ICE Scoring
ICE Scoring is a lightweight prioritisation framework popularised by growth practitioner Sean Ellis, creator of the 'growth hacking' concept, as a fast tool for scoring and ranking experiments and initiatives. ICE stands for Impact (how much will this move the target metric if it works?), Confidence (how sure are you that this will actually work?), and Ease (how easy is this to implement — the inverse of effort?). Each factor is scored on a 1–10 scale, and the ICE score is the simple average: (Impact + Confidence + Ease) ÷ 3. The formula deliberately keeps all three factors equally weighted and uses an arithmetic average rather than multiplication, making it more resistant to extreme outliers than RICE. ICE was designed specifically for high-velocity growth teams running many experiments in parallel — contexts where the cost of over-analysing a decision exceeds the cost of occasionally betting on the wrong experiment. Its primary virtue is speed: an experienced team can score 20–30 items in 30 minutes, dramatically faster than RICE or weighted scoring models. In a workshop context, ICE is used for rapid triage of experiment backlogs, sprint planning, and filtering a large list of options to a manageable shortlist before applying more rigorous analysis.
Copione di facilitazione
- 1
Frame the session: name the single target metric all items are meant to move and display the candidate list with a one-line description each. Explain the three factors and their 1–10 anchors — Impact ('if it works exactly as intended, how far does the metric move?'), Confidence ('what evidence says it will work?'), Ease ('how easy to implement, the inverse of effort'). State clearly: 'We're shortlisting, not committing.'
7 min - 2
Score Impact in silence. Everyone enters a 1–10 for each item in their own column of the shared sheet, no discussion. Keep the pace brisk — first instincts are usually right, and precision beyond a point or two is false anyway.
8 min - 3
Score Confidence in silence. Prompt: 'Score 10 if prior data or results prove it, 1 if it's pure speculation.' Ask people to flag any item they score below 4 — those are candidates for cheap validation experiments rather than full builds.
8 min - 4
Score Ease in silence. Remind the group to calibrate against what actually shipped last quarter, not optimistic sprint estimates: 10 means it could be done today with no dependencies, 1 means many months of work.
8 min - 5
Reveal all scores, compute (Impact + Confidence + Ease) ÷ 3, and sort descending. Discuss only the items where individual scores diverge by four or more points — that divergence means people hold different information, and a two-minute exchange usually resolves it.
8 min - 6
Calibrate the top of the list against strategic intent: ICE tends to float quick wins above important hard things, so ask 'does this order reflect what we actually believe matters?' Adjust deliberately if needed, then assign an owner to each of the top five to ten items.
8 min
Suggerimenti
ICE scoring is fast because it is approximate. Don't let groups debate a score from 6 to 7 for five minutes — that level of precision is false anyway.
Confidence is the most important filter. A 10/10 Impact score on a 1/10 Confidence item is a research project, not a priority. Sequence low-confidence high-impact items as validation experiments, not full launches.
Ease scoring often gets gamed by technical team members who score items that favour their current sprint high. Calibrate against actual delivery timelines in the last quarter.
Run ICE in silence first — everyone scores independently before any group discussion — to prevent anchoring and social conformity bias.
ICE is a shortlisting tool, not a final decision framework. Always sanity-check the top-ranked items against strategic fit before committing to them.
Errori comuni
Letting the group debate whether an item is a 6 or a 7 — ICE's precision is deliberately coarse, so timebox each score to seconds and move on
Scoring aloud in turn so the first voice, often the most senior, anchors everyone — collect scores silently and reveal them together
Mixing items that target different metrics in one ranking, which makes the Impact scores incomparable and the final order meaningless
Feeding the ranked list straight into the roadmap without a strategic sanity check — the method systematically favours easy over important
Variazioni
For growth experiment programmes, add a fourth factor — 'Time to Results' — to create an ICET model that also accounts for how quickly you'll know if an experiment worked. For strategy-heavy teams, weight Impact more heavily (e.g., 2×) rather than using a simple average. Use ICE for weekly experiment triage and RICE for quarterly roadmap prioritisation.
Casi d'uso
Quando usarlo
A growth or product backlog of 15–50 experiment ideas needs triage before the next cycle and there is no time for a heavier scoring model
A team is drowning in stakeholder requests and needs a transparent, defensible first-pass ranking to explain what was cut and why
Weekly or bi-weekly experiment cadences demand a repeatable ritual that scores incoming ideas in minutes rather than meetings
A brainstorm has produced a long, unranked list that must shrink to a shortlist before deeper analysis such as RICE or a business case
Quando non usarlo
A handful of large, hard-to-reverse bets are on the table — decisions of that weight deserve weighted scoring or a business case, not three gut-feel numbers averaged
The items serve different goals or metrics — ICE scores are only comparable against one shared target, so fix the goal or split the list into separate scoring sessions
You need reach and effort made explicit and separable — RICE breaks those dimensions out where ICE compresses them into Impact and Ease
The ranking would be read as a delivery commitment — ICE orders bets by rough expected value and says nothing about schedule or capacity
Metodi correlati
Domande frequenti
How long does an ICE scoring session take?▾
Plan 30–60 minutes. An experienced team can score 20–30 items in about half an hour; the rest of the time goes to resolving divergent scores and sanity-checking the top of the ranking against strategy. If a session runs longer, the group is debating precision the method was never meant to have.
How many people should score in an ICE session?▾
Two to twelve works well. You want the people who hold real information about impact, evidence, and implementation cost — typically a mix of product, engineering, and data or marketing. Beyond a dozen, silent scoring still works but the divergence discussions start to sprawl.
What is the difference between ICE and RICE?▾
RICE scores Reach, Impact, and Confidence and divides by Effort estimated in person-months, producing a more rigorous but slower ranking. ICE averages three 1–10 gut scores and trades accuracy for speed. A common split is ICE for weekly experiment triage and RICE for quarterly roadmap decisions.
How do you run ICE scoring remotely?▾
A shared spreadsheet is all you need: one row per item, one hidden or private column per scorer, and a formula for the average. Score each factor silently on the call, then unhide the columns together — the simultaneous reveal prevents anchoring just as it does in the room.
What preparation does an ICE session need?▾
Compile the candidate list beforehand with a one-line description per item — writing descriptions live burns the session. Define the single target metric, and set up the scoring sheet with the (Impact + Confidence + Ease) ÷ 3 formula ready. Ten minutes of prep keeps the session itself under an hour.
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Prova gratisMethod descriptions on Workshop Weaver are original content written by our team, based on established facilitation practices. This method was inspired by work from Sean Ellis.