Your product starts acquiring and retaining users through itself — not just through your sales team.

Every step between a new signup and the moment they first experience genuine value is mapped against your real data — revealing exactly where users are dropping out and what's causing it, so your team knows where to focus before writing a single line of code.

Your current analytics setup is assessed against what a functioning PLG motion actually needs to measure — identifying the specific gaps that are making your activation and retention data unreliable or incomplete.

The specific in-product action that most strongly predicts whether a user will still be retained months later is identified from your data — giving your product team one clear, evidence-backed target to engineer toward rather than debating proxies.

A structured system for deciding which activation improvements to test first is built around your specific funnel data — so your team is always working on the highest-leverage fix rather than the loudest internal request.

The cadence, format, and agenda for your ongoing PLG review meetings is designed from the ground up — so your team spends time making decisions rather than arguing about metrics or sitting through status updates.

A written report documenting your full activation funnel with conversion rates at every step, annotated with the highest-priority drop-off points and the likely causes behind each one.

The critical gaps in your analytics setup are resolved — so your team is measuring activation, retention, and conversion against real data rather than approximations and best guesses.

Your onboarding flow is restructured to lead users directly toward the value moment your retention data has validated — removing friction, reducing time-to-value, and increasing the proportion of new users who actually make it through.

Your highest-leverage activation improvements are documented as ready-to-run experiments, scored and sequenced — so your team can start testing immediately without spending weeks in planning.

A repeatable meeting template your team uses every week to review activation metrics, assess live experiments, and decide what to focus on next — without the meeting drifting into discussion that doesn't produce a decision.

A measurement framework that gives you a continuous, real-time view of how your self-serve motion is performing — so leadership can see PLG health at a glance and your team always knows what the numbers are saying.

Every event your product tracks is documented with its name, trigger, properties, and purpose — so new engineers and analysts can understand your data model without needing to reverse-engineer it from the codebase.

The full specification for your revised onboarding flow is written up so that product and engineering can implement it without ambiguity — covering copy, step sequence, logic, and edge cases.

Reusable templates for structuring new experiments so your team can design tests that are statistically sound and clearly documented, without starting from scratch every time.

A written agenda that keeps your weekly PLG review on track — with a defined structure for reviewing metrics, discussing experiment results, and locking in the next priority before the meeting ends.

A structured session covering your full PLG framework, recorded for any new team member who joins. A month of direct access for implementation questions. Weekly review facilitation during the engagement so your team learns the rhythm by doing it. Each new experiment designed during the engagement is reviewed and refined before it runs.