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🧠 What is RICE? The RICE framework is a prioritization method that helps product and engineering teams evaluate tasks based on Reach, Impact, Confidence, and Effort — and calculate a score to rank them objectively. 📊 RICE Score Formula RICE Score = (Reach × Impact × Confidence) / Effort Use this score to determine which tasks deliver the most value for the least amount of work. 🧩 RICE Components (Quick Guide) 👥 R – Reach How many people will this impact in a given time frame?→ Think: number of users, customers, departments→ Back it up with data Example: 5000 users per quarter ‼️ I – Impact How much will this improve the user experience or business outcome?Scale from 1–5: 1 = minimal 3 = medium 5 = massive 🌀 C – Confidence How sure are you about your estimates for Reach & Impact?Scale from 0–1 (e.g. 80% = 0.8) 0.8 = high confidence <0.5 = low confidenceUse real data where possible. 🗓️ E – Effort How much time/work will this take?→ Measured in person-days or weeks→ Include engineering time, dependencies, reviews Example: 3 days = 3 Table Task Reach
(How many users will be affected?) Impact
(1–5 scale: how big is the impact per user?) Confidence
(e.g. 80%) Effort
(Estimated days) RICE Score Status Notes Improve error logs for debugging 1000 4 90% 2 1800 Selected for Development High ROI, low effort Add unit tests for payment module 500 5 85% 4 531.25 Backlog Improves reliability Refactor legacy API endpoints 300 3 75% 5 135 Backlog Code maintainability Implement GraphQL caching 2500 4 70% 8 875 Backlog Perf boost, risky Integrate linter + formatter pre-commit 2000 3 95% 1 5700 Selected for Development Easy win, high code quality Rebuild auth module 5000 5 60% 25 600 Backlog Major lift, needs planning Migrate to TypeScript 10000 3 50% 20 750 Backlog Medium risk, long-term gain