AI Product Management

I can define, measure, and launch AI products because I understand both product strategy and AI implementation constraints.

PRDICProadmapactivationretentionexperimentationAI UXtrustsafetymodel qualitylaunch readinessGTM

Skill → evidence

Every skill below links to the project(s) that prove it. The portfolio is the evidence.

Problem, ICP, scope, metrics, guardrails, one per project.

Sharp problem statements grounded in a real user job.

Named target segment and the job they're hiring the product for.

Explicit in/out decisions that keep the build shippable.

North star, activation, retention, quality, and guardrail per product.

Hypotheses and success criteria tied to the north star.

Confidence labels, citations, approval gates, audit trails.

Clear reasoning on what was simplified and why.

Opportunity scoring and a credible MVP → V2 path.

How early users are reached and what 'ready' means.