ai-pm-maturity-assessment

Assess PM AI maturity by scoring 12 lifecycle phases on a 0–5 scale using an evidence-based rubric. The evaluation consumes workspace artifacts, prompts, and outputs to surface strengths, gaps, and next steps for AI governance.

An evidence-based AI maturity rubric evaluates PM AI adoption by analyzing workspace artifacts like prompts and docs. It generates a composite score and phase-by-phase breakdown to guide investment and governance decisions.

You can apply configurable weights to the PM AI maturity assessment. This allows you to tailor the 0–5 scoring rubric across the 12 lifecycle phases based on your specific governance and investment priorities.

Generate an AI adoption governance report by running the maturity assessment across your workspace. It consumes existing prompts and documents to return a formatted composite score, phase breakdown, and actionable next steps.

Benchmark PM AI adoption by applying an evaluation rubric to your existing workspace docs and outputs. This produces a decision-ready maturity score that identifies strengths and gaps across all 12 product lifecycle phases.