This is the time of the year when trees change colors and the leaves start falling. Whether you like pumpkin spice lattes or not, it's a great time of year. The other thing that has dropped lately is a study of 500 engineering leaders proving that engineering teams are taking the lead over product teams in getting value from feature experimentation. Those who succeed at this have one capability in common: the ability to measure impact at the feature level. Those without that kind of measurement in hand reported just a 1 in 6 record of success with their initiatives.

What's behind the uptick in engineering-led experimentation? The efficiency and scalability gains won from using feature flags with built-in measurement. It started with smarter release monitoring, where alerts don't just point to symptoms but rather to the flag causing those symptoms. It sped up when flags became capable of bringing back their own performance and error data right out of the box. From there, it was a quick leap to conducting experiments with those same flags.

Join this update and live demo hosted by Dave Karow, a seasoned Progressive Delivery Advocate to quickly come up to speed on this trend

• How Progressive Delivery evolved to include engineering-led experimentation
• Key tactics and pitfalls to avoid, revealed in The State of Feature Management and Experimentation 2024 report conducted with 500 engineering professionals by LeadDev.
• Live demo of feature flags with built-in feature measurement. See how one solution can standardize feature flag usage across your organization, de-risk releases right out of the box, and equip any team with experimentation capabilities that scale without additional headcount.
• See for yourself. There’s no better time to realize the outcome-focused benefits of smarter, safer release practices and data-informed feature experimentation before winter sets in.