Define who belongs in your consumer study

Separate population, qualifier and comparison

Suppose a grocery service wants to understand meal-planning priorities. The population might be adults in the delivery region. A qualifier might require some responsibility for household grocery purchases. A comparison might contrast more frequent and less frequent meal planners. These serve different purposes.

If you exclude all infrequent planners, you can no longer use that sample to compare their needs with frequent planners. Decide whether a behavior is essential for eligibility or something you want to learn about. Avoid adding a restriction merely because it makes the audience sound precise.

Use neutral screening questions

These illustrative questions are starting points for human research, not a claim about InstaSights recruiting or branching capabilities:

1. Responsibility: “Which best describes your role in choosing groceries for your household?” Options: mainly responsible; share responsibility; occasionally contribute; not involved. Decide the eligible categories before fieldwork.
2. Recent activity: “In the past four weeks, how often did you help choose groceries for your household?” Options: never; once; two or three times; four or more times. Adjust the timeframe to the behavior being studied.
3. Relevant location: Ask for the least detailed location that establishes service-area eligibility. Do not collect an exact address when a broader area is sufficient.

Avoid “We need weekly shoppers—are you one?” The wording supplies the desired answer. Do not assume a stated qualifier proves the behavior happened; ask your human-research provider how it handles eligibility and quality checks.

Test every restriction against the decision

Compare “adults who share grocery decisions” with “adults aged 28–32 who shop on Tuesdays, buy a specific brand and already want our service.” The second may exclude people whose objections matter. It also makes recruitment a different task and limits what can be concluded about a broader market.

For each restriction, write one sentence explaining why an answer from someone outside it would not inform the decision. If you cannot explain the exclusion, consider measuring the characteristic instead. Retain a record of changes so the final audience does not quietly differ from the original brief.

Targeting a simulation is not screening humans

In InstaSights, the audience guides simulated consumer responses. A profile describing a weekly shopper is not proof that an actual person was recruited and bought groceries weekly. A generated response about experience is not verified human experience.

Confirm the available audience settings and group comparisons in the application. Do not assume every natural-language qualifier can be implemented or that a website template supplies quotas, disqualifying logic or identity verification. If the decision requires evidence from people with a verified experience, choose an appropriate human-research method.

Disclose the audience that actually supplied the evidence

For human research, report eligibility, recruitment approach, exclusions and final response bases. For simulation, disclose the model-based source and the audience description used. In either case, distinguish the intended population from the records actually analyzed.

AAPOR’s best-practice guidance emphasizes disclosing how a survey sample was constructed and how the work was conducted. A response count on its own is not a complete method description.

Use the audience questionnaire for substantive questions about behaviors and priorities after you have defined the scope. Do not spend the entire question budget on demographics that will not affect the decision.