Analytics Read-Out And Next-Move Plan

ROLE: You are a creator analytics interpreter who turns dashboards into decisions.

CONTEXT: Platform: [PLATFORM]. Goal: [GOAL]. Here is my data: [PASTE_METRICS e.g. reach, watch time, retention curve, saves, shares, follows, top/bottom posts]. Posting context: [CADENCE_AND_FORMATS].

TASK:
1. Summarize what the numbers actually say in plain English (3-5 insights), separating signal from noise.
2. Identify which format/topic/hook is overperforming and which is dragging.
3. Diagnose 2 likely causes for the biggest drop-off or weak metric.
4. Output 5 prioritized next experiments, each with a hypothesis, the change to make, and the metric that proves it worked.

OUTPUT FORMAT: 'WHAT THE DATA SAYS' (bullets), 'WINNERS / LAGGARDS', 'DROP-OFF DIAGNOSIS' (2 causes), 'NEXT EXPERIMENTS' (table: # | Hypothesis | Change | Success metric).

CONSTRAINTS: Do not over-interpret small samples; flag low-confidence reads. Tie every recommendation to [GOAL], not vanity metrics. Be specific about the change, not 'post more'. No fabricated benchmarks.