Growth Experiment Framework for SaaS
Prioritization and execution system for growth experiments using ICE Score methodology.
Implement a structured growth hacking experimentation system to test growth hypotheses quickly and measurably.
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Prompt objective
Implement a structured growth hacking experimentation system to test growth hypotheses quickly and measurably.
Real use case
[CRM SaaS], a CRM for SMBs with 800 paying customers and 8%/month churn, needs a framework to rapidly test retention and expansion ideas without wasting resources.
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Prompt
Create a growth experiment framework for [COMPANY NAME], a [CATEGORY] SaaS with [NUMBER] paying customers, MRR of $[AMOUNT], and [%]/month churn rate. **1) Experiment Backlog (generate 15):** For each experiment, fill in: - Experiment name - Hypothesis: "If [action], then [expected result], because [reason]" - Primary metric affected - ICE Score: Impact (1-10) × Confidence (1-10) × Ease (1-10) - Category: Acquisition / Activation / Retention / Revenue / Referral (AARRR) **2) Experiment Template (for top 5 by ICE score):** - Current baseline of the metric - Experiment target - Audience/sample (% of user base) - Minimum duration for statistical significance - Implementation (technical step-by-step) - Required tools - Success/failure criteria **3) Sprint Process:** - Cadence: weekly or biweekly? - Prioritization meeting (who participates, format) - Results documentation - Decision: Scale / Iterate / Kill **4) Growth Dashboard:** - Recommended North Star Metric - AARRR metrics with targets - Experiment tracking (running, completed, results) Focus on low-cost experiments applicable to the SaaS market in [TARGET REGION/MARKET].
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