Collate Existing Customer Discovery Artefacts and Data
The founder gathers all customer discovery logs, interview transcripts, survey results, and willingness-to-pay signals collected to date into a single structured repository. They map each item of raw data to the specific customer problem or value proposition claim it purports to support. This establishes a clean, auditable inventory of primary and secondary evidence prior to critical evaluation.
Completing this action establishes a centralised, structured inventory of all customer evidence collected across the venture's lifecycle. It ensures the audit covers all relevant data points, preventing selective reporting and creating a solid foundation for objective validation.
The founder must produce a comprehensive inventory log linking every customer transcript, survey response, and landing page metric to specific venture claims. The compiled data room asset must detail original source files, date of collection, and sample sizes without omitting negative or ambiguous data.
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
How have you ensured that unsupportive interview transcripts or drop-off data were not excluded from this evidence pool?
- 2
What proportion of the assembled data represents direct observation of customer behaviour rather than self-reported opinion?
- 3
How clearly can an external reviewer trace a line from your core value proposition claim back to raw source transcripts?
- 4
Which specific customer segments are over-represented or under-represented in the data set you have collated?
- 5
Why did you choose this specific cut-off boundary for relevant customer interactions, and what legacy data was left out?