growth-experiment-prioritization-scorer
Growth Experiment Prioritization Scorer
Score and rank a growth experiment backlog using the ICE framework, then select the top experiments for the next sprint. The output is a structured scored backlog the team can bring directly to their weekly growth review meeting and begin acting on.
ICE — Impact, Confidence, Ease — was developed at GrowthHackers.com as a way to convert a pile of unordered experiment ideas into a ranked, actionable queue. The scoring is deliberately simple: three dimensions, a 1–10 scale each, averaged to one number. The value is not precision — it is shared calibration. A team that scores ideas against a common rubric before the meeting arrives at a defensible ranking in minutes rather than spending the full meeting debating which idea to try first.
When to Use
Use this skill when:
- You have a backlog of growth experiment ideas (5–100+) and need to decide which to run in the next 1–2 week sprint
- Your team keeps gravitating toward familiar or easy tests rather than the highest-impact options
- Experiment selection is happening in the weekly meeting by whoever argues most persuasively, rather than by a pre-meeting scoring process
- You are entering a new growth focus area (acquisition, activation, retention, monetization) and need to groom the idea bank for that area
- You have just used
high-tempo-experiment-cycleto install a weekly cadence and need to score the initial backlog before the first growth meeting
Prerequisites before using this skill:
- You have a confirmed North Star metric (from
north-star-metric-selectoror from the team's existing documentation). Impact scoring is meaningless without a shared reference metric. - The backlog exists as a document with at least a name and hypothesis per idea. Vague ideas ("improve onboarding") cannot be scored — they must be made specific first.