RICE / ICE Methods: Reach, Impact, Confidence, Effort
- RICE: Simple Prioritization for Product Managers
Sean introduces a rigorous scoring system that uses predicted reach, impact, confidence, and effort. The 4 inputs can then be combined into a single score to rank roadmap ideas.
- Evidence Scores — the Acid Test of Your Ideas
Itamar dives deep into how to calculate a confidence score, by looking at various forms of evidence: anecdotes, market data, user evidence, test results, and launch data.
- Ruthless Prioritization
Brandon's prioritization framework focuses on the I and E in RICE - impact and effort, which can be divided by one another to produce ROI. After ROI is calculated, constraints like dependencies, timelines, and team composition can be applied. Brandon also describes how small items (like bugs) are too high in volume to run a rigorous process, so they should receive quick and sometimes chaotic analyses.
Balancing Multiple Priorities & Inputs
- Guide to Product Planning: Three Feature Buckets
Adam describes a problem with using a single formula for prioritization: customer delight can be forgotten. The solution? Categorize, and ship, using 3 buckets: metrics movers, customer requests, and delight.
- GitLab Company Handbook: Our Product Prioritization Process
This is GitLab's internal prioritization process. They reference RICE, but also reference factors that are appropriate for their business, including security fixes, data-loss prevention, and availability.
- Comparing Apples and Oranges: A New Prioritization Framework for Product Managers
Tomer explains how using a single metric to stack-rank is unrealistic. He explains how to create buckets for Neat, WOW!, Must-Haves, and Who Cares?