Prioritization

RICE Prioritization · Scoring What to Build Next

The four-factor scoring model (Reach × Impact × Confidence ÷ Effort) developed by Intercom to compare product and growth bets on a single numeric scale. How it works, when it fails, and our operator-side adjustments.

Original concept & attribution. RICE was developed and published by Sean McBride at Intercom in 2016 as an internal scoring model for prioritizing product roadmap bets. Intercom published the framework openly and it has since become standard in product management. This article reviews the model and adds the gotchas we've seen in practice.

The formula

RICE scores each candidate initiative on four factors and combines them into a single number:

RICE Score = (Reach × Impact × Confidence) ÷ Effort

Higher scores get priority. Lower scores get cut or deferred.

Why it works

Most prioritization conversations devolve into HiPPO (highest-paid person's opinion) or politics. RICE forces a structured argument: every initiative needs explicit numbers for each factor. The math reveals trade-offs that intuition hides — a high-impact, low-reach initiative often loses to a medium-impact, high-reach one once you do the math.

It also forces explicit confidence. If your team can't agree on whether something is 50% or 80% confidence, that's itself a signal — go research the question before you build.

Where RICE breaks

The framework assumes you can estimate the four factors. For exploratory bets, novel features, or strategic moves with second-order consequences, the estimates are guesses dressed up in numbers.

It also weights short-term thinking. Effort is in the denominator, so multi-quarter foundational work always scores worse than quick wins. Teams that run RICE strictly end up over-investing in optimization and under-investing in platform.

RGM operator perspective. We use RICE for tactical roadmap decisions inside a quarter. We do not use it for strategic decisions across quarters. Long-horizon strategic work needs its own frame.

The operator-side adjustments

Separate strategic bets from optimization. Don't score them against each other. Run RICE inside the optimization track only. Strategic bets get their own conversation.

Use confidence honestly. A 100% confidence score should be rare. Most well-researched initiatives are 70–80% confidence at best. When everything is 100%, the team is gaming the score.

Re-score quarterly. Initiatives that scored well in Q1 might score differently in Q3 because the world changed. Treat scores as snapshot, not permanent.

Alternatives worth knowing

ICE Scoring (Sean Ellis): Impact × Confidence × Ease, all on 1–10 scales. Simpler than RICE, useful for high-volume A/B test backlogs.

PIE: Potential × Importance × Ease. Used in CRO contexts (Bryan Eisenberg).

Weighted shortest job first (WSJF): From SAFe (Scaled Agile Framework). Cost of delay ÷ job size.

Kano model: Categorizes features as basic, performance, or delighters. Less score-driven, more strategic.

Related on RGM

Sources & further reading
  1. McBride, S. (2016). RICE: Simple Prioritization for Product Managers. Intercom blog. intercom.com/blog/rice-simple-prioritization-for-product-managers
  2. Ellis, S. (various). On ICE scoring methodology — referenced in Hacking Growth (2017).
  3. Eisenberg, B. PIE framework — origin in Future Now / Buyer Legends work.
  4. Leffingwell, D. SAFe documentation on WSJF.
  5. RGM operator notes 2023–2026.