analytics-product

To define a North Star metric for product analytics, you establish a single key indicator reflecting core product value, then align team OKRs around measurable outcomes. This framework focuses teams on driving sustainable growth.

Cohort analysis tracks user retention by grouping individuals based on their initial activation or onboarding timing. Comparing these cohorts over time surfaces drop-offs and reveals opportunities to improve long-term feature adoption.

You set up event tracking in PostHog by applying a defined event taxonomy to measure activation. You then build funnels using implementation templates to analyze user progression and identify specific stages of drop-off.

Yes, a defined event taxonomy is a functional requirement before creating product dashboards. Structuring your events first ensures accurate data collection for monitoring product health and informing strategy.

Yes, the analytics principles apply to both Mixpanel and PostHog. While specific functional requirements include PostHog-based implementation templates, the core methods for funnels, cohorts, and dashboards transfer across platforms.

Funnel optimization matters for feature adoption because it identifies exact user drop-off points during onboarding. Analyzing these stages allows product teams to remove friction and increase overall engagement metrics.