Pivot Decision Review
Pivot Decision Review helps the founder or programme team critically review pivot options, learning preserved and decision rationale. Within Customer Discovery, Validation & Evidence, 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.
Critically test the quality, consistency and readiness of Pivot Decision Review. The objective is to remove ambiguity around pivot options, learning preserved and decision rationale, 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 Pivot Decision Review 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.
problem hypothesis; target customer assumptions; existing interviews or evidence; current alternatives; evidence log; existing artefact to review; specific context for pivot options, learning preserved and decision rationale.
The founder compiles all relevant data, customer transcripts, quantitative metrics, and feedback logs collected prior to the pivot trigger. This involves mapping previous business model assumptions directly against the raw discovery findings that challenged them.
ObjectiveCompiling this material creates a centralised, transparent baseline of customer discovery data for critical evaluation. It ensures the pivot decision review is grounded in verified operational facts rather than subjective memory or selective interpretation.
What's expectedThe founder must present a structured data package containing raw customer discovery notes, behavioural analytics, and a mapped timeline of trigger events. Every piece of evidence must be explicitly linked to a core business model hypothesis.
Open action arrow_forwardConsultant stress-test · 5 questions- 1.What specific empirical data triggered the need to review a pivot rather than continuing iterations on the current trajectory?
- 2.How have you audited your discovery evidence to ensure it represents unbiased customer behaviour rather than polite affirmation?
- 3.Which key stakeholder interactions or datapoints were excluded from this evidence dossier, and what was the rationale for omitting them?
- 4.How clear is the lineage between the raw primary research collected and the strategic impasse you face today?
- 5.Where does the assembled evidence expose a fundamental breakdown in your initial customer discovery hypotheses?
- A data-room asset titled Pivot Decision Review
- A review note with a verdict, evidence gaps, risks, recommended corrections and a clear continue / repeat / escalate decision
- It should update the venture DNA with specific evidence or decisions about pivot options, learning preserved and decision rationale, create a visible milestone in the founder journey, and generate one or more recommended next tasks
Bertie co-pilot turns interview notes and customer signals into tagged evidence, detects confirmation bias, scores evidence quality, and recommends validation or MVP tasks. For this task, it should focus on pivot options, learning preserved and decision rationale, 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.