Primary Data Collection Gate (Delivery)

Primary Data Collection Gate (Delivery)

1. 01

   Write the decision the research must support before choosing any collection format

   Name the specific client decision (pricing page rewrite, campaign audience cut, onboarding flow change) and the threshold that would change the recommendation. A study without a decision attached becomes a slide nobody acts on.

2. 02

   Cap the instrument at 12 questions and pilot it with three people outside the account team

   Conversational builders like Typeform make it easy to keep adding branches. Watch where pilot respondents hesitate or backtrack, then cut those items rather than rewording them.

3. 03

   Pair every self-reported claim with one behavioral signal from the same audience

   Session recordings, scroll depth, or funnel drop-off data give you the observed counterpart to stated preference. When the two disagree, the behavioral read usually wins and the gap itself is the finding.

4. 04

   Set the sample floor and the stop rule in writing before launch

   For a single client segment, 100 to 150 completes is a workable floor for directional reads; below 30, report themes only and label them as such. Write down the date you stop collecting regardless of count.

5. 05

   Screen out respondents who cannot describe a recent, specific instance of the behavior

   Ask for the last time they did the thing and what triggered it. Vague answers signal a hypothetical respondent whose input will inflate confidence without adding evidence.

6. 06

   Log the collection method, field dates, sample size, and known bias for each study in one shared register

   This register becomes the appendix that lets a retainer client or a new account lead trace any number back to its origin six months later.

7. 07

   Route raw responses to a second reviewer before any finding reaches a client deck

   The reviewer checks that each stated conclusion is supported by at least two independent data points, one of which is behavioral.