Feature Prioritization with RICE Scoring

I need to prioritize the following product features using the RICE scoring framework.

Features to evaluate: {{features}}

Product context: {{context}} Target users: {{users}}

For each feature, score:

• Reach — How many users will this affect per quarter? (estimate a number)
• Impact — How much will it move the needle? (3=massive, 2=high, 1=medium, 0.5=low, 0.25=minimal)
• Confidence — How confident are you in these estimates? (100%=high, 80%=medium, 50%=low)
• Effort — Person-months to implement (lower = better)

Calculate: RICE Score = (Reach x Impact x Confidence) / Effort

Present results as:

1. A ranked table with all scores
2. A "quick wins" section (high score, low effort)
3. A "big bets" section (high impact but high effort)
4. Features you'd recommend cutting or deferring, with reasoning