Flavor Fatigue Interview Tracker

Uncover the barriers to cooking global cuisines at home

00:00 Ready — hits Record to capture audio and live transcript simultaneously
Start here. Fill this in before the interview begins. Hit Record when your interviewee is ready, then move to Question Bank.

Who & When

Recruit Profile

Quick read on who this person is before you start.

Hypothesis Reference

Quick reminder of what you're testing. Score these in Live Signals during the interview.

Tier 1 — Must Be True
H1 Curious cooks have real, recurring friction trying global cuisines at home
H2 Existing options (meal kits, YouTube, cookbooks) don't remove the friction
Tier 2 — Shapes the Beachhead
H3 No flavor reference point is the deepest barrier (not sourcing or recipes)
H4 Ingredient sourcing friction and pantry waste compound over time
H5 "Someday" queue — desire is strong but path feels too hard
H6 Heritage/cultural connection is real but underserved
Tier 3 — Shapes the Solution
H7 Anchors food cost to restaurants ($15-25/meal), not groceries
H8 Cooking is part of the experience — they want to make it, not just eat it
H9 Food exploration is part of their identity
H10 Has tried to solve this before and been let down
H11 Problem recurs — it's a standing gap, not a one-time frustration
During or immediately after the interview. Mark signals as they emerge -- don't wait until the end.

JTBD Clusters Observed

Hypothesis Signals

Emotional Peaks

Frustration
Excitement
Doubt/Insecurity
Aspiration

Best Quote

Other Signals

Weeks 4-5 only. Use this tab when showing storyboards (Week 4) or sketch prototypes (Week 5) during interviews. Fill in the discovery tabs first, then switch here when you pull out the concepts.

Testing Mode

Version Shown

Storyboard Reactions (Week 4)

Prototype Reactions (Week 5)

Willingness Signal

VP Canvas Assumption Tested

Changes to Make for Next Interview

Top 3 Takeaways

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Biggest Surprise

Primary JTBD Observed

Artifacts Collected

Follow-up Needed

Referrals

Notes from Recording / Transcript

Auto-saved here when you hit "Save to Post-Interview Notes" on the Live Signals tab. Expands as it fills.

Raw Data Export

All fields from every saved interview. To push to the Excel ledger: Download CSV → drop in project folder → run python import-csvs-to-ledger.py

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Question Notes by Interviewee

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