Reading time: 7–8 min
Most founders skip research or do it wrong. They either assume they already know the market, or they spend weeks reading reports that tell them what everyone already knows. Real research — the kind that gives you an unfair advantage — looks different from both of those things.
Why Research Is Not About Confirmation
The instinct when you have a new idea is to look for evidence that supports it. You search for the statistic that confirms your market is big. You find the article that says the problem is real. You share it with your team and everyone feels good about what you are building.
This is not research. This is confirmation bias dressed up as due diligence.
Real research starts with a different posture: you are trying to understand something you do not yet understand, not prove something you already believe. The goal is to update your assumptions — including the possibility that the assumption you care most about is wrong. Founders who can hold that uncomfortable possibility openly are the ones who find insights others miss.
The goal of research is not to validate your idea. It is to understand the reality you are walking into.
The Two Dimensions: What vs. Why
Before you decide which research method to use, you need to know what kind of question you are trying to answer. There are two fundamentally different types of research questions, and they require fundamentally different approaches.
The first type is a what question. How many people have this problem? How often does it happen? What percentage of them currently pay for a solution? These questions require numbers. They require quantitative research.
The second type is a why question. Why do people behave this way? What do they care about? What feels frustrating, embarrassing, or expensive about their current situation? These questions require understanding. They require qualitative research.
Confusing the two — which most first-time researchers do — produces data that answers neither question well.
Quantitative Research — When You Need Numbers
Quantitative research produces numbers. How many, what percentage, how often, how much. It answers questions of scale and prevalence. You run surveys, count behavior, or observe patterns across a large sample.
The limitation is that quantitative research can only measure what you already know to ask about. A survey can tell you that 68% of respondents in Bangkok find scheduling a car service inconvenient. But it cannot tell you why they find it inconvenient, or what a solution that genuinely resolves that friction would actually look like. For that, you need qualitative.
Qualitative Research — When You Need Insight
Qualitative research produces understanding. It uses interviews, focus groups, ethnography, and observation — methods that let you follow a thread wherever it leads. It is how you find the insight behind the data.
The limitation is that qualitative research does not scale to statistical significance. You can interview ten people and learn an enormous amount. You cannot say '70% of people feel this way' based on ten interviews. That is not what qualitative is for.
At the early stage of a venture, qualitative research will almost always be your most valuable tool. You do not yet know enough to design a good survey. You need to understand before you can measure.
Quantitative
Answers: How many? How often? How much?
Tools: surveys, analytics, usage data, A/B tests
Requires: large sample for statistical confidence
Risk: measuring the wrong thing precisely
Best for: validating scale, measuring behavior, testing hypotheses
Qualitative
Answers: Why? What does it feel like? What matters?
Tools: interviews, observation, focus groups, ethnography
Requires: depth and willingness to follow the thread
Risk: over-generalising from a small sample
Best for: discovering insight, understanding motivation, generating hypotheses
Primary vs. Secondary Research
Secondary research is research conducted by someone else — academic papers, industry reports, market analyses, government data. It is fast, inexpensive, and a sensible starting point. But it comes with two unavoidable limitations: it may have been conducted in a different market context, and it may be old. In fast-moving markets, three-year-old data can be materially misleading.
Primary research is research you conduct yourself, with your specific target market, in your specific context. It is more expensive and time-consuming. It is also the only way to get current, relevant insight about the people you are actually building for. Most real ventures require both: secondary research to understand what is already known, primary research to close the gaps.
Where to Start With Secondary Research
Good secondary research gives you context before you walk into conversations. It tells you what the industry already knows about itself — and often reveals the gap between what analysts believe and what customers actually experience.
Key sources worth knowing:
The Zoom In / Zoom Out Method
Experienced researchers move between two modes depending on what they are trying to do.
Zoom out means stepping back to see the macro picture — industry reports, sector trends, investment flows, population data. You use this to identify which direction the market is heading, which problems are getting bigger rather than smaller, and where demand is structurally growing. If the trend is your friend, building in that space is like running on an escalator — your speed adds on top of the market's own velocity.
Zoom in means going deep with specific people in your target market — through interviews, observation, and conversation. You use this to understand the driver behind the trend. The trend tells you that aging societies create demand for senior care. The zoom-in tells you why the current solutions are failing, what caregivers actually worry about at 2am, and what they would genuinely pay for.
Zoom out to find the escalator. Zoom in to understand who is riding it and why.
The most powerful research combines both. You use macro data to direct your attention, then qualitative interviews to crack the insight that the macro data cannot give you. Researchers who only zoom out produce slide decks with impressive statistics and no real insight. Researchers who only zoom in get depth without direction.
Qualitative Methods — What You Are Choosing Between
When you are at the early stage of a venture, qualitative research will almost always be your primary tool. Here are the main methods:
In-Depth Interviews
One-on-one conversations with a target customer, user, or stakeholder. This is the most important method in early-stage research, and it is covered in full detail in the Interview Masterclass article. Done well, a single in-depth interview can surface an insight that changes your entire direction. Done poorly, it produces polite agreement and no useful information.
Ethnographic Observation
Watch people in their natural environment, doing the thing you are trying to improve. Do not ask them to describe their behavior — observe it. People's actions and their self-reports of their actions are often completely different. The classic case is the milkshake study (covered fully in the JTBD article): when researchers stopped asking customers what they wanted and instead watched what they actually bought and when, the real insight emerged in hours rather than weeks.
Focus Groups
Facilitated discussions with 6–10 people from a target segment. Useful for understanding shared language, common concerns, and how people talk about a problem. Less useful for deep individual insight, because group dynamics often push participants toward consensus rather than honest expression. Use focus groups to understand vocabulary and shared context, not to discover truth.
Diary Studies and Longitudinal Research
Ask participants to record their experiences over time — photos, voice notes, written reflections. Useful when the behavior or problem you are studying is episodic or context-dependent. If you are building something for late-night anxiety, a diary study captures what happens at 2am in a way that a daytime interview cannot.
The Research Mistake That Kills Most Startups
The most common research mistake is not the absence of research — it is research conducted after the product decision has already been made. The team builds something, then talks to customers to validate it. The conversations become confirmation exercises rather than discovery exercises. Insights that contradict the current direction get filtered out unconsciously.
The CB Insights analysis of 101 failed startups found that 42% cited 'no market need' as a primary cause of failure. Almost all of them had done some form of research. What they had not done was research with genuine openness to being wrong. The research confirmed what they wanted to believe, and the market gave a different answer.
Start your research before your solution is fully formed. The more open your question — 'tell me about the last time you experienced this problem' rather than 'would you use an app that did X' — the more useful the answer.
✎ A Note for GVP Students
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