... left. Our actual readers were people who had been away and were trying to rebuild their mental model. We added a "what changed since you were last here" summary at the top, personalized to the user's last login. Readtime on the changelog dropped 44%, but feature adoption from changelog readers rose 31%, because they stopped

... does instead of what changes for the reader. " We're excited to share our new real-time collaboration feature " is Feature-First Bias. " Your team just lost 4 hours to version conflicts last week " is consequence-first. One tells the reader about the product. The other tells the reader about themselves. Most readers close the tab after the first type. Most readers keep reading

... differently next time? A few things we learned along the way that might be useful regardless of what tool you use: Drop-off patterns are more telling than total views. Where readers leave matters more than how many arrived. Read

... content site. Tracked everything. Results were wild: The wins: One post hit 226,000 views, 600 upvotes, 94.5% approval on r/webdev Became my #2 post of all time Drived 15,595+ readers in one week 1,700 hours of read