AI Skills

Design statistically valid A/B tests that produce actionable results

Map AI bets, human-AI boundaries, and flywheels for product strategy decisions

Cluster NPS, support, interviews, and churn data into actionable themes

Plan discovery interviews that collect stories, not opinions

Score account health, flag churn risk, and surface at-risk cohorts.

Map viral, content, and product-led loops and pick the dominant one

Design multi-step email sequences that nurture leads and activate users

Design growth loops, activation flows, and PLG retention strategies

Measure PMF with Sean Ellis, retention curves, and reference customers

Optimize post-signup onboarding to increase activation and time-to-value

Create onboarding programs, kickoff decks, and activation plans.

Design APIs, plan SDK strategy, and build developer marketplaces

Sort the backlog by conviction and impact, defend the cut list with frameworks

Build metric frameworks, cohort analyses, and experimentation plans

Plan launches, coordinate cross-functional teams, and run post-launch retros.

Shape product vision, strategy, roadmaps, and growth plans from context.

Convert self-serve usage into enterprise contracts with PQA triggers.

Cut scope to fit a fixed time appetite using Shape Up, MVP, and Wizard of Oz

Reduce signup drop-off by fixing registration flow friction and copy

Build SLA policies, escalation tiers, and support metric frameworks.

Draft a problem-led PRD with context, success metrics, and scope in minutes

Write Shape Up breadboards, shaping docs, and fat-marker sketches