Build a dashboard tracking Acquisition, Activation, Retention, Revenue, Referral. The framework forces attention across the full funnel and surfaces leaky steps that single-metric tracking misses.

1. 1

   Define one north-star metric and 3-5 input metrics that move it — don't track everything.

2. 2

   Instrument with explicit event-naming conventions (Object_Verb_Result) — taxonomic debt is brutal to fix later.

3. 3

   Pipe everything through a single source of truth (Segment / Rudderstack) — multiple SDKs = data drift.

4. 4

   Build a single weekly dashboard that the whole team sees — 50 dashboards nobody opens is the failure mode.

5. 5

   Validate analytics monthly against the source-of-truth (Stripe for revenue, DB for users).

6. 6

   Sunset metrics nobody acts on; tracking != utility.

Dropbox's two-sided referral (refer a friend, both get +500MB) is the canonical case study. It took them from 100,000 signups to 4 million in 15 months — a 35-40x increase — with effectively no paid marketing. Wise, Revolut and Monzo all ran variations of this playbook for fintech referrals.

• ✗Calling the test too early — read results at full 7-day multiples to neutralize day-of-week effects.
• ✗Skipping the audience / segment definition — broad targeting dilutes the signal and inflates CAC.
• ✗Failing to instrument the downstream metric — clicks are not revenue.
• ✗Watch-out from the playbook: Define each metric crisply — 'activation' means nothing without a specific behavioral definition.

Any product team without a holistic funnel view