Collect and Standardise Venture Data Inputs
Gather raw venture data, validation artefacts, financial burn rates, and customer traction logs alongside anonymised cohort datasets. Standardise these data points to ensure fair, like-for-like comparative analysis across all programme metrics.
Collecting standardised inputs provides an unvarnished dataset necessary for rigorous comparative analysis. It prevents false assumptions based on incomplete or non-standardised venture metrics, maximising the accuracy of the final artefact.
A complete data repository containing verified venture metrics formatted into standardised evaluation templates. The founder must provide underlying evidence artefacts for every claimed data point.
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 steps have you taken to verify the accuracy and currency of the internal venture inputs gathered?
- 2
How have you adjusted raw performance data to ensure direct comparability with cohort benchmarks?
- 3
Which critical data points are currently missing or reliant on unverified founder assumptions?
- 4
How do your unit economics data compare against the broader cohort's cost structure assumptions?
- 5
What primary source documentation backs up your claimed customer acquisition and retention figures?