Turn a target audience into a research plan

Start with a decision you can change

Imagine a fictional grocery-planning service deciding whether its first offer should emphasize saving preparation time or reducing food waste. “Understand our customers” does not yet specify what to learn. “Which barriers should the first offer address?” connects the research to a concrete choice.

Record what you already know, what you assume and what evidence could change the plan. For example, the team may assume that frequent cooks want more recipe variety. Treat that as an assumption until suitable evidence supports it, not as a trait to build into every question.

Inventory evidence before commissioning more

Look for relevant support questions, customer conversations, product usage and previous research you are authorized to use. Keep the source, date, audience and limitation attached to each observation. A few requests from current customers may suggest a useful question, but they do not describe everyone who might use the service.

Do not combine unlike sources into a pretend sample. Website visitors, paying users, interview participants and generated profiles have different origins. A small evidence inventory can simply list the observation, source, decision it informs and the remaining uncertainty.

Define the population without assuming the answer

For the grocery example, begin with adults who take some responsibility for household grocery decisions in the intended service area. Then decide which characteristics affect eligibility and which should remain comparison variables. Excluding everyone who does not already meal-plan would make it harder to learn why planning is difficult.

Use the screening guide to separate population, qualifiers and groups. In a simulation, these are audience specifications—not proof that actual people with those behaviors were recruited.

Map each uncertainty to a question

• Current routine: How often is grocery shopping planned in advance? Use a clear timeframe.
• Main priority: Which factor matters most when deciding what to buy? Keep cost, convenience and variety distinguishable.
• Barrier: What most often disrupts the plan? Include plausible alternatives instead of listing only problems your product solves.
• Change: Which improvement would be most useful? Ask about a defined benefit rather than the preferred brand promise.

The annotated grocery questionnaire provides actual response options. It is a structured starting point, not a substitute for human interviews if the task is to discover unfamiliar experiences in participants’ own words. The standard InstaSights offer does not include open-text response questions.

Preselect comparisons that could change the offer

A potentially useful comparison is between frequent and infrequent planners—if the selected method and available data support it. Write the business consequence first: perhaps one group needs help choosing meals while another needs help adapting a plan. Do not scan every demographic slice afterward and invent a strategy around the largest apparent gap.

Check base counts and the meaning of each percentage. A difference in simulated responses does not prove a real market segment exists. See the worked crosstab guide for a reproducible calculation and its limits.

End with a learning decision, not a decorative persona

Summarize the question, evidence source, observation, uncertainty and next action. If the output suggests that a barrier is important, decide how to investigate it with the appropriate people or behavior. If it contradicts your assumption, preserve the contradiction.

For the fictional service, a useful next step might be testing two clearly defined offers with eligible consumers. A less useful conclusion would be to invent a named persona with unsupported income, lifestyle and purchasing habits. Keep the plan specific enough to act on and honest enough to revise.