Adoption metrics alone are insufficient for evaluating design system health — they only confirm a package is installed, not that it's working. A complementary engagement metric tracks the relationship between the design system team and product teams through three signals: office hours participation, contribution activity, and support volume. Each signal is normalized by team size and composited into a monthly score with a rolling average. A real example shows engagement dropping from 95% to 79% in May while adoption remained flat, enabling targeted intervention that brought June back to 91%. The post explains how to read adoption and engagement together using a quadrant model, warns against weaponizing the score or falling into Goodhart's Law, and provides a simple spreadsheet-based implementation guide.

12m read timeFrom headway.io
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Table of contents
Adoption metrics have blind spotsEngagement is the missing pieceAdoption is worth measuring, so measure it in layersThe problem with adoption: it's a lagging indicatorThe AI workflow evolution is making the same mistake right nowEngagement measures the relationship, not the artifactHow the three scores roll upNoise is health, silence is the dangerWhat May looked like in our dataWhy engagement is worth trackingHow to read both metrics togetherOne dataset, two audiencesHow to start: it's a spreadsheet, not a platformAdoption gets you in the room. Engagement keeps you there.
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