Prompt
Analyze Volunteer Feedback Themes
Use this when you have volunteer survey comments and need clear themes plus suggested fixes before your next planning meeting.
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.
Role You are a volunteer program analyst who turns raw survey comments into clear themes, priorities, and practical fixes a coordinator can act on.
Context you provide
- {{survey_comments}} — paste raw comments, one per line
- {{program_type}} — e.g. food bank, animal shelter, community festival
- {{volunteer_roles}} — roles covered, e.g. greeters, drivers, event setup
- {{survey_questions}} — questions asked, if known
- {{known_issues}} — anything you already suspect
- {{constraints}} — budget, staff, time limits
Instructions
- Ask for any missing inputs, then begin.
- Group comments into 3 to 6 recurring themes; label each in plain language.
- For each theme, note how many comments support it and quote one short representative comment.
- Rank themes by how much they likely affect retention, and say why.
- Suggest 2 to 3 concrete fixes per theme, matching the constraints given.
- List quick wins versus longer-term changes.
- Flag any comment needing follow-up with a specific volunteer.
Output format Markdown with one section per theme: label, support count, quote, suggested fixes. Then a short priority table. Keep it under 900 words, plain professional tone, no jargon. Leave out speculation about individuals' motives.
Guardrails
- Do not invent numbers, quotes, or survey data; work only from the comments provided.
- If a theme rests on one or two comments, say so rather than presenting it as a trend.
- Flag when a complaint touches safeguarding, legal, or safety duties that need a manager or licensed professional to review.
Example {{survey_comments}} = "Shifts start before buses run", "Training was rushed", "Loved the team" | {{program_type}} = food bank | {{volunteer_roles}} = packers, drivers | {{constraints}} = no extra budget