Customer Interview Checklist

1/9. Define your target customer profile and recruitment criteria.

A clear profile ensures you interview relevant people. This focuses insights on your actual market.

Sub-actions:

1.1 Identify key demographics, behaviors, and pain points

1.2 Create a screener survey to ensure participants are non-biased (not friends/family)

Pitfalls:

Vague profiles lead to irrelevant data.
Biased participants skew results.

2/9. Recruit 10-20 participants using neutral channels.

Diverse, unbiased recruitment provides representative insights. This avoids echo chambers.

Sub-actions:

2.1 Use LinkedIn, Reddit, or paid ads

2.2 Avoid personal networks

Pitfalls:

Too few participants limit reliability.
Biased channels confirm preconceptions.

3/9. Prepare open-ended questions focused on past behavior.

Behavior-focused questions reveal real actions, not hypotheticals. This yields actionable data.

Sub-actions:

3.1 Craft 8-12 questions

3.2 Avoid leading or yes/no questions

Pitfalls:

Leading questions bias responses.
Hypotheticals predict poorly.

4/9. Conduct interviews without pitching your idea.

Neutral interviewing uncovers honest feedback. This prevents confirmation bias.

Sub-actions:

4.1 Record with permission

4.2 Probe for details

Pitfalls:

Pitching turns it into sales.
No probing misses depth.

5/9. Take detailed notes and transcribe key quotes.

Accurate documentation preserves nuances. This enables thorough analysis later.

Sub-actions:

5.1 Note behaviors and emotions

5.2 Use tools like Otter.ai for transcription

Pitfalls:

Poor notes lose context.
Selective quoting misrepresents.

6/9. Analyze for patterns across interviews.

Identifying common themes reveals core insights. This separates signals from noise.

Sub-actions:

6.1 Code responses thematically

6.2 Identify recurring pain points and behaviors

Pitfalls:

Individual focus misses trends.
Confirmation bias ignores contrary data.

7/9. Share raw findings and key quotes with the team.

Transparent sharing aligns the team on insights. This builds collective understanding.

Sub-actions:

7.1 Use a shared doc or tool like Notion

7.2 Avoid interpretation at this stage

Pitfalls:

Early interpretation biases views.
Siloed findings limit impact.

8/9. Validate if insights challenge initial assumptions.

Comparing to hypotheses tests validity. This drives pivots when needed.

Sub-actions:

8.1 Compare to your hypothesis

8.2 Note surprises or confirmations

Pitfalls:

Ignoring challenges perpetuates errors.
No comparison misses learnings.

9/9. Synthesize insights into actionable recommendations.

Distilling findings guides next steps. This turns data into decisions.

Sub-actions:

9.1 Create personas or problem statements

9.2 Update product ideas based on findings

Pitfalls:

No synthesis leaves data unused.
Overgeneralization misleads.

Customer Interview
Checklist

This checklist ensures effective customer interviews to gather unbiased insights. Proper execution reveals true needs and validates assumptions early.

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How to Use

Expected Outcomes