Finding Patterns in User Feedback

## What You'll Learn - The pattern analysis challenge: Making sense of 10+ interviews and 100+ feedback pieces - AI-powered thematic analysis (how to find themes across conversations) - The Pattern Analysis Prompt (turn raw data into actionable themes) - Real example: 15 customer interviews → 5 key product themes - How to prioritize patterns (impact vs frequency matrix) - From patterns to product decisions (theme → feature mapping) --- ## Why This Matters (3 min read) **The Scenario:** You just finished 15 customer interviews. Each conversation was 30-45 minutes. You have: - 15 interview transcripts (200+ pages) - 47 support tickets - 23 feature requests from your feedback form - 6 weeks of live chat logs You know there's gold in this data. But you're drowning in notes. **The Questions:** - Which problems show up most often? - Which pain points are most severe? - What do customers actually care about vs. what they're just complaining about? - Which features would have the biggest impact? - How do you turn 200 pages of notes into 3 prioritized initiatives? --- **What Most Founders Do (The Wrong Way):** **Option 1: The Gut Feel Approach** *"I've talked to 15 customers. I have...