Built for Devs tracks adoption drop-offs

This feels like a useful wedge for devtool companies that have outgrown vanity analytics and need a clearer read on onboarding pain. The big question is whether teams want a platform that blends software with a human research loop.

• –The time-to-value tracking is the strongest angle because it ties product changes to real activation outcomes.
• –Real ICP-matched developer evaluations are a differentiator; they should surface issues that analytics alone will miss.
• –The AI recommendations layer is only as good as the underlying signal, so trust and methodology matter a lot.
• –Best fit looks like B2B devtools with enough traffic and complexity to justify deeper adoption research.
• –This is more than a dashboard, but also more operationally heavy than a self-serve analytics tool.