the conversation develop naturally?
Refinement Process
Common issues to address:
AI Too Rigid
- Problem: AI follows script too strictly
- Solution: Add “respond naturally to user input” guidance
Conversation Too Short/Long
- Problem: Doesn’t match estimated duration
- Solution: Adjust AI instructions about conversation depth and conclusion
Unclear Objectives
- Problem: Learner doesn’t know what to practice
- Solution: Revise description and initial message for clarity
Inappropriate Difficulty
- Problem: Too easy or too hard for intended level
- Solution: Adjust AI supportiveness and complexity
Testing with Others
- Get feedback: Have colleagues or students try the scenario
- Watch for confusion: Are instructions clear?
- Note engagement: Do users find it interesting and realistic?
- Check learning value: Are they practicing the intended skills?
Advanced Scenario Features
Multi-Phase Scenarios
Creating Progressive Conversations
Design scenarios that evolve through stages:
- Introduction phase: Getting acquainted, setting context
- Development phase: Main content, skill practice
- Challenge phase: Complications or deeper exploration
- Resolution phase: Conclusions, next steps
Implementation Tips
Use system prompt language like:
"Begin with introductory small talk, then transition to discussing the main project challenges. If the user demonstrates good problem-solving skills, introduce a budget constraint complication. Conclude by discussing next steps and timeline."
Adaptive Difficulty
Responsive AI Behavior
Create scenarios that adjust to user performance:
"If the user gives confident, detailed answers, ask more challenging follow-up questions. If they seem to struggle, provide gentle prompts and encouragement. Match your complexity level to their demonstrated expertise."
Cultural and Professional Context
Industry-Specific Scenarios
For specialized fields:
- Include accurate terminology: Research proper professional language
- Realistic situations: Base scenarios on actual industry challenges
- Appropriate protocols: Follow real-world professional standards
Cross-Cultural Considerations
- Communication styles: Account for different cultural approaches
- Formality levels: Match expectations for the cultural context
- Inclusive language: Ensure accessibility for diverse learners
Quality Assurance
Pre-Publication Checklist
Content Quality
Technical Quality
Accessibility
Common Issues and Solutions
Problem: AI Doesn’t Stay in Character
Symptoms: AI breaks role, gives inconsistent responses
Solutions:
- Strengthen character definition in system prompt
- Add specific behavioral guidelines
- Include personality details and motivation
Problem: Conversation Feels Scripted
Symptoms: Predictable responses, unnatural flow
Solutions:
- Add “respond naturally to user input” guidance
- Remove rigid question sequences
- Include adaptability instructions
Problem: Difficulty Level Mismatch
Symptoms: Too easy for advanced users, too hard for beginners
Solutions:
- Adjust AI supportiveness and patience
- Modify complexity of topics and language
- Add or remove challenging elements
Problem: Poor Learning Value
Symptoms: Users don’t feel they practiced useful skills
Solutions:
- Clarify learning objectives in description
- Ensure scenario actually requires target skills
- Add specific skill-building elements to system prompt
Sharing and Distribution
Exporting Your Scenario
Individual Scenario Export
- Go to Scenarios page
- Find your scenario
- Click export/share option
- Save JSON file with descriptive name
Including in Practice Packs
- Create or edit a practice pack
- Add your scenario to the pack
- Export the entire pack for sharing
Distribution Best Practices
File Naming
Use clear, descriptive names:
Interview-Skills-Marketing-Manager.json
Customer-Service-Product-Returns.json
Technical-Presentation-Beginner.json
Documentation
Include brief instructions for users:
- Target audience: Who should use this scenario?
- Learning objectives: What skills will they practice?
- Prerequisites: Any required knowledge or setup?
Quick Reference
Essential Elements Checklist
Quality Indicators
- Natural conversation flow
- Clear learning objectives
- Engaging, realistic context
- Appropriate challenge level
- Consistent AI character
Testing Process
- Self-test: Complete the scenario yourself
- Time check: Verify duration estimate
- Peer review: Get feedback from others
- Iterate: Refine based on testing results
Creating effective scenarios takes practice, but the impact on learners makes it worthwhile. Start simple, test thoroughly, and refine based on feedback! 🎯
Next Steps: