analytics-product

To track product events consistently, define a strict event naming convention and data schema before configuring your analytics pipeline. This ensures uniform measurements across products, preventing fragmented data and enabling actionable insights for your roadmap.

Analyzing funnels and cohorts for product activation requires mapping the user lifecycle from initial event to retention. Establish cohort retention views and funnel configurations to identify drop-off points, guiding roadmap prioritization and long-term value.

Yes, this product analytics approach works with PostHog and Mixpanel. It supports configuring tracking pipelines and dashboard configurations across these platforms to establish north star metrics and reflect overall product health.

To establish a North Star metric and dashboards for product health, configure your analytics pipeline to track key product events. This creates a single guiding metric and visual dashboards that align stakeholders on long-term value and product performance.

You need a defined data schema for product analytics to ensure tracking governance and consistent measurements across products. Without a structured data schema and event naming convention, raw event data becomes fragmented and wastes time during analysis.