Course Feedback Theme Summariser
Paste or upload open-ended survey responses and get recurring themes with counts, verbatim example quotes and suggested fixes to consider.
Economics
- Pricing example
- $12 for 10 surveys of up to 1,000 responses each (first survey free)
- Daily math
- 2 packs a day x $12 = $24/day.
- Target if you hit the daily math
- Target: $550 - $750 / month if the daily math is hit
Audience and urgency
Audience: Course creators, corporate trainers, lecturers and workshop organisers who collect end-of-course surveys.
Urgency: Open-ended feedback is the most useful part of a survey and the part least often read properly. Reading hundreds of comments to find patterns takes hours.
MVP scope
- ✓ CSV/XLSX upload or paste; choose the open-ended columns
- ✓ Optional anonymisation that removes names and emails before analysis
- ✓ Themes with counts and example quotes checked to match the original text exactly
- ✓ Sentiment per theme and suggested fixes labelled as suggestions
- ✓ Numeric questions summarised in code; PDF/Markdown export; credit packs via Stripe
Omitted features
- - Do NOT store survey data after the report is exported
- - Do NOT score or rank individual instructors
- - Do NOT invent quotes or numbers
Suggested stack
- Frontend
- React + Tailwind CSS
- Backend or API
- Serverless LLM endpoint with JSON output; Supabase for credits
- Payments
- Stripe Checkout (credit packs)
- Hosting
- Vercel or Netlify (free tier to start)
Repository metadata
- Blueprint ID
course-feedback-theme-summarizer- Category ID
workflow_ai_wrapper- Monetization ID
usage_pack
Day-one distribution
Channels
- Reddit r/instructionaldesign and r/elearning (follow rules)
- Course creator communities on X (Twitter)
- LinkedIn posts for L&D teams
Reddit strategy
Share a sample report built from public or made-up demo feedback, clearly labelled, with one free survey.
Cold outreach or directory hook
Offer training providers a free pack after their next cohort.
Search keywords
analyze open ended survey responses, course feedback analysis, survey comment theme analysis
One-shot master prompt
Build a "Feedback Themes" web app in React with Tailwind CSS and a serverless LLM endpoint.
Core requirements:
1. Upload CSV/XLSX or paste; pick open-ended and numeric columns; option to anonymise (regex removal of emails, phone numbers and a user-supplied name list) before any LLM call.
2. Numeric columns: averages, distributions and charts computed in code.
3. Open-ended: batch responses with IDs to the LLM; return themes {name, description, responseIds[], sentiment}; merge themes across batches; show counts from IDs and display 3 verbatim examples per theme pulled from the original data by ID.
4. Per theme, a "suggestions to consider" list clearly labelled as AI suggestions; the user can rename, merge or delete themes.
5. Export PDF and Markdown; data deleted after export. First survey free, then Stripe Checkout ($12 for 10).Comparable products
Published 2026-10-08.
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