How to Conduct Market Research Before Launching a New Product

Market research before launching a product helps a team replace assumptions with evidence about customers, alternatives, demand and the conditions required to reach buyers. It cannot remove uncertainty, but it can show which questions matter most before time and money are committed.

By Redisry Group · Published 25 Oct 2026 · Updated 5 Nov 2026

Start with the decision, not the survey

Write down the decision the research must inform: which customer group to serve, which problem to solve, whether an offer is understood, what to test next, or whether to launch. A brief such as “understand the market” can produce facts without a useful conclusion.

Turn the decision into answerable questions. How do target customers solve the job today? What makes them consider a change? Who influences the purchase? What evidence would make the team pause? Separate known facts from assumptions, then prioritise assumptions that could invalidate the opportunity if wrong.

Define the market and target customers

Describe the people or organisations whose choices matter. Use differences that shape the problem: task, context, current alternatives, purchasing role and constraints. Avoid defining an audience only by a broad demographic or by who is easiest to reach.

Map the buying system. In a business purchase, the user may differ from the buyer, approver, procurement lead, IT reviewer and operational owner. Each may have a different need or veto. A precise segment definition improves recruitment, analysis and the eventual product decision.

Market estimates can frame an opportunity, but depend on definitions and assumptions. Record source, date, geography and calculation. A large top-down number does not establish that reachable buyers have the problem, want this solution or will pay for it.

Understand alternatives and competitors

Customers compare a proposal with more than direct competitors. Alternatives may include a spreadsheet, internal workaround, adjacent service, doing nothing, or delaying the decision. Ask what people use now and what would happen if the proposed product did not exist.

Compare alternatives on outcomes, effort, switching cost, trust, price structure, access, integration and support. Public pricing and product pages reveal how competitors position themselves, not necessarily how customers experience them. Where possible, observe the task and speak with people who recently evaluated options.

Combine qualitative and quantitative evidence

Use interviews, observation, support conversations or workflow walkthroughs to understand language, context and unanticipated needs. Ask about a recent specific instance: “Tell me about the last time this happened.” Probe what the person did next, what was difficult, and which people or tools were involved. This is more grounded than asking whether someone likes an idea.

Use quantitative evidence when the question requires estimating prevalence, comparing defined groups, testing a message at scale or tracking a measure. Surveys require careful audience selection, wording and answer choices. Operational data, sales records and analytics can add signals if their coverage and collection are understood.

Methods answer different questions. Interviews can explain why a behaviour occurs, but do not alone show how common it is. Surveys can measure responses to stated options, but may miss unanticipated alternatives. Combine methods while distinguishing observed behaviour, reported opinion and interpretation.

Test assumptions and demand

Make the offer concrete enough to evaluate. A concept page, prototype, sample workflow, pricing presentation, pilot invitation or pre-order test can help if it is honest about what exists. Prefer meaningful behaviour over compliments: a meeting request, a trial, sharing relevant data, or a purchase under clear terms.

Before testing, state the hypothesis, audience, exposure, outcome measure and decision threshold. Track who saw the offer and how they were recruited. A small or self-selected group may generate learning, but should not be presented as representative demand. Protect participant data and clearly explain any service or payment commitment.

Avoid common research mistakes

• Starting with a solution and asking people to validate it.
• Recruiting only friends, fans or people unlike target buyers.
• Using leading questions or relying on hypothetical intent.
• Confusing a competitor list with a complete view of alternatives.
• Combining distinct customer groups into one average.
• Reporting precise market estimates without their assumptions.
• Ignoring evidence that challenges the team’s preferred answer.

Keep an evidence log: question, source, date, method, observation, interpretation, confidence and limitation. This makes it easier to revisit assumptions when new evidence arrives.

Turn findings into a launch decision

Summarise what is supported, what remains uncertain and what would change the decision. Compare the opportunity with the team’s ability to build, deliver, support and reach the product. The result may be a launch, a narrower segment, a different offer, another test, a partnership or a decision to stop.

Translate the decision into launch planning: target customer, value proposition, proof needed, channel assumptions, pricing to test, operational readiness and first learning measures. Research is useful when it changes a decision or identifies the next evidence to collect.

Before-launch research checklist

• The decision and riskiest assumptions are written down.
• Target users, buyers and influencers are defined.
• Current alternatives include workarounds and doing nothing.
• Methods fit the question and their limits are documented.
• Demand tests set criteria in advance and observe meaningful behaviour.
• Findings include contrary evidence, not only supporting quotes.
• The recommendation has a next action and an owner.