prioritize-features

To prioritize a product backlog, score feature ideas by impact, effort, risk, and strategic fit. This produces a focused shortlist of the top five initiatives for development, removing subjectivity from your scope decisions.

Ranking feature ideas by impact and effort involves evaluating each item against your product objectives. You can apply frameworks like ICE, Opportunity Score, or RICE if customer data is available to generate a ranked recommendation.

Yes, you can score features from a spreadsheet using ICE or RICE frameworks. The analysis reads supplied backlogs and opportunity assessments to ground recommendations in your provided data.

Selecting the top 5 features from a large backlog requires evaluating each idea against a clear product objective. The process returns a ranked list explaining trade-offs, key assumptions, estimated effort, and what was deprioritized.

Yes, feature prioritization works for increasing user retention. By providing a clear objective like moving retention from 18% to 28%, features are scored by strategic alignment to output a focused top 5 recommendation.

To prioritize features and assess opportunity score, you need a clear product objective, desired outcomes, feature descriptions, and optional supporting files like spreadsheets or customer usage data to evaluate impact and effort.