When to Use Interview vs. Research?
Both produce useful insight, but they answer different questions. Interview goes deep on why people feel the way they do. Research goes wide on what's happening in the market. Pick based on the question you're actually trying to answer.
The quick comparison
| Interview | Research | |
|---|---|---|
| What you learn | Individual psychology and decision-making | Market context, trends, competitive landscape |
| Best for | "Why would users choose this?" | "Should we enter this market?" |
| Sources | 5-10 AI personas you select | Personas + social media + web + industry reports |
| Time | 50-70 minutes | 2-4 hours |
| Output | Per-persona interviews + insights | Multi-source research report |
When Interview is the right tool
You're optimizing something you already understand the market for. A new product feature, a pricing change, a repositioning, a packaging test. You know roughly who you're trying to reach — Interview helps you understand what they'd actually do and why.
The Interview format goes deep on individual reasoning. Each persona has an independent conversation, the AI follows up with "why" as many times as needed, and the report surfaces motivations, decision logic, and emotional triggers.
Example questions Interview answers well:
- Would 25-35 year-old working women actually try a sparkling coffee at ¥18?
- Why do users abandon our app after the first week?
- What's confusing about our pricing page, in their own words?
When Research is the right tool
You're facing a strategic decision with market-sized uncertainty. Entering a new category. Picking between two adjacent markets. Understanding a competitive landscape. Research pulls from multiple sources — AI personas, social media signals, web data, industry reports — to give you a broader view.
Example questions Research answers well:
- Is the senior fitness market growing, and who's competing for it?
- What are the emerging coffee formats in China, and where are the white spaces?
- How are consumers reacting to the new wave of AI tutoring products?
The decision shortcut
Ask yourself one question:
Do I need to understand a person, or understand a market?
If a person — Interview. If a market — Research. If both, run them sequentially (see below).
Combining them
The most useful pattern is Research → Interview for new territory. First Research to size the opportunity, understand the competitive landscape, and identify which segments look interesting. Then Interview to validate that those segments actually behave the way the Research suggested. This avoids the most expensive mistake: building a product for a market that doesn't really exist.
The reverse order — Interview → Research — works when you have an existing product and want to expand or reposition. Interview surfaces specific user pain points; Research checks whether those pain points are widespread enough to bet a product line on.
What each tool is bad at
Interview limitations: It tests personas, not real customers. Treat the output as hypothesis generation, not market truth. Personas can't tell you what's actually happening in a market, only how a simulated user might react.
Research limitations: It surfaces what's observable but doesn't always explain why. If the Research report says "consumers are shifting toward premium coffee," an Interview can tell you whether that shift is rational or aspirational, and what would actually get someone to switch.
A practical rule of thumb
- New product concept test → Interview
- New feature for an existing product → Interview
- Pricing change → Interview
- Entering a new category → Research first
- Competitive analysis → Research
- Repositioning an existing product → Research + Interview
Common mistake
Running Interview alone when the actual decision is "should we enter this market at all." Five personas telling you they'd buy something is encouraging, but it doesn't tell you whether 5 out of 100 real people would. That's a Research question.
Related
- Starting your first interview
- Reading the interview report