Assemble Empirical Market and Customer Inputs
Collect qualitative interview transcripts, quantitative operational metrics, competitor breakdown notes, and direct observational data from the target segment. Audit existing venture materials to extract all previously recorded claims regarding the customer's problem state.
Synthesising primary data grounds the problem definition in verifiable real-world evidence rather than desk-research assumptions. It provides the empirical backing necessary to defend the problem thesis during investment committee reviews and customer discovery sprints.
A structured repository of primary research data, including logged customer conversations, audited workflow observations, and documented metrics on current workaround costs. All source data must be tagged against specific problem hypotheses.
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
Which of these customer quotes reflect actual past behaviour rather than hypothetical future intentions?
- 2
How have you controlled for confirmation bias in the customer interview transcripts gathered?
- 3
What primary data supports your calculation of the financial loss caused by current alternatives?
- 4
Where are the gaps in your primary evidence where you relied on secondary market reports instead of direct observation?
- 5
How representative are the interviewed stakeholders of the actual economic decision-maker in the target organisation?