prioritize
The prioritize command helps product managers rank backlog items using context-appropriate frameworks that incorporate financial metrics, strategic alignment, channel quality, and pricing implications. Use it when deciding which initiatives to pursue next, as it systematically evaluates feature ROI, distinguishes reversible decisions from irreversible ones, and surfaces confidence levels and key assumptions underlying each ranking recommendation.
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/deanpeters/Product-Manager-Skills/HEAD/commands/prioritize.md -o ~/.claude/commands/prioritize.mdprioritize.md
# /prioritize Prioritize initiatives with context-aware financial and strategic rigor. ## Invocation ```text /prioritize Q2 backlog for activation, retention, and pricing experiments ``` ## Workflow 1. Choose the right framework with `prioritization-advisor`. 2. Evaluate feature-level returns using `feature-investment-advisor`. 3. Factor channel quality via `acquisition-channel-advisor`. 4. Assess pricing implications using `finance-based-pricing-advisor`. 5. Capture final recommendation in `recommendation-canvas`. ## Checkpoints - Separate reversible from irreversible decisions. - Identify assumptions that could flip ranking outcomes. - Call out confidence level for each ranking decision. ## Next Steps - Run `/discover` for top risky bets. - Run `/plan-roadmap` for approved initiatives.
Evaluate acquisition channels using unit economics, customer quality, and scalability. Use when deciding whether to scale, test, or kill a growth channel.
Design multi-agent AI workflows with clear boundaries, handoffs, and monitoring. Use when a complex PM task should run as parallel specialized agents instead of one linear process.
Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build.
Understand the PM-to-Director transition through altitude and horizon thinking. Use when diagnosing scope, time-horizon, or leadership-level gaps.
Map evidence-backed growth options across the Ansoff Matrix with risk-rated sequencing. Use when the question is where the next tranche of growth comes from, and at what risk.
The protocol behind every investigation skill. Use when AI research must proceed without you: search-plan gate, Fact/Inference/Assumption labels, confidence stacking, diffable outputs.
Research and draft a competitive battle card from public evidence — every claim labeled and sourced. Use when a rep needs a field-action card, not a research report.
Diagnose SaaS business health across growth, retention, efficiency, and capital. Use when preparing a business review or prioritizing urgent fixes.