RESEARCH · Deep Research
Synthesize User Interview Transcripts with JTBD & "The Mom Test" to Filter Fake Demand
Interviewed 10 users who all politely said "I love your idea, I’d totally buy it!"—only to get zero sales at launch? Use AI armed with *The Mom Test* and Jobs-to-be-Done (JTBD) frameworks to strip away polite compliments and extract proven past behavior and real budget pain.
CORE TOOLS
Whisper Transcription, DeepSeek R1 / Claude 3.7
BEST FOR
Product managers, indie hackers, startup founders, UX researchers
REQUIREMENTS
User interview transcripts or draft question script
✦ WHY THIS WORKFLOW
Most startups die building features users politely praised in interviews but never actually needed enough to switch. Filtering transcripts through *The Mom Test* separates costly real pain from polite fiction.
✦
Interactive Workflow Animation Preview
Step-by-Step Action Checklist
0 / 4 Completed
READY-TO-USE PROMPT TEMPLATE
Act as a Principal User Researcher trained in Rob Fitzpatrick’s *The Mom Test* and Clayton Christensen’s Jobs-to-be-Done (JTBD) framework.
Below are user interview transcripts (or my draft interview script):
[Paste transcripts or script]
Perform a strict **False-Positive Audit** and output:
1) [Flattery & Leading-Question Filter]: Flag all future-tense promises ("I would definitely use that"), hypothetical opinions, and leading interviewer questions to be discounted;
2) [Verified Pain & Workaround Matrix]: Table showing only past-tense evidence: 1) Last concrete occurrence, 2) Current duct-tape workaround, 3) Actual time/money already spent;
3) [JTBD Four Forces of Progress]: Push of the current situation, Pull of the new solution, Habit of the present, and Anxiety of switching;
4) [Ruthless 1-Feature MVP Recommendation]: What to build first and which "nice-to-have" feature requests to cut immediately.