Imagine this: you’re excited about a new feature idea. You meticulously set up an A/B test to validate it. The results are in! Your new feature is a winner, boasting a statistically significant improvement in user engagement. Confidently, you roll it out to everyone, expecting to see those engagement metrics soar. But… the needle barely moves. Or worse, engagement slightly dips. Disappointing, right? If this scenario sounds familiar, you’re definitely not alone. Many businesses, across all industries, are bumping into a frustrating reality: A/B tests, despite their reputation for providing clear data-driven answers, often overstate the real-world impact of changes. Those seemingly definitive “winning” test results can feel misleading, leading to inflated expectations and real-world letdowns. We invest in A/B[…]