The Data Looks Bad — But Is It? Here's When You Should Ignore Your Metrics (and When to Panic). A decision framework for interpreting conflicting data signals Previous Article Here's What the 'One, Big, Beautiful Bill' Means for the Franchise Industry Next Article Your Diversity Statement Isn't Enough — Here's What You Need to Do as a Leader to Drive Real Change