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- Feature Priority Engine — Decide What to Build Next
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Feature Priority Engine — Decide What to Build Next
Prioritize product work through outcomes, evidence, dependencies, finite capacity and transparent tradeoffs rather than arbitrary scores or request volume.
$9.99
Feature Priority Engine — Decide What to Build Next
Example session with this skill installed
Illustrative scenario: Product outcome is reliable checkout. Candidate A is a documented checkout error fix; candidate B is a dashboard redesign requested by one stakeholder. Engineering estimates and customer-impact counts are unknown. Explain provisional states and what to learn before committing.
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- Compiled the feature priority engine
Outcome: Reliable checkout. No capacity, impact counts or effort estimates supplied.
A — Checkout error fix: Evidence state documented problem, but frequency, severity, affected users and root cause are unknown. Provisional state: Needs estimate and impact validation; assess whether it meets an urgent reliability or contractual obligation. Do not fabricate a priority score.
B — Dashboard redesign: Evidence of one request, not proof that the proposed solution solves a customer problem. Provisional state: Needs discovery. Clarify user job, current pain and connection to strategic outcomes.
Sequence proposal: Investigate the checkout defect first because it directly relates to the supplied outcome; this is a provisional judgment, not a committed delivery order. Mandatory risk findings could change urgency.
Evidence plan: A—reproduce issue, measure actual scope, assess workaround and obtain engineering range. B—validate problem with legitimate user evidence and explore smaller solutions.
Capacity and dependencies: Confirm available team capacity, existing commitments, technical dependencies and operational readiness before scheduling. Unknown values stay unknown.
Decision log: A advanced to investigation; B held for discovery; rationale is outcome alignment and evidence difference. Owner approval, review date and commitments remain pending.
Review triggers: New impact evidence, confirmed mandatory risk, estimates or changed strategy.
Execution: Prioritization brief only. No tickets changed, roadmap committed, score invented or delivery guaranteed.
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About this skill
Feature Priority Engine helps product and engineering teams turn competing demands into defensible sequencing choices. It connects work to customer problems and strategy, inventories evidence and obligations, and evaluates impact, uncertainty, effort, risk and dependencies without inventing numbers.
The skill chooses suitable prioritization lenses, distinguishes discovery from ready work, balances portfolio horizons and records selected, deferred or rejected decisions with review triggers. Mandatory safety, security, accessibility or contractual work can supersede ordinary scoring; technical debt is evaluated for real product effects.
Works in ChatGPT and Claude with supplied backlog and constraints. Scores support judgment rather than replace it. No revenue, delivery dates, capacity or ROI are fabricated or guaranteed; roadmap commitments remain with authorized owners.
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