3 articles
RevOpsHow to design a go-to-market data model that eliminates conflicting metrics across sales, marketing, and customer success — covering object hierarchy, field governance, metric definitions, and the reporting layer that makes the data trustworthy.
Product AnalyticsA practical guide to designing an event naming convention for SaaS product analytics that stays consistent as the product grows, enables reliable cohort analysis, and prevents the event sprawl that makes data unusable.
Product AnalyticsA practical guide to building a data democratization stack that enables non-technical teams to answer their own analytics questions without creating conflicting metrics or overloading the data team.