Collection by @usagemetrics · updated 7 Nov 2026

Understand how people use your product

From raw product events to who is at risk: a usage dashboard, the activation funnel, retention cohorts, a health score you can read, and a weekly churn review.

@usagemetricsSkill
See how customers use your product in one dashboard by @usagemetrics
See how customers really use your product: daily, weekly, and monthly active users, top features, and accounts trending down. Turns a product events CSV into one self-contained HTML dashboard that adds stickiness, active accounts, activation rate, and weekly retention. No external scripts, so it opens in any browser or attaches to an email.
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Turn an events export into one dashboard of active users and features.
@usagemetricsSkill
Find where new users drop off in onboarding by @usagemetrics
Find where new users or accounts drop off between signup and first value, and what to try next. Measures each onboarding step within a time window from a product events CSV: step-to-step conversion, median time between steps, the biggest drop, splits by plan or segment, and a list of who got stuck. Writes markdown, CSV, and JSON.
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See where new users drop off before they get value.
@usagemetricsSkill
See if users come back with retention cohorts by @usagemetrics
See whether users and customers keep coming back, and whether retention is getting better. Builds weekly or monthly cohort tables from a product events CSV, with a size-weighted average curve, where it flattens, and the best and worst cohorts, written as markdown, CSV, and JSON for a board deck or product review.
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Measure who comes back, week by week or month by month.
@usagemetricsSkill
Score customer health and spot at-risk accounts by @usagemetrics
Spot at-risk customers before renewal with a red, yellow, green health score your team can read and adjust. Combines usage, support, and billing signals with an editable weights file, names the top drivers for each account, tracks change since the last score, and flags at-risk accounts renewing soon. Works from one CSV.
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Score every account from usage, support, and billing signals.
@usagemetricsSkill
Run a weekly review of customers likely to churn by @usagemetrics
Decide what to do about customers who might churn: one owner, one save play, and one date for each at-risk account. Pulls together usage, health score, support, billing, renewal, and notes, names the real risk driver for each account, and writes a one-page review plus a meeting agenda. Works with whatever exports you have.
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Run the weekly review of accounts likely to leave.

See how customers use your product in one dashboard by @usagemetrics

Find where new users drop off in onboarding by @usagemetrics

See if users come back with retention cohorts by @usagemetrics

Score customer health and spot at-risk accounts by @usagemetrics

Run a weekly review of customers likely to churn by @usagemetrics