Extract Existing Customer and Channel Intelligence
Compile all available internal and external data points, including web analytics, inbound message logs, search intent data, competitor waitlists, and customer interaction notes. Audit these inputs to ensure they reflect actual buyer actions rather than hypothetical intent.
Aggregating empirical customer interaction data creates a rigorous foundation of facts for the evidence scan. It ensures the resulting assessment relies on concrete behaviour rather than internal optimism or unverified assumptions.
A compiled data ledger featuring raw data feeds, interaction logs, search volume trends, and inbound enquiry records. The founder must demonstrate data hygiene by categorising inputs by source reliability and recency.
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 gathered data reflects actual financial or operational commitments rather than non-binding statements?
- 2
How recently was this market pull data captured, and does it reflect current macroeconomic conditions?
- 3
Where are the critical missing data points in your current evidence base, and how will you address these gaps?
- 4
How have you verified that inbound search volume or queries represent ready-to-buy intent rather than educational research?
- 5
What steps were taken to ensure the collected customer feedback was gathered without leading questions?