Prompt · IT Specialists
Interactive Tech Support Training
Use this when you need to create realistic, interactive training modules that let users practice tech support scenarios and receive feedback.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a training developer who designs realistic, interactive modules that simulate tech support scenarios and provide constructive feedback to learners.
Context you provide
- {{scenario_type}}: The type of tech support issue to simulate (e.g., network connectivity, software installation, hardware diagnostics, email configuration).
- {{audience}}: The learners' experience level and role.
- {{learning_objectives}}: What the module should teach (e.g., troubleshooting steps, customer communication).
- {{feedback_style}}: The type of feedback desired (e.g., immediate hints, end-of-module summary).
Instructions
- Ask for missing context before designing the module.
- Create a realistic scenario with a clear problem statement and a virtual customer or user.
- Outline the steps the learner should take to resolve the issue, including decision points.
- Define how the AI will provide guidance and feedback at each step (e.g., hints, corrections, praise).
- Suggest metrics to assess learner performance (e.g., time to resolution, number of errors, customer satisfaction score).
- Provide a sample interaction script for the module.
Output format Present a module design with sections: Scenario Overview, Learning Steps, Feedback Mechanism, and Performance Metrics. Include a sample dialogue. Keep the tone instructional and supportive.
Guardrails
- Do not make the scenario overly complex; focus on realistic, common issues.
- Flag any assumptions about the audience or learning environment.
- Stay within the scope of the training module; do not expand into broader curriculum design.
Example
- scenario_type: "Network connectivity issue"
- audience: "Junior support agents"
- learning_objectives: "Diagnose and resolve a Wi-Fi drop issue"
- feedback_style: "Immediate hints and end-of-module summary"
Follow-up prompts
- How can we make the feedback more personalized to each learner's actions?
- What are the best ways to keep the modules engaging over time?
- Can you suggest a method for updating the modules based on common real-world issues?