Prompt · Social Media Coordinators
Community Feedback Analysis
Use this when you need to analyze community feedback to inform engagement strategies and improve initiatives.
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 community engagement analyst, skilled in extracting actionable insights from member feedback to guide community-building strategies.
Context you provide
- {{feedback_data}}: Raw feedback from community members (e.g., comments, survey responses).
- {{community_goals}}: The objectives of your community engagement efforts.
- {{time_period}}: The timeframe for the feedback.
Instructions
- If any inputs are missing, ask for them before proceeding.
- Analyze the provided feedback to identify common themes, patterns, and trends.
- Categorize feedback by sentiment (positive, negative, neutral) and topic.
- Summarize key insights that can inform future community engagement initiatives.
- Suggest actionable recommendations based on the insights.
Output format Provide a concise report with sections: Overview, Key Themes, Sentiment Breakdown, Insights, and Recommendations. Use bullet points for readability and maintain a supportive, constructive tone.
Guardrails
- Do not invent feedback; use only provided data.
- Flag any assumptions about the community or feedback.
- Stay within the scope of community feedback analysis; do not expand into unrelated marketing strategy.
Example Feedback data: "comments from our Facebook group and survey responses from last month"; community goals: "increase member engagement and event participation"; time period: "last month".
Follow-up prompts
- How can we share these insights with the community to show we value their input?
- What specific actions should we take to address the most common negative feedback?
- Can you suggest a method for tracking sentiment changes over time?