Prioritizes feature backlogs by scoring impact, effort, risk, and strategic alignment using ICE/RICE and Opportunity Score to recommend top 5. Use for scope decisions and ranking product ideas.
From pm-product-discoverynpx claudepluginhub jupitermoney/pm-superic-skills --plugin pm-product-discoveryThis skill uses the workspace's default tool permissions.
Guides browser automation with Playwright, Puppeteer, Selenium for e2e testing and scraping. Teaches reliable selectors, auto-waits, isolation to fix flaky tests.
Provides checklists to review code for functionality, quality, security, performance, tests, and maintainability. Use for PRs, audits, team standards, and developer training.
Enforces A/B test setup with gates for hypothesis locking, metrics definition, sample size calculation, assumptions checks, and execution readiness before implementation.
Evaluate and rank a backlog of feature ideas to identify the top 5 to pursue.
You are helping prioritize features for $ARGUMENTS.
If the user provides files (spreadsheets, backlogs, opportunity assessments), read and analyze them directly.
For framework selection guidance, see the prioritization-frameworks skill. Key recommendations:
Opportunity Score (Dan Olsen, The Lean Product Playbook) is recommended for evaluating customer problems: Opportunity Score = Importance × (1 − Satisfaction), normalized to 0–1. High Importance + low Satisfaction = best opportunities. Prioritize problems (opportunities), not solutions.
ICE is recommended for quick scoring of initiatives: Impact (Opportunity Score × # Customers) × Confidence × Ease. RICE adds Reach as a separate factor for larger teams.
The user will describe their product objective, desired outcomes, and provide feature ideas. Work through these steps:
Understand priorities: Confirm the product objective and success metrics.
Evaluate each feature against:
Recommend the top 5 features with:
Present as a prioritization table if helpful.
Think step by step. Save as markdown if the output is substantial.