Prompt Details
Model
(r1)
Token size
255
Example input
[ENTITY]: B2B SaaS with high month-3 churn despite strong onboarding
[CONSTRAINT]: cannot increase headcount or marketing budget
[METRIC]: increase customer LTV beyond 6 months
Example output
Technical Memo: Forensic Business Model Autopsy – High Month-3 Churn in B2B SaaS
Step 1: Architectural Flaw Isolation
Thesis: The product delivers a finite, one-time value milestone within the first 90 days (e.g., data migration, initial configuration, or a project completion). Onboarding is strong—customers successfully achieve this milestone—but the subscription model assumes infinite recurring need. The structural flaw is a solution horizon mismatch: value decays to zero after month 3, leaving no reason to renew.
Step 2: Constraint-Centric Pivot Design (No headcount or marketing budget increase)
Pivot Mechanism Leading Indicator (Week 1)
Pivot A – Recurring Value Triggers Auto-generate “next problem” prompts based on usage data (e.g., “You resolved X – now try Y to prevent Z”). Uses existing product logic. % of active customers who click a “suggested next action” in-app.
Pivot B – Milestone-Locked Renewal Replace simple subscription with a quarterly automated Business Review that conditions renewal on achieving a new, pre-defined outcome. No human touch; self-serve dashboard. Number of customers who complete the automated QBR review and set a next-period goal.
Step 3: Metric Validation (Increase customer LTV beyond 6 months)
· Pivot A: Extends value horizon by creating sequential, interdependent problems to solve. Direction: Month-3 churn decreases by ≥30% relative baseline. Timeframe: 2 months to see statistically significant LTV improvement.
· Pivot B: Forces explicit recommitment and exposes new value levers before churn window. Direction: 6-month retention lifts by ≥20 percentage points. Timeframe: 3 months (first renewal cycle post-change).
Step 4: Immediate Halt Recommendation
Stop all feature development aimed at acquisition or onboarding enhancement (e.g., new user tutorials, signup flows, or trial optimizations). These are already strong and consume resources that must be redirected to retention loops.
Step 5: Historical Analogy
Atlassian (Jira) – Early Jira saw high churn after a single software project ended (finite value). Without increasing headcount or marketing, they pivoted to add agile boards, sprints, and recurring issue templates, creating perpetual planning cycles. Result: extended LTV from ~3 months to multi-year renewals.
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R1
A forensic business prompt for DeepSeek-R1. This protocol performs a step-by-step logical autopsy of a failing business model, identifying hidden architectural flaws and generating precise, non-obvious pivot strategies. Optimized for DeepSeek's advanced chain-of-thought reasoning.
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Added 2 weeks ago
