RICE Feature Prioritizer FAQs

Question 1

Does this skill require specific CSV headers?

Accepted Answer

Yes, your CSV should include headers for feature, reach, impact, confidence, and effort to ensure the scoring algorithm functions correctly.

Question 2

How do I provide feature data to the skill?

Accepted Answer

You can provide a CSV file containing columns for the feature name, reach, impact, confidence, and effort. Claude will then process this file and return the ranked results.

Question 3

What output formats are supported?

Accepted Answer

The RICE skill supports multiple output formats including standard text tables, JSON for programmatic use, and CSV for spreadsheet integration.

Question 4

Can I limit the number of features based on my team's resources?

Accepted Answer

Yes, by using the --capacity flag, you can define a total effort limit, and the skill will identify the highest-priority features that fit within that budget.

Question 5

What is RICE scoring?

Accepted Answer

RICE is a prioritization framework standing for Reach, Impact, Confidence, and Effort, used to rank features objectively based on their potential value versus cost.

RICE Feature Prioritizer

Key Features

Use Cases

RICE Feature Prioritizer

Key Features

Use Cases