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Customer Interview Analysis Template

A structured framework for analyzing customer interview data at scale. Includes affinity mapping, quote coding, pattern extraction, and a decision.

Updated 2026-03-05

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Frequently Asked Questions

How many quotes should I code per interview?+
Expect 15-30 codeable quotes per 30-minute interview. Not every sentence is worth coding. Focus on statements where the user describes a problem, behavior, need, cost, or value judgment. Skip greetings, small talk, and generic statements like "It would be nice if everything worked better."
What if my themes keep changing as I code more interviews?+
That is normal for the first 5-7 interviews. Your code list evolves as you learn the domain. After 7-10 interviews, codes stabilize. If they do not stabilize, your interview questions may be too broad. Tighten your focus area and re-interview a few participants.
How do I avoid confirmation bias during analysis?+
Three safeguards. First, code quotes before grouping them. Grouping first encourages you to fit quotes into categories you expect. Second, always log contradicting evidence alongside supporting evidence. Third, have a second person independently code a subset (20%) of quotes and compare your codes. Disagreements reveal blind spots. The [Product Discovery Handbook](/discovery-guide) covers additional debiasing techniques.
When is qualitative analysis enough, and when do I need quantitative validation?+
Qualitative analysis is enough for understanding the shape of a problem: who has it, what they feel, what they do about it. It is not enough for measuring the size of a problem across your entire user base. After qualitative analysis, run a targeted survey (using the [Product Analytics Handbook](/analytics-guide) as a guide) to validate that your patterns hold at scale before committing major resources. ---

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