Membership Required
You need to sign in and have a Premium subscription to access this content.
- 01 The North Star Metric (NSM) is the single metric the entire company optimizes for; RPV or weekly active buyers for ecommerce, WAU or NRR for SaaS
- 02 Dashboards should have 3 layers: strategic (C-level, weekly), operational (team, daily), and diagnostic (troubleshooting, real-time)
- 03 GA4 is free and powerful but raw data access requires BigQuery export; PostHog suits product analytics, Umami suits privacy-first simple analytics
- 04 Tracking too many KPIs makes decisions harder, not easier; NSM + 4-6 supporting metrics is sufficient
- 05 Shopify Analytics can be queried directly with ShopifyQL; on non-Shopify platforms, GA4 + Looker Studio is the standard combination
+ How do I choose a North Star Metric?
The NSM is the single metric the entire company optimizes for. For ecommerce, Revenue per Visitor (RPV) or weekly active buyers work well. For SaaS, Weekly Active Users (WAU) or Net Revenue Retention (NRR) are common choices. The NSM alone isn't enough; track 4-6 supporting metrics for sub-processes.
+ How many layers should a dashboard have?
Three layers: strategic dashboard (C-level, weekly updates, NSM and supporting metrics), operational dashboard (team-level, daily updates, funnel steps and channels), and diagnostic dashboard (troubleshooting focused, real-time, segment-level drill-down).
+ What is the difference between GA4, PostHog, and Umami?
GA4 is free with powerful funnel and attribution analysis, but raw data access requires BigQuery export. PostHog is open source and strong for product analytics (session replay, feature flags, A/B testing). Umami is privacy-first, simple, self-hosted, and GDPR compliant.
+ How do I set up a KPI dashboard for Shopify sites?
Shopify Analytics can be queried directly with ShopifyQL. On non-Shopify platforms, GA4 + Looker Studio is the standard combination. If you're on Shopify Plus, you can collect additional events with custom pixels and export to BigQuery.