Interpret a cohort retention table like an analyst: the shape that matters, cohort-over-cohort trends, and what's actionable vs noise.
Interpret this cohort/retention data: {{data}} (paste the cohort table or describe: signup month × period retention).
Read it out: the curve shape (where does it flatten — that plateau is the product's real retention; no plateau = leaky bucket), cohort-over-cohort trend (are newer cohorts better or worse at the same age? that's the product-improvement signal), any cohort that breaks pattern (and what shipped/happened that month), small-sample cohorts to ignore (mark them), and the 2 actions the data supports vs the 3 things people will WANT to conclude but can't. Translate the strongest finding into one plain sentence for a non-analyst.
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