Store delays that invent adoption cliffs

A step that waits on review queues can look like mass abandonment after deploy.

Laptop showing performance dashboards

On mobile lanes, a deploy-to-adoption step that sits behind store review can silently stretch for days. The chart shows a cliff; the product never asked those users to leave—the binary simply had not reached them.

Before rewriting the release train, walk one lane while watching live signals. Note CI-only fires versus production confirmation. Check version continuity across staggered rollouts.

A Deploy-to-Adoption Trace stays narrow on purpose: one lane, deep QA, a checklist you can rerun after every ship so the cliff does not return unnoticed.

All notes Talk through a similar issue