Gather Core Scenario Inputs and Venture Evidence
Pull together the current financial model, scenario parameters, baseline metrics, and supporting data-room evidence required for the scenario review. Consolidate current assumptions regarding cash burn, pricing, sales velocity, and fundraising timelines into a structured review package. Ensure all underlying files, advisor notes, and operational logs are fully accessible for systematic audit.
Completing this action compiles a single source of truth containing all quantitative inputs and qualitative context required to model venture scenarios. It establishes the baseline data set for the AI scenario review, ensuring subsequent stress-testing is grounded in current operational reality rather than outdated figures.
The founder must deliver an organised data-room folder containing the active financial model, historical cash flow statements, and documented operational metrics. A clear inventory of key scenario variables and underlying evidence sources must be formally recorded.
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 primary data sources validate the baseline burn rate and revenue velocity used in this scenario package?
- 2
How recently were the operational assumptions in this data room updated to reflect actual performance?
- 3
Which key financial inputs currently rely on founder intuition rather than empirical data-room evidence?
- 4
How have you ensured that offline commitments or unwritten advisor feedback are captured in this review file?
- 5
Why is this specific dataset sufficient to run a meaningful scenario audit at this stage of venture maturity?