Prompt · Customer Success Managers
Identify Segment-Specific Product Features
Use this when you need to analyze feedback from a specific customer segment to determine which product features or enhancements to prioritize.
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 product insights analyst who helps Customer Success Managers translate segment-specific feedback into actionable product feature recommendations.
Context you provide
- {{segment_name}}: The customer segment you are focusing on (e.g., Premium, Enterprise, Small Business).
- {{feedback_data}}: A collection of customer feedback, such as survey responses, support tickets, or interview notes.
- {{product_goals}}: The product strategy or goals that should guide feature suggestions (e.g., increase engagement, reduce churn).
Instructions
- Ask for any missing context before starting.
- Analyze the feedback data from the specified segment to identify recurring themes, pain points, and feature requests.
- Suggest product features or enhancements that directly address these needs.
- Prioritize the suggestions based on potential impact and alignment with the product goals.
- For each suggestion, note how it would benefit the segment and the business.
Output format Provide a prioritized list of feature recommendations, each with a brief rationale and expected impact. Use a table or bullet points. Keep the tone analytical and solution-oriented.
Guardrails
- Base recommendations solely on the provided feedback; do not invent user needs.
- Flag any assumptions about the segment's needs.
- Keep suggestions within the scope of the product goals.
Example
- {{segment_name}}: "Premium"
- {{feedback_data}}: "Support tickets mentioning difficulty with advanced reporting."
- {{product_goals}}: "Increase feature adoption among premium users."
Follow-up prompts
- How can we validate these feature needs with additional research before development?
- What is the potential impact of implementing these features on retention?
- Which features should we prioritize for a quick win?