The Scenario
A product team records all their user interviews. The auto-generated transcripts are huge and full of "um", "ah", and tangents. They want an LLM to read the transcript and extract specific Feature Requests and Bug Reports into a perfectly formatted Markdown table for Notion.
The Brief
Write a prompt that processes a raw transcript and outputs a specific Markdown table structure, discarding all off-topic conversation.
Deliverables
- The processing prompt
- The strict Markdown table template (Columns: Type, Mentioned By, Quote, Summary)
- Instructions to the AI on how to handle ambiguous statements (e.g., is it a bug or a feature?)
Submission Guidance
LLMs can get lazy with long texts and summarize too heavily. You must instruct it to be exhaustive in finding *every* feature/bug, but concise in how it populates the table row.
Submit Your Work
Your submission is graded against the rubric on the right. If you pass, you get a public Badge URL you can share on LinkedIn. There is no draft save, so work offline first and paste your finished response here.