HomeDepot way : No more experimentation decay, Compounded intelligence

The HomeDepot practice of Experimentation As A Product

Most organizations treat experimentation as a project-level activity — a test here, a campaign tweak there — but that approach has limits. What really moves the needle is building experimentation into a form of Digital Intelligence, where every test feeds a growing body of organizational know-how instead of fading into forgotten decks and one-off learnings. Capturing and scaling that intelligence ensures it compounds over time, rather than decaying. In many ways, this onboarding of intelligence is the first step toward an agent-powered future, where systems can not only execute but also learn, recommend, and act with the accumulated wisdom of the enterprise.

THE FIRST STEP : Clearing up the Supply Chain

HomeDepot operations before was a chaos surrounded around ad-hoc processes and business and IT roles and responsibilities were not well defined. Any Experimentation improvements needed a rework of the supply chain to begin with any transformation.

The Clean Up

With Adobe Workfront HomeDepot has now structured the workflow setup for a scalable model. At Adobe Summit 2025, The Home Depot showcased how it is putting this vision into practice by rethinking experimentation at scale. The company addressed a challenge familiar to many large retailers: balancing speed with rigor. By embracing automation to auto-create tests, Home Depot reduced setup friction and allowed business users — not only data scientists — to run experiments with confidence. This shift accelerated insights and helped deliver more relevant customer experiences. The message was clear: experimentation is no longer confined to specialists; it’s becoming a core capability across the enterprise.