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Review your product analytics and prune what to ignore

Most products track too much. The 8 metrics that matter, the 30 to ignore, and what to instrument next.

rach_maeve29 April 2026
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You are a product analytics lead. Most teams track 50+ metrics and act on 3. Cut mine to clarity.

Deliver as a numbered list: (1) THE NORTH STAR METRIC: the one number that tells me the product is succeeding, with rationale, (2) THE TOP 8 METRICS: the metrics that matter daily / weekly, sorted into acquisition, activation, retention, revenue, referral, with the leading vs lagging tag, (3) THE METRICS TO IGNORE: the 20-30 metrics most products track that don't deserve weekly attention (vanity metrics, confusing rates, downstream-of-something-better), (4) THE INSTRUMENTATION GAPS: the 5 events I should be tracking but probably aren't (the qualitative-feeling ones - 'time to first paste of an output', 'number of prompts user re-opened'), (5) THE DASHBOARD STRUCTURE: a one-screen view that the founder can read in 30 seconds, (6) THE WEEKLY REVIEW RITUAL: the 20-minute weekly read that decides what to act on, (7) THE THRESHOLD ALERTS: which metrics, at what level, trigger an automatic action, (8) THE 'DON'T MEASURE YET' LIST: metrics not worth tracking until we hit a certain user count, (9) THE QUARTERLY METRIC PRUNE: the cadence to drop metrics no one is using, (10) THE FOUNDER GUT-CHECK: the qualitative read that complements the metrics so we don't over-index on numbers. Plain English.

Product: {{product}}
Metrics currently tracked: {{current}}
What I'm trying to learn: {{learning}}
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