Master Customer Interviews
Learn how to use interviews as a practical tool to find out if the problem you're solving really exists.
Real CraftUp lesson
When interviews work (and when they don't)
Try the quiz questions taken directly from the published CraftUp lesson for this module.
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Lessons
What you'll learn in this module
When interviews work (and when they don't)
Foundational vs. refinement research
Exploratory vs confirmatory interviews
Moderated vs unmoderated interviews
One-on-one vs group interviews
How to run guerrilla interviews for rapid user feedback
How to run diary studies and longitudinal interviews
How to conduct field observation
How to run JTBD-style interviews
Validating B2B vs. B2C problems
How to recruit people for interviews
How to use snowball sampling via referrals
Tools for running customer interviews
How to capture insights from interviews solo vs pair
How to start interviews with segmentation questions
How to write strong interview questions
Listen 80% of the time
How to handle unresponsive interview participants
How to structure a problem-focused interview
Prevent solution contamination
How to validate interview quality
Using Jobs to Be Done as a lens in interviews
Triangulating user feedback with analytics data
How to interpret what users really mean
How to analyze interview notes for patterns
How to use affinity mapping for interview synthesis
How to create empathy maps
How to prioritize problems with pain point ranking matrix
Mitigating cognitive biases in user research
Intellectual honesty in problem research
Ethnographic research principles
Understanding radical empathy in user research
How to apply the Mom Test approach
How to use Five Whys to find root problems
How to capture natural language for messaging
How many interviews do you really need?
Why most interviews backfire
Context and why it matters in 2026
Learn how to use interviews as a practical tool to find out if the problem you're solving really exists.
In modern product teams, progress depends on clear playbooks and measurable outcomes. This module gives you practical steps you can apply immediately while keeping alignment with the broader Master Problem Validation curriculum.
Step-by-step playbook
Templates and examples
- What you'll learn in this module
- When interviews work (and when they don't)
- Foundational vs. refinement research
- Exploratory vs confirmatory interviews
- Moderated vs unmoderated interviews
- One-on-one vs group interviews
Related examples from the blog
If you are working on AI-enabled workflows, review the glossary terms Prompt library and Reflection loop for reusable implementation patterns.
Metrics to track
- Module completion rate from first to last lesson.
- Lesson-to-lesson progression drop-off points.
- Time to complete versus the estimated 190 minutes.
- Retention into the next module and downstream lesson activity.
Related topics
FAQ
Who is this module for?
This module is designed for learners following Master Problem Validation, especially if you want to improve master customer interviews with practical, repeatable steps.
How long does this module take?
Estimated completion time is 190 minutes across 38 lessons.
How should I study this module?
Complete lessons in order, apply one concept immediately in your current project, and review your progress using the metrics section below.
What should I do after this module?
Continue to the next module, then read the related articles to deepen your understanding with tactical examples and case studies.
Part of Master Problem Validation
Learn how to dig deep into customer problems, validate if your idea truly matters, and avoid wasting time on solutions nobody wants.
View full courseOther modules in this course
Introduction to Problem Validation
Get clear on what problem validation actually is, why it's different from solution testing, and how to avoid common traps.
Validate with Data
Talking to people is powerful, but numbers help you see the big picture. This module teaches you how to use simple surveys, waitlist data, and basic metrics.
Validation through real user behavior
People talk. But behavior tells the truth. This module teaches you how to run experiments that test whether users act on a problem.
Tools for problem validation
Discover the tools to help you run faster and more effective problem validation. This module walks through the most useful AI tools, no-code survey platforms.
Related articles
Customer Interviews With AI: Use AI Without Losing the Evidence
A stage-by-stage control system for using AI in real customer interviews without turning model output into customer evidence.
Customer Interviews for Product Discovery: From Questions to Decisions
An end-to-end Product Management workflow for deciding when interviews fit, recruiting relevant participants, collecting traceable evidence, synthesizing contradictions, and making a Product decision.
How Many Customer Interviews Are Enough? Sample Size & Saturation
Plan an initial qualitative interview sample, review evidence in batches, and decide whether to stop, recruit another context, repair the study, split the sample, or switch methods.
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