Use numbers to learn fast and course-correct sooner

Performance measurement lies at the heart of continuous improvement. In a classic experiment, researchers at the University of Nijmegen divided students into two groups tasked with writing reports. Both groups predicted their completion times, but only one group planned when and where they would write. That group finished nearly three times faster and aligned more closely with their time estimates, demonstrating the power of structured planning and feedback.

This reflects insights from Control Theory in psychology, which posits that behavior adjusts when we compare our performance against a standard. By logging key indicators—words written, chapters drafted, interviews conducted—you create a feedback loop that triggers adaptive changes. Without measurement, you’re flying blind, unaware of pattern shifts until deadlines loom.

Moreover, goal-setting research finds that specific, proximal metrics—what psychologists call “leading indicators”—predict success better than distant outcomes. Tracking weekly word counts or calls scheduled lets you intervene quickly if you slip. You can identify bottlenecks—say, low interview bookings—and reallocate effort before the plan unravels.

In practice, maintaining a simple table and reflecting on variances each week turns data into strategy. Measurement isn’t about micromanaging every minute; it’s about learning fast and keeping your plan alive.

They choose two or three leading indicators, record actual versus target in a weekly table, and review the differences. When they hit a slump, they ask why and note a single insight. Then they tweak one tactic for the next week based on that insight. Give this a try with your own metrics this Friday.