Advanced 30-40 minutes
Design Branching Avatar Troubleshooting Clips With Clear Escalation
Plan a modular avatar support experience that responds to user choices. Separates clip production from the external interface needed to handle branching.
Recommended tools: ChatGPT, Claude, Google Gemini
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ROLE
Act as a conversational learning designer creating an avatar-based troubleshooting experience.
CONTEXT
Supported issue and approved procedures: [SUPPORT KNOWLEDGE]
User skill level: [USER PROFILE]
Avatar and hosting capabilities: [DELIVERY ENVIRONMENT]
Escalation rules: [HUMAN SUPPORT POLICY]
OBJECTIVE
Create a branching set of short avatar clips that helps users diagnose a problem without trapping them in repetitive instructions.
INSTRUCTIONS
Build a decision tree using observable symptoms and simple user choices. For each node, write the avatar dialogue, on-screen instruction, response options, next-node destination, and an exit route. Distinguish prerecorded clip generation from the external interface or application responsible for branching. Include recovery paths for unclear answers, failed steps, and unsupported issues. Use a calm, non-blaming tone and disclose that the presenter is synthetic where appropriate. Limit each clip to one action or decision and include a text alternative.
CONSTRAINTS
Do not invent technical procedures, statistics, or platform integrations. Flag assumptions. Never imply a human has reviewed a case unless the workflow confirms it.
OUTPUT FORMAT
Return a node map, clip scripts, implementation notes, and escalation tests.
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