Outcome metrics tell us whether we are winning or losing. Revenue growth, patient satisfaction, student retention, employee engagement, safety incidents... These are important, but they are lagging indicators. By the time they move, the system has already been behaving a certain way for weeks, months, or years. Trying to directly “improve” a large, complex outcome metric rarely works because those outcomes are the result of many underlying processes interacting together.

 

Process metrics, on the other hand, measure what we are actually doing. They capture behaviors, steps, and system conditions that drive results. If student retention is the outcome, process metrics might include advising touchpoints, course completion rates in gateway classes, or time to feedback on assignments. The work is to start with the most important outcome metric and then work backward: What behaviors and processes most strongly influence this result? That’s where attention belongs - through gemba visits, interviews, and baseline data collection.

 

This is where experimentation becomes powerful. Using PDCA (Plan-Do-Check-Act) cycles, we form a clear hypothesis about which process change might influence the outcome, test it on a small scale, measure what happens, and adjust. We aren’t trying to overhaul the entire system overnight. We are running focused experiments on specific process metrics and learning quickly. This is the spirit of The Lean Startup (build, measure, learn) and it requires the mindset described in The Right Kind of Wrong: intelligent failures are not setbacks, but data.

 

A growth mindset underpins this entire approach. Instead of seeing metrics as judgment, we see them as feedback. Instead of fearing being wrong, we design small experiments to help us learn faster. We stop aiming at the big, intimidating outcome and instead improve the few critical processes that actually drive it. Over time, as those processes shift, the outcome follows. This is how we transform organizations. Not through sweeping overhaul, but through small insights and improvements found up close.