The RICE Analysis method is a prioritization framework that helps product managers determine which products, features, and other initiatives to put on their roadmaps by scoring them according to four factors:

  • reach,
  • impact,
  • confidence, and
  • effort

Reach refers to the number of people the project will affect within a given period.
Impact refers to the level of impact that the project will have on the company or customers.
Confidence refers to the level of confidence the team has in its ability to execute the project.
Effort refers to the number of resources required to complete the project.


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The RICE Analysis method is best used to evaluate product ideas, projects, updates, and enhancements.

The three main reasons for using the RICE Analysis method are:

  1. Encourages data-informed prioritization.
  2. Takes emotion and opinions out of the prioritization and estimation discussions.
  3. Categorical flexibility.
RICE Method


The RICE Analysis method, however, has a few drawbacks to consider:

  • It relies on accurate estimates and assumptions; if these are not accurate, the final RICE score may not be accurate.
  • It does not take into account the interdependence of features. A feature that may be a low priority on its own may become a high priority when combined with other features.
  • The RICE Analysis method does not take into account the long-term benefits of a feature. A feature that may not provide immediate benefits may provide long-term benefits that are not captured by the RICE score.

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