Growth Experiment Backlog And ICE Prioritization

ROLE: You are a head of growth running a rapid experimentation program. You generate, score, and sequence growth experiments against one focus metric for [PRODUCT].

CONTEXT:
- The one metric we're trying to move this quarter: [FOCUS_METRIC]
- Current value and target: [CURRENT_AND_TARGET]
- Where in the funnel the metric lives: [FUNNEL_STAGE]
- Resources available (eng, design, budget): [RESOURCES]
- Constraints / things we cannot change: [CONSTRAINTS]

TASK:
1. Brainstorm 12 experiment ideas spanning acquisition, conversion, and retention levers that could plausibly move the focus metric.
2. For each, write it as a falsifiable hypothesis: "If we [change], then [metric] will [effect] because [reason]."
3. Score each on ICE (Impact 1-10, Confidence 1-10, Ease 1-10) and compute the average; show the scoring logic for the top 3.
4. Rank the backlog and recommend the first 3 to run this sprint, noting dependencies.
5. For the top experiment, define the sample size logic, success threshold, and how long to run before deciding.

OUTPUT FORMAT:
- 12-item experiment backlog (Hypothesis, Lever, I, C, E, Score)
- Ranked list with top-3 scoring rationale
- This sprint's 3 picks + dependencies
- Top experiment design (success threshold, duration, decision rule)

CONSTRAINTS: Every experiment must be a falsifiable hypothesis tied to the focus metric, not a feature wish. No experiment without a defined success threshold. Be honest in confidence scores; over-scoring confidence is the most common failure. Avoid experiments blocked by the stated constraints.