Worked example
A large sample can still overrepresent one customer group
Illustrative scenario and demonstration data. Not Broad Promo client results or a performance promise.
| Customer group | Share of the defined customer population | Share of survey respondents |
|---|---|---|
| Frequent buyers | 30% | 80% |
| Occasional buyers | 70% | 20% |
These fictional shares describe coverage imbalance, not a margin-of-error calculation. Increasing responses from the same recruitment source may preserve the imbalance. A larger sample does not automatically correct selection, wording or nonresponse problems.
What matters for quantitative market research
Quantitative research measures patterns using structured questions and numerical analysis. Its usefulness depends on who participates, what is asked, and what decision the results support. A large response count does not correct a biased sample or unclear questionnaire. A research brief should specify the population, comparisons, and level of precision needed. Findings should describe uncertainty and avoid implying that a convenience sample represents everyone in the market.
Define what the evidence can support
Start with the decision you need to make, whose experiences you need to understand, and what you already know. Recruit people who fit that audience, not just those who are easiest to reach. Review the questions or discussion guide before the research begins, checking that the wording is clear and does not steer people toward a preferred answer.
Agree how the findings will be analysed and presented. Survey reports should explain who took part and the sample size for each group. Interview reports should show themes, context, and different experiences. Be clear about missing perspectives and uncertainty. Use the findings to guide a decision or test, not to promise sales or justify a conclusion chosen in advance.
A practical checklist
- Define the decision, population, and comparisons before writing questions.
- Choose recruitment and sampling methods appropriate to the intended claims.
- Use neutral wording and response options that cover realistic answers.
- Pilot the questionnaire to identify ambiguity and excessive length.
- Check response quality and document exclusions or weighting.
- Report base sizes, limitations, and practical implications alongside percentages.
Use this checklist to see what is working and what needs attention. Start with the most important change before taking on more work. Record what you change so you can understand the results later.
How to assess the results
Evaluate recruitment quality, completion patterns, subgroup sizes, question validity, and whether the findings answer the brief. Statistical precision depends on the sampling design, not just the response count. Separate descriptive findings from causal claims; a survey association alone does not demonstrate that one factor caused another.
What to include in your brief
Explain the decision, the people you need to survey, and any groups you want to compare. Share existing questionnaires or data, along with the locations, languages, budget, deadline, and any recruitment difficulties. Agree on sampling, a pilot questionnaire, quality checks, analysis, privacy, and what conclusions the study can support.
Ask for a proposal explaining what is included, what your team needs to provide, who owns the work, and what it costs. Agree when you will review progress. Broad Promo can help you plan the services you need and explain how they fit together, with the details confirmed before work begins.