Product & Innovation

We evaluate current analytics infrastructure and identify what's missing. We check if tracking is correctly implemented, what important events are not measured, and what insights cannot be extracted from current data. We also analyze tools used by product, engineering, and marketing for alignment.

We design a comprehensive tracking plan: what events to measure, what properties to capture, naming conventions, and how to structure data for efficient queries. We define key funnels, retention metrics, and success criteria for new features. We document everything in a tracking specification used by the entire team.

We implement event tracking in the application, feature flagging system, and experimentation framework. We integrate session replay tools for qualitative insights. We configure automated dashboards for product metrics and automatic alerts for anomalies.

We build dashboards for each part of the product funnel. We train the team how to analyze data and extract insights. We set experimentation cadence: idea generation, hypothesis formulation, test design, analysis. We conduct experiment reviews to learn from each test, win or loss. We gradually scale test complexity.