Product Activation and Retention Analytics

Use-case evidence path

Product Analytics for Retention: from implementation to decision

A complete product analytics for retention measurement loop connects one owned workflow, a bounded event contract, a controlled fixture, and a question someone can act on.

1
Set the boundary
Define the activation moment for the product.
2
Capture the outcome
Begin with onboarding_step_completed, first_meaningful_action_completed, feature_used and document the grain of each event.
3
Prove the rows
Build dashboards for activation, weekly active teams, adoption, and upgrade intent.
4
Make the decision
Which first action best predicts retained teams?

Use case versus template

This page explains what to measure and why

Use the use-case guide to choose outcomes, event boundaries, and analysis questions. Open the matching template when you are ready for a shorter copy-paste implementation brief.

Open Activation And Retention Template

Scope and neighboring use cases

Choose this page for the right measurement boundary

Use this page for behavioral activation, adoption, and return-usage questions.
Use SaaS revenue analytics when the source of truth is subscription MRR movement and revenue retention.
Use telemetry data quality when the question is whether event contracts are fresh, complete, typed, and deduplicated.

Agent prompt

Paste this into your coding agent

Replace YOUR_API_KEY after signup, then ask the agent to run the product flow and verify the first events.

agent prompt

Product Analytics for Retention setup prompt

text

Instrument product usage and retention with Telemetry.

Use /skill.md and this Telemetry API key: YOUR_API_KEY

Please add structured events for:
1. Signup, onboarding step completion, team creation, first successful integration, and first meaningful product action.
2. Core feature usage with feature_name, action, surface, team_id, user_id, status, latency_ms, and error_type when relevant.
3. Retention milestones: second active day, first saved dashboard, first shared artifact, first alert created, and first return after seven days.
4. Expansion signals: invited teammate, upgraded plan intent, billing page viewed, usage limit reached, and support requested.

Create a dashboard for activation rate, weekly active teams, feature adoption, retained teams by first action, and upgrade-intent events.

Setup steps

1Define the activation moment for the product.
2Ask an agent to instrument onboarding, core feature usage, and return events.
3Send test events for a new account and a returning account.
4Build dashboards for activation, weekly active teams, adoption, and upgrade intent.

Events to capture

onboarding_step_completedfirst_meaningful_action_completedfeature_useddashboard_savedteammate_invitedretention_milestone_reached

Questions unlocked

Which first action best predicts retained teams?
Which features are adopted by accounts that later upgrade?
Where does onboarding lose otherwise qualified users?

Event schema starting points

Review the row grain, emit boundary, required types, privacy classes, example payload, and validation checklist before adapting a query or snippet to production.

Product lifecycle7 fields