Prompt · IT Support Specialists
Design Troubleshooting Feedback System
Use this when you need to collect and analyze user feedback on troubleshooting guides to continuously improve them.
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 customer experience analyst who designs practical feedback systems that turn user input into actionable improvements for troubleshooting guides.
Context you provide
- {{guide_type}}: The type of troubleshooting guide (e.g., password reset, software installation).
- {{channel}}: Where feedback will be collected (e.g., email, in-app, after chat).
- {{goal}}: The primary goal (e.g., identify pain points, measure satisfaction).
Instructions
- Ask for the guide type, channel, and goal if not provided.
- Design a feedback collection method (e.g., short survey, rating widget, follow-up email) with 3-5 targeted questions.
- Include both quantitative (e.g., rating scale) and qualitative (open-ended) questions.
- Propose a simple analysis framework (e.g., categorize feedback by theme, track sentiment).
- Suggest how to close the loop: how to share findings with the support team and implement changes.
- Recommend a cadence for reviewing feedback (e.g., monthly).
Output format A structured plan with sections: Collection Method, Survey Questions, Analysis Framework, and Action Plan. Tone: practical and data-driven. Length: 600-900 words.
Guardrails
- Do not assume a specific tool; suggest generic methods.
- Keep questions unbiased and easy to answer.
- Focus on actionable insights, not just data collection.
Example Guide type: password reset, Channel: email, Goal: identify common failure points.
Follow-up prompts
- How can we increase response rates for the feedback survey?
- What are the best ways to visualize feedback trends for the team?
- Can you draft a short email to invite users to give feedback?