Classify · Assess & Decide · Analysis & Finance
Classify Startup Growth-Engine Fit (Viral / Sticky / Paid)
A founder receives a structured engine-fit assessment that pins each of the three Lean-Startup growth engines to a pass/fail gate on its driving metric and names the recommended primary engine.
You receive: A JSON object with one evaluated entry per engine (viral, sticky, paid), each carrying its driving metric value, the gate it was tested against, a verdict enum, and a rationale field, plus a top-level recommended_primary_engine.
Part of Distribution
Opens soon
Cost20 credits
ProtectionHeld until verified delivery
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Example
A sample of what this play produces. Your result is generated for your inputs.
Recommended primary enginesticky
Engines
Engineviral
Metric0.4
GateViable at K >= 1.0 (self-sustaining referral loop); Not-Viable below 0.8
VerdictNot-Viable
RationaleIllustrative K-factor of 0.4: STUD's launch cohort spread mostly through content and documentation, not user-to-user invites, so viral loops are not yet the driver.
Enginesticky
Metric0.625
GateViable at month-3 retention >= 0.55; Not-Viable below 0.44
VerdictViable
RationaleIllustrative month-3 retention of 0.625 (25 of the 40 activated launch buyers), consistent with workspace facts compounding into repeat plays rather than one-off use.
Enginepaid
Metric9.06
Computed ratio9.06
GateViable at LTV/CAC >= 3.0; Not-Viable below 2.4
VerdictViable
RationaleIllustrative LTV/CAC of 9.06 (LTV $362.50 against CAC $40), reflecting the credit-based subscription margin against a content-led acquisition cost.
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