Collate Primary Customer Evidence and Operational Inputs
Gather and audit primary interview transcripts, observational notes, and customer workflow data gathered during recent field interactions. Filter out speculative opinions to isolate verified empirical observations of past customer behaviour and spending.
Compiling verified inputs builds an unassailable foundation of evidence for the JTBD framework. This rigor prevents the venture building key commercial decisions on internal bias or unvalidated founder hypotheses.
The founder must present a curated evidence audit log indexing primary research sources across a statistically relevant sample of target users. Unverified assumptions must be explicitly flagged and separated from validated historical data points.
Five questions an expert would ask when reviewing your output
Use these to challenge assumptions, pressure-test your logic, and check the quality of this action's output in the context of the parent task and wider venture development.
- 1
What proportion of your input data comes from observed past customer actions versus stated future intentions?
- 2
How did you address selection bias when choosing interview subjects for this discovery cohort?
- 3
Why do you believe your sample size is sufficient to establish a repeatable pattern in customer jobs?
- 4
How did you filter out customer feature requests to uncover the underlying operational job?
- 5
What contradictory evidence emerged during data collection, and how did you reconcile it?