---
title: ICE Scoring · The Three-Factor Growth Prioritization Framework | RGM®
url: https://realgrowthmatters.com/learn/frameworks/ice-prioritization-scoring/
updated: 2026-06-10
source_html: https://realgrowthmatters.com/learn/frameworks/ice-prioritization-scoring/
---

**Attribution.** ICE scoring was developed by Sean Ellis (the marketer who coined the term "growth hacker" and led growth at Dropbox, LogMeIn, and Eventbrite). Ellis published the framework via his GrowthHackers community in the 2010s. It is closely related to but distinct from [Intercom's RICE](/learn/frameworks/rice-prioritization-framework/).

## The formula

**ICE Score = Impact × Confidence × Ease**

Each factor is scored 1–10 (or 1–5 in some variants), giving each item a single comparable number.

- **Impact.** How much will this move the metric we care about, if it works?
- **Confidence.** How confident are we that it will work?
- **Ease.** How easy is this to build and run?

Higher scores get prioritized.

## Why it works for growth experimentation

Keep going · Free training

### Measurement & Attribution

Concepts only go so far. Operate them — RGM's measurement training covers GA4 setup, attribution model selection, MMM basics, and incrementality testing. Hands-on, free.

[Start the training →](/training/)

ICE is designed for high-volume A/B test backlogs where you might be evaluating 50–100 candidate experiments and need to decide which 5 to run this sprint. The simplicity is the feature — it takes 30 seconds per item, not 30 minutes.

The 1–10 scales are intentionally informal. The point is relative comparison, not precise estimation. "Is this more impactful than that?" is easier to answer than "how many MRR dollars will this produce?"

## ICE vs RICE

| Aspect | ICE | RICE |
| --- | --- | --- |
| Factors | 3 (Impact, Confidence, Ease) | 4 (Reach, Impact, Confidence, Effort) |
| Scale | 1–10 (or 1–5) | Mixed (absolute reach, 0.25–3 impact scale, % confidence) |
| Best for | High-volume growth experiments | Product roadmap decisions |
| Speed per item | ~30 seconds | ~5–10 minutes |
| Rigor | Lower | Higher |

Use ICE for sprint-level experiment selection. Use RICE for quarter-level product roadmap decisions. They're complementary, not competing.

**The biggest risk with ICE is confidence inflation.** When everything scores 8/8/8, you have a list, not priorities. Force the team to spread scores — what's the 2/10 Impact thing on the list? What's a 9/10 Ease thing that someone could ship in a day?

## Operating ICE on a real backlog

1. Brainstorm without scoring. Generate 50–100 candidate experiments. Quantity first, judgment later.
2. Score in batches. Score 10 items, take a break, calibrate, score the next 10.
3. Sort by score. The top 5–10 are the candidates.
4. Sanity-check the top of the list. Does the team actually believe these are the highest-leverage moves? If not, re-score the suspect ones.
5. Pick the experiments for the sprint. Often 2–3, not all 10.
6. After results, re-score the backlog with new information. Some 8/8/8 ideas become 8/3/8 when you learn confidence was wrong.

### Related on RGM

- [RICE prioritization](/learn/frameworks/rice-prioritization-framework/) — the deeper roadmap counterpart.
- [OKRs](/learn/frameworks/operating-cadence-okrs/) — what experiments roll up into.
- [Growth loops](/learn/frameworks/compounding-growth-systems/) — context for what to score against.

Sources & further reading

1. Ellis, S. (various, 2010–2017). On ICE scoring via GrowthHackers community and personal blog.
2. Ellis, S. & Brown, M. (2017). *Hacking Growth*. Crown Business. (Formal ICE methodology.)
3. GrowthHackers — community discussions and ICE templates.
4. RGM operator notes — ICE applications in growth-team engagements 2023–2026.