What problem does it solve?
Finds the fastest, most capital-efficient paths to acquire and retain users by diagnosing funnel leaks, designing prioritized experiments, and building scalable referral or viral mechanics. It reduces guesswork and HiPPO-driven decisions by turning growth ideas into measurable, repeatable tests with statistical rigor.
Core Features & Use Cases
- Growth audits & AARRR mapping: Diagnose acquisition, activation, retention, referral, and revenue leaks and recommend a single prioritized sprint focus.
- Experiment design & prioritisation: ICE scoring, hypothesis templates, sample size guidance, guardrail metrics, and runbooks for A/B and holdout tests.
- Channel playbooks & referral design: Tactics and evaluation frameworks for SEO, paid, product-led growth, partnerships, community, and referral k-factor optimisation.
- Statistical rigor & decision rules: Pre-experiment checklists, stopping rules, significance thresholds, and interpretation guidance to avoid false positives.
- Use case example: For a B2B SaaS at 500 users and $20k MRR, produce a funnel diagram, top three leaks by user volume, and three ICE-scored experiments with sample sizes and expected impact.
Quick Start
Run a growth audit of my product and recommend the top three experiments with ICE scores, sample sizes, and the primary metric to track.