Building developer portals requires data-driven decision-making over perfectionism. The post outlines a product sprint methodology using concrete, measurable hypotheses, key product-market fit indicators (activation rate, time-to-first-hello-world, support ticket ratios), and specific Google Analytics events to track user behavior. Real examples from Cisco DevNet illustrate the approach: defaulting Cloud IDE to show README files, deprecating outdated repos with a related-repos widget, and adding 'Developed by' filters to an MCP catalog. Decisions are validated by triangulating product analytics, user feedback, and business impact.
Table of contents
Start with a concrete hypothesis, not a wishMeasure what matters: Product-market fit indicators for developer portalsProduct analytics events we track or recommendValidating decisions: analytics + user feedback + business impactHow we apply this at DevNetJoin DevNet feedback sessionsSort: