Market Research Brief - Free Template + Examples

Edited and reviewed by Avi Yashchin, CEO and Co-Founder · August 27, 2026

Use the copyable brief and hypothetical example below to state the business decision, population, method, deliverables, timing, budget, and evidence needed for acceptance. Existing guides can also help: FlexMR discusses context and objectives, while Conjointly's guide includes action standards, decision rules, contacts and responsibilities. Their fields can accommodate design and quality requirements; inspect the actual brief rather than assume every template omits validation.

• Start with the business decision and knowledge gap, then ask the agency to propose a suitable evidence path.
• Define whether the result is descriptive, a hypothetical preference, or an intervention effect on observed behavior. A well-written brief cannot establish behavioral validity by itself.
• Specify eligibility verification, duplicate and response-quality checks, exclusion rules, and replacement costs for a recruited study; a universal fraud-discard rate is not established here.
• Add assignment and baseline when the question is causal, and agree on decision-specific validation and acceptance criteria.
• General method benchmarks can inform procurement, but they do not validate the new population or endpoint.

What does a standard market research brief template include?

The seven fields below are a practical starting format, not a universal industry standard. FlexMR separates business and research objectives; Conjointly explicitly asks for action standards and decision rules as well as methodology and responsibilities. Expand the brief to expose the specific design, quality, and evidence risks.

Why isn't a well-scoped brief enough to trust the answer?

Lambooij and colleagues' 2015 Dutch hepatitis-B vaccination study compared DCE-derived uptake predictions with parents' actual decisions about vaccinating newborns. Correspondence was 80%, positive predictive value 85%, and negative predictive value 26%. The negative group was a model-derived classification, not simply respondents saying "no." Predictive values depend on uptake prevalence; the authors caution about the high-uptake setting. These rates do not establish a general pricing or survey error rate.

Use a matched behavioral comparison when actual behavior is the endpoint. A hypothetical preference can still answer a preference question, provided its source and limits are clear.

Why does data quality also belong in the brief?

Require the fielding vendor to describe its recruitment source, identity and eligibility checks, duplicate detection, task-specific quality criteria, exclusions, denominator, and replacement policy. Record when checks occur and who reviews disputed exclusions. A small pilot can expose comprehension and quality problems; a vendor-wide discard percentage cannot predict this study's losses without a comparable source and method.

What should an intervention brief add?

For a causal question, specify the intervention, baseline, eligible population, assignment unit, randomization or other identification assumptions, and endpoint. For example, compare complete billing offers on the stated selection task rather than infer an effect on paid renewal. Discrete choice models, Mixed Logit and ICLV are estimators; identification depends on the design and assumptions, not the estimator's name.

What validation standard should a vendor have to clear before you trust the number?

Set acceptance criteria for the intended use: source fidelity for a description, design and precision for a response contrast, and relevant independent human or behavioral evidence for market transfer. Separate data used to tune the system from held-out validation. The July 2026 working paper reports mean Spearman correlation of .73 on estimated choice-parameter ranks across 43 design-filtered studies. This is not a ceiling-normalized ratio or validation of a new study. The public research record reports aggregate evidence; per-study replication data is not public.

Match the brief to the question

A brief makes requirements reviewable; it does not itself verify that the study meets them. Inspect the data trace, design, analysis and validation before accepting the result.

Copyable seven-field brief

1. Background: current situation, prior evidence, alternatives and constraints.
2. Decision and objective: action, decision owner, knowledge gap and acceptance rule.
3. Population: eligibility, geography, period, source, coverage and subgroup needs.
4. Method and response: source, instrument, assignment/baseline when causal, analysis and validation.
5. Deliverables and review: records, exclusions, estimates, limits, reviewer and failure action.
6. Timeline: decision deadline, design/pretest/fielding/analysis/review milestones and dependencies.
7. Budget: ceiling, scope assumptions, recruitment/generation, review, revisions and optional work.

Hypothetical completed brief

A scheduling-software team is choosing between a $100 monthly offer and a $1,000 annual offer. These amounts, dates and budget are planning assumptions, not a completed study.

Bring the brief, population evidence and intended endpoint to a study review.