The RICE scoring method is a prioritization framework designed to help product managers decide which features or projects to work on. RICE stands for Reach, Impact, Confidence, and Effort. By evaluating each feature or project based on these four criteria, product teams can make more informed decisions about which initiatives to prioritize.

Components of RICE Scoring

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  • Reach: The number of users who will be affected by the feature or project over a specific time period. A higher reach indicates a larger potential impact on users.
  • Impact: The degree to which the feature or project will positively affect users. This can be measured on a scale of 1 (minimal impact) to 10 (maximum impact).
  • Confidence: A percentage estimate of how confident the team is in their reach and impact assumptions. A higher confidence level indicates greater certainty in the estimates.
  • Effort: The amount of work required to complete the feature or project, measured in person-hours, days, or other suitable units. A lower effort score indicates that the project requires less work to complete.

Calculating RICE Scores

To calculate the RICE score for a feature or project, use the following formula:

RICE Score = (Reach * Impact * Confidence) / Effort

The resulting RICE score is a numerical value that can be used to compare and prioritize features or projects. A higher RICE score indicates a more attractive feature or project to work on.

Using RICE Scores in Decision-Making

When using the RICE scoring method, keep the following best practices in mind:

  • Involve team members in the estimation process to increase accuracy and buy-in.
  • Regularly revisit and update RICE scores as new information becomes available and assumptions change.
  • Use RICE scores as a starting point for discussions, not as the sole decision-making tool.
  • Consider other factors, such as strategic alignment, when making prioritization decisions.