Feature Prioritization Assistant
Calculate RICE scores and prioritize features systematically
feature-prioritization-assistant
Calculate RICE scores and prioritize features systematically. Use when building your product roadmap and need to make data-driven prioritization decisions.
When to Use
- Building your product roadmap
- Need to choose between multiple feature ideas
- Stakeholders are debating which features to build first
- Want to make data-driven prioritization decisions
- Need to justify prioritization decisions to leadership
What This Skill Does
Helps you systematically evaluate and prioritize features using the RICE framework (Reach, Impact, Confidence, Effort), providing scores and recommendations.
Instructions
Help me prioritize these features using the RICE framework. For each feature, help me estimate:
- Reach: How many users will this impact per month?
- Impact: How much will this impact each user? (Scale: 0.25=minimal, 0.5=low, 1=medium, 2=high, 3=massive)
- Confidence: How confident are we in our estimates? (Scale: 0-100%)
- Effort: How many person-months will this take to build?
Then calculate the RICE score: (Reach Γ Impact Γ Confidence) / Effort
Features to evaluate: [List your features with any context you have]
Best Practices
- Gather data on current user behavior before estimating Reach
- Base Impact on user research and pain point severity
- Be honest about Confidence levels - lower confidence for assumptions
- Include design, development, and testing time in Effort estimates
- Revisit estimates after initial discovery work
- Consider dependencies between features
Example
Input: 5 features (notifications, dark mode, API access, mobile app, analytics dashboard) Output: RICE scores calculated for each, ranked list with reasoning, recommendations on which to prioritize, and suggestions for validating assumptions on low-c...
Quick Install
Add this skill to your AI assistant in 3 simple steps. No coding required!
Create the skill file
Run this command to create the directory and SKILL.md file:
mkdir -p .claude/skills/feature-prioritization-assistant && touch .claude/skills/feature-prioritization-assistant/SKILL.md
This creates the directory and an empty SKILL.md file.
Open the skill file
Open the SKILL.md file in your favorite editor:
nano .claude/skills/feature-prioritization-assistant/SKILL.md
Or use code .claude/skills/feature-prioritization-assistant/SKILL.md for VS Code
Add the content
Copy the skill content and paste it into the SKILL.md file:
Then save the file. Now you can use the skill by typing /feature-prioritization-assistant in your AI assistant, or it will automatically use it when relevant.
Using a different AI assistant?
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