Prioritise a growth experiment backlog: ICE scoring with honest confidence, the learning-value bonus, and the portfolio balance check.
Prioritise my experiment backlog: {{experiments}} (the ideas, whatever evidence exists per idea, our traffic/volume reality). Score: ICE (impact, confidence, ease) with confidence anchored to evidence type (customer quotes > analogy > hunch — show the anchor per idea), the learning-value bonus (experiments that inform many future decisions outrank one-off tweaks), the feasibility gate (does my volume support detecting this effect? — kill the undetectable politely), and the portfolio check (all small tweaks = optimising a local maximum; the one big-swing slot). Output: the ranked next 5 with the hypothesis each tests, and the graveyard (ideas cut, with the one-line reason — so they stop being re-proposed).
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