Product Usage Event Taxonomy
Product Usage Event Taxonomy helps the founder or programme team map and structure usage events, activation signals, retention metrics and product learning. Within Product, MVP & Technology Development, it turns a broad or uncertain area of the venture into a concrete Bertie work product that can be reviewed, improved and reused. The task is intentionally discrete: it should produce a specific artefact, decision, evidence item or risk signal rather than general learning notes.
Create a structured, reusable map or index for Product Usage Event Taxonomy. The objective is to remove ambiguity around usage events, activation signals, retention metrics and product learning, give the founder a decision-ready output, and make it clear whether the venture should progress, repeat the task with stronger evidence, escalate to expert support, or move into a linked stage.
Bertie or a programme manager assigns Product Usage Event Taxonomy when the venture needs a decision-ready output for this group. Typical triggers include group-gate reviews, evidence gaps identified by the co-pilot or founder request.
validated problem evidence; target user; solution concept; technical constraints; current product artefacts; source information to structure; specific context for usage events, activation signals, retention metrics and product learning.
The founder specifies the exact digital touchpoints, user journeys, or features to be tracked within the taxonomy. They articulate the precise commercial or product decision that this tracking data must inform, such as feature deprecation, paywall timing, or onboarding redesign.
ObjectiveEstablishing this scope clarifies exactly why telemetric data is being collected and prevents tracking bloat. It ensures the taxonomy is built backwards from key strategic decisions rather than forwards from vanity metrics, maximising venture speed.
What's expectedA written scope document identifying the boundaries of the MVP or product area to be tracked. It must include a declared strategic hypothesis and a clear decision rule tied directly to telemetry outcomes.
Open action arrow_forwardConsultant stress-test · 5 questions- 1.What specific commercial decision will instantly fail if this telemetry data is inaccurate?
- 2.Why did you include secondary feature interactions in this scope before validating the core conversion bottleneck?
- 3.How does your definition of the tracking boundary align with your current engineering capacity to maintain analytics code?
- 4.What evidence proves that this boundary captures the critical value exchange for the user rather than internal process steps?
- 5.If this taxonomy only answers one key question about user behaviour this quarter, which question must that be?
- A data-room asset titled Product Usage Event Taxonomy
- A structured map, register, dashboard or index that can be reused by founders, mentors, programme managers and investors
- It should update the venture DNA with specific evidence or decisions about usage events, activation signals, retention metrics and product learning, create a visible milestone in the founder journey, and generate one or more recommended next tasks
Bertie co-pilot links product choices to customer evidence, flags unsupported features or technical risk, drafts product artefacts, and recommends build, test or compliance tasks. For this task, it should focus on usage events, activation signals, retention metrics and product learning, prompt the founder for missing inputs, draft or improve the output, flag weak assumptions, and record the result back into the relevant data-room section.
A mentor or evaluator can review the output at the group gate. Programme managers can require an advisor checkpoint before Bertie moves the venture forward.