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Free feature request template with structured sections for problem definition, proposed solution, priority scoring, and impact analysis.
. Standardize how your team evaluates new features.
Stop building features nobody asked for. Use this template to evaluate, prioritize, and track feature requests with a consistent, data-driven framework.
A clear, concise summary of the feature request.
Pro tip: A good feature title is searchable and unambiguous. 'Add CSV export to reports' beats 'Make reports better.' Future you will thank present you.
Define the problem this feature solves — start with why, not what.
Pro tip: Features without clear problems are solutions looking for problems. If you cannot articulate the pain, the feature probably does not deserve prioritization.
Describe the ideal solution and how it should work.
Pro tip: Include 2-3 alternative approaches with trade-offs. This shows you have thought it through and gives the engineering team options to evaluate.
Evaluate this feature using a consistent framework.
Pro tip: Use RICE scoring (Reach, Impact, Confidence, Effort) consistently across all features. It removes emotion from prioritization and creates a defensible decision framework.
Assess the broader implications of building this feature.
Pro tip: Define success metrics BEFORE building. If you cannot measure the impact, you cannot prove the feature was worth the investment.
Technical considerations for the engineering team.
Pro tip: Product and engineering should fill this section together. A rough technical estimate early prevents scope surprises during sprint planning.
Track the lifecycle of this feature request.
Pro tip: Always close the loop with requesters, even on rejected features. Explaining why builds trust and encourages future high-quality submissions.
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Use RICE scoring: Reach times Impact times Confidence divided by Effort. This creates a consistent, defensible framework that removes emotion from prioritization. Review the backlog monthly and close stale requests to keep it manageable.
A good feature request includes a clear problem statement with supporting data, proposed solution with alternative approaches, priority scoring using RICE framework, impact analysis across users and revenue and technical debt, and defined success metrics.
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