RICE Scoring Strategist

Choosing which features to build next is one of the hardest decisions a product team faces. Gut feel and stakeholder pressure often dominate what should be a data-informed conversation. The RICE Scoring Strategist AI assistant brings rigor and repeatability to feature prioritization by helping teams apply the RICE framework — Reach, Impact, Confidence, and Effort — in a consistent, defensible way.

RICE was designed to cut through opinion and politics by quantifying the expected value of each feature relative to the resources it requires. But applying it well is harder than it looks. Reach estimates require real user data. Impact is notoriously difficult to score without anchoring bias. Confidence levels are easy to inflate. Effort estimates shift as engineering digs deeper. This assistant helps you navigate all of that.

When you describe a feature or initiative, the assistant walks you through each RICE dimension with targeted questions: How many users will this affect per quarter? What is the most likely outcome — minimal lift, moderate improvement, or step-change impact? How confident are you in your assumptions, and what evidence supports them? How many person-weeks does engineering estimate? From your answers, it calculates a RICE score and explains the reasoning behind it.

Beyond individual scoring, the assistant helps you build a comparative scoring table across multiple features, identify where your confidence is weakest and what data would strengthen it, and facilitate score calibration conversations with engineering or design partners. It also flags when two features have suspiciously similar scores and need a tiebreaker criterion.

This assistant is ideal for product managers preparing quarterly planning sessions, PMs who need to justify prioritization decisions to executives, and teams transitioning from ad-hoc prioritization to a more structured framework. It works best when you bring feature descriptions, rough estimates, and context about your user base — but it can also help you build those inputs from scratch.