A 2026 playbook for running customer discovery interviews. The right questions to ask, what to avoid, how many to do, and how to extract the signal from the noise.
Customer interviews are the highest-leverage activity in pre-PMF startups. Done right, they reveal the exact problem, language and price worth solving for. Done wrong, they confirm whatever you already believe. This playbook gives you the script, the questions, and the patterns to spot real signal.
Sources: relevant subreddits (DM commenters), niche LinkedIn groups, Twitter advanced search, direct DMs to people who left negative reviews on competitors.
The Mom Test (Rob Fitzpatrick): never ask if your idea is good (people lie politely). Instead, ask about their past behavior. "Tell me about the last time X happened" beats "would you use Y?".
(1) Walk me through the last time you faced [problem]. (2) What did you try? (3) What did you spend? (4) Why did it fail? (5) If a magic wand fixed this, what would change in your day?
"Annoying" = no business. "I hate it" = small business. "I would kill for a fix" = real business. The intensity of language predicts willingness to pay.
Open a sheet. For each interview, capture: pain, current solution, dollars spent, frequency, top quote. After 10, themes emerge — those are real.
For your top 3 candidates, return and pitch a manual solution: "If I solved this manually for you for $X, would you pay?" 3 yeses = real business.
Context: Email power users frustrated with Gmail
Approach: Personally interviewed 1000+ users before launching. Built only what 7+/10 mentioned.
Results: $1B+ valuation
Context: Engineers complaining about Jira
Approach: Did 100+ deep interviews with engineering managers before writing code
Results: Premium pricing accepted from day 1 because the pain was deeply understood
Pitching your solution
Ask about past behavior — "the last time" beats "would you"
Talking to friends/family
They lie politely. Talk to strangers in your ICP
Stopping at 5 interviews
10 minimum. Patterns appear after 7+
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