## Summary Snyk's DevRel team built a model to scale and measure developer content production. They sorted content into three types, estimated the audience impact of each, and used that to set a reliable production timeline. The goal is to forecast the average impact a content piece should have so the team can plan output against their growth goals. ## Key Points - Snyk identified three content types: deeper technical pieces, introductory technical content, and news/event reaction. - Deeper technical pieces generate around a thousand sessions in the month after publication. - Introductory technical content brings about half the sessions of deeper pieces but takes less work to produce. - News and event reaction (like a Log4Shell post) can generate up to 30,000 sessions but only happens once or twice a year. - A reliable production timeline per content type accounts for how it affects a person's ability to deliver other work. - The model lets the team forecast the average impact a content piece should have on their goal. ## Claim Atoms - **Content type predicts audience impact** — categorizing pieces lets Snyk estimate sessions per type and plan accordingly. - **Reactive content is high-ceiling but rare** — event posts can hit 30,000 sessions but only a couple times a year, so they can't anchor a steady plan. ## Links - [[A Metric Is Vanity Only Against Your Own Outcome Data]] — Snyk's sessions-per-content-type model becomes useful only when those sessions are tested against the team's actual growth outcome. - [[The Four Objectives Framework Replaces Vanity Metrics in DevRel]] — content categories and production timelines become operational when each is tied to a defined DevRel objective. - [[3. Resources/MOCs/DevRel MOC]] — connects content-type forecasting and production capacity to evidence-based developer-content planning.