Updated: 31 October 2026

Prioritise features with RICE scoring

This prompt scores a list of features with RICE. It asks for any missing numbers, then builds a table with a score for each feature and ranks them.

text-feature-prioritisation — chatgpt — 51 words

Help me prioritise these features using RICE (Reach, Impact, Confidence, Effort):

[LIST OF FEATURES]

Context: [USERS, GOALS, TEAM SIZE]

Ask for any missing numbers, then build a table with a score for each feature, rank them, flag the ones where confidence is low and suggest what evidence would change the order.

Edit in the builder Copy & open ChatGPT ↗Copy & open Gemini ↗Copy & open Claude ↗

Score as a group; disagreements about Reach or Confidence teach you the most.

Get a better result

What you will get

Questions for any missing numbers, then a RICE table with Reach, Impact, Confidence, Effort and a score for each feature, a ranking, flags where confidence is low and the evidence that would change the order.

Why it works

Prioritisation fights usually come from hidden assumptions. RICE makes them visible by splitting each feature into reach, impact, confidence and effort. The prompt asks the AI to collect missing numbers before scoring, and to flag low-confidence items, so the ranking shows where you are guessing.

Common mistake

The AI fills in Reach and Effort with guesses.

Fix: The prompt tells it to ask first. Answer with real usage numbers and your team’s estimate in weeks.

Also watch for

Impact scores are all high. Use a fixed scale, such as 0.25, 0.5, 1, 2, 3, and ask it to justify any 3.
The ranking is treated as final. RICE is a conversation starter. Look at the low-confidence flags and decide what to learn first.

Try a variation: simpler scoring

For a small team, ask for an impact versus effort grid instead, with each feature placed in one of four boxes and a one-line reason.

Still not right? Reply with this

Here are the missing numbers: [ANSWERS]. Rebuild the table, then show how the top three change if every confidence score drops by 20 percent.