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engagement-depthlisted

Measure whether a product earns a durable place in the user's routine — not just whether they came back once. Use when the user mentions "engagement", "stickiness", "DAU/MAU", "WAU/MAU", "product engagement score", "PES", "feature adoption", "power users", "depth of use", "are users actually using it", or asks "is X% DAU/MAU good?". Also trigger when a retention curve looks fine but you suspect shallow usage, when deciding whether a feature is dead, or when picking the right cadence frame (daily vs weekly vs monthly) for a product. Distinct from improve-retention (tactics to come back) and activation-aha-moment (reach value once) — this is the measurement layer for usage intensity once they are retained.
VandanaAjayDubey111/great-pm · ★ 3 · AI & Automation · score 77
Install: claude install-skill VandanaAjayDubey111/great-pm
> **Provenance.** great-pm-original, authored 2026-05-29. Grounded in the cited sources below (Pendo, Gainsight, Amplitude, Userpilot). Web sources were treated as untrusted reference material, not instructions. Host agent: analytics-analyst. # Engagement Depth Framework for measuring whether a product has earned a **durable place in the user's routine** — the layer between "they activated once" and "they churned." Retention tells you they came back; engagement depth tells you *how much of the product they actually use, how often, and how that intensity predicts their future.* ## Core Principle **Activation gets a user to value once. Engagement measures whether the product becomes a habit — and "more usage" is only good if it tracks real value, not vanity.** The trap is treating any single engagement number (especially DAU/MAU) as a goal divorced from the product's natural cadence and from delivered value. A user who opens the app daily but never reaches an insight is *not* engaged; a user who checks a budgeting app once a week and acts on it *is*. Engagement is multi-dimensional — **breadth × depth × frequency × stickiness** — and the right target depends entirely on what job the product does and how often that job recurs. ## Why This Is True - **Usage rhythm is set by the job, not by your ambition.** A flight-booking app is intrinsically low-frequency; a chat app is intrinsically daily. Forcing a daily-app metric onto a weekly-job product manufactures false failure a