Feature Prioritization Tool
Prioritize your product backlog with the RICE framework. Score features by reach, impact, confidence, and effort to decide what to build first.
| Feature | Reach / qtr | Impact | Confidence | Effort (mo) | RICE | |
|---|---|---|---|---|---|---|
| 640 | ||||||
| 500 | ||||||
| 150 |
Prioritized order
One-click onboarding
640Stripe billing
500Dark mode
150How this feature prioritization tool works
RICE is a scoring framework that ranks features by their expected value per unit of effort, so you build the things with the highest payoff first. Each feature gets four numbers: Reach (how many people it affects in a period), Impact (how much it moves the needle for each of them), Confidence (how sure you are of your reach and impact estimates), and Effort (the person-months of work it takes).
The RICE score is Reach × Impact × Confidence ÷ Effort. Multiplying the first three captures total expected benefit, and dividing by effort rewards quick wins over expensive bets. Sorting by that score gives you a defensible, bias-resistant order for your roadmap — and a shared language for saying no to low-value work.
- Reach is measured over a consistent period (e.g. users affected per quarter).
- Impact uses the standard RICE scale: 3 = massive, 2 = high, 1 = medium, 0.5 = low, 0.25 = minimal.
- Confidence discounts optimistic estimates: 100%, 80%, or 50%.
- Effort is in person-months; keep the unit consistent across all features.
Feature Prioritization Tool — frequently asked questions
What is RICE prioritization?
RICE is a product-prioritization framework that scores each feature by Reach, Impact, Confidence, and Effort. The score — Reach × Impact × Confidence ÷ Effort — estimates value per unit of work, letting teams rank a backlog objectively instead of by gut feel or the loudest voice in the room.
How do I estimate reach and impact?
Reach is the number of users or events a feature affects in a set period — pull it from analytics where you can. Impact is qualitative, mapped to the standard scale (massive to minimal). It's fine for these to be estimates; the Confidence factor exists precisely to discount numbers you're unsure about.
When should I use RICE versus another framework?
RICE shines when you have many features and need a transparent, quantitative ranking. For quick, coarse sorting, MoSCoW (Must/Should/Could/Won't) or a simple value-vs-effort 2×2 is faster. Many teams use a value-vs-effort matrix to shortlist, then RICE to order the shortlist.
Does a higher RICE score always mean build it first?
It's a strong signal, not a hard rule. RICE doesn't capture dependencies, strategic bets, or table-stakes work you must do regardless of score. Use it to inform the conversation and surface surprises, then apply judgement for the final roadmap.
Want an exact number, not an estimate?
Tell us about your project and CodersArts Build will scope it into a fixed price and timeline — usually within a day.