The Telemetry Minimum Viable Map: 8 Privacy‑First Events That Predict Day‑7 Retention and Monetization

Instrumentation for prototypes must be minimal, privacy‑safe, and diagnostic. Focus on two business questions you can answer quickly: 1) Are users returning on Day 7? 2) Which early behaviors predict they’ll convert or pay later? If you can answer both, you can iterate UI and pricing without waiting for large samples.

The telemetry map below intentionally avoids any personally identifiable information (PII). Events are single actions with stable, documented names and a short list of properties (all non‑PII). Use a hashed device or anonymous user id only to stitch an anonymous session and cohort — follow your privacy and consent policies.

Instrument these eight events across your demo or microfeature. Use a single anonymous_id (random UUID) per visitor; never attach email, full phone, or raw device identifiers. For each event send: anonymous_id, event_name, timestamp, and at most two small properties (e.g., plan_tier, feature_id).

Each event name follows a consistent, human‑readable past‑tense verb convention (recommended by product analytics playbooks). That keeps SQL and funnels readable for non‑technical founders and avoids taxonomic drift as the prototype evolves.

Adopt a small naming rule: snake_case, past‑tense verb phrases (e.g., completed_task, opened_pricing). Keep event names static and move dynamic values into properties. This is the pattern recommended across Amplitude, Mixpanel, and other product analytics guidance and avoids event explosion.

Limit properties to short categorical values and small numeric counters. Example property whitelist for the map: task_variant, feature_id, success (boolean), plan_tier. Document the single source of truth for these names in a README or a simple spreadsheet — that becomes your lightweight data taxonomy and prevents duplication as your prototype evolves.

These SQL patterns assume an events table with columns: anonymous_id, event_name, event_time (timestamp), and properties flattened as columns (task_variant, feature_id, plan_tier). They’re written to be adapted for Amplitude, Mixpanel (via warehouse), or your analytics DB.

Run these within 24–72 hours after you’ve instrumented enough users to get meaningful signals (a few dozen to a few hundred, depending on product). They surface cohorts for A/B decisions: which task_variant, which early feature uses, and which flows correlate with Day‑7 returns or a payment intent.

Keep the demo map privacy‑first: never log emails, names, raw IPs, or full device identifiers. Use an anonymous_id (random UUID) to join events for cohorting, and rotate/salt any hashes if you export logs. Follow your legal/regulatory checklist for consent and telemetry; privacy frameworks and standards emphasize explicit consent and minimization of logged personal data.

When you move from demo telemetry to production billing events, shift the single boolean payment signal from an analytics event to back‑end, auditable records in your payment system. Analytics can capture an anonymized payment_created flag or plan_tier, but authoritative billing data should live in your payments system and be linked only through privacy‑safe keys if needed for support.