Audit Existing Data and User Inputs
The founder collects existing user session recordings, customer interview transcripts, analytics logs, and competitor benchmarks. They cross-reference founder assumptions against observed user behaviour to identify where taxonomy definitions are missing or misaligned.
Gathering empirical and qualitative inputs grounds the event structure in real user behaviour rather than theoretical assumptions. It uncovers hidden friction points and ensures telemetry captures real-world usage patterns accurately, reducing technical rework.
A compiled source audit log containing customer quotes, analytics audit notes, and current event schemas. The founder must document at least three discrepancies between assumed user paths and observed 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
Where in your qualitative customer interviews did users describe actions that your current event logs completely fail to capture?
- 2
Why are you relying on founder assumptions for this onboarding step when session recordings are available?
- 3
How did you reconcile conflicting evidence between customer self-reported usage and actual backend log data?
- 4
What external market benchmarks did you use to calibrate your expectation of baseline event frequency?
- 5
Which customer segments were excluded from this initial data audit, and how might that skew your event taxonomy?