When the Target Replaces the Work, the Number Improves and the Business Doesn't

When I first heard about Meridian’s approach to targets versus work, I was skeptical. The idea that any measure can become gamed by good people acting rationally seemed like an excuse for poor leadership rather than a practical guide. But as I delved deeper into their methodology, I began to see the value in treating targets not just as goals but as tools that need careful design and constant monitoring.

The timing of this discussion is crucial. Half-year target reviews are when gamed metrics look their best and mean their least. This is a moment when leaders, managers, and analysts must be particularly vigilant. The goal isn’t to avoid complexity but to navigate it with clarity and purpose.

Diego Arroyo’s lens on the topic is refreshing. He focuses not on abstract theory but on practical sequences: what happens first, who owns the next step, what evidence should be saved, and how one can tell whether a situation is improving or deteriorating. This approach resonates because it acknowledges that knowledge alone isn’t enough; translating that knowledge into action under pressure is the real challenge.

The article’s core argument emerges by mid-point: targets versus work is not an abstract concept but a tangible issue with real-world consequences. It’s about metric-versus-outcome divergence, quarter-end spikes, definition drift, and more. These are points where the reader feels the story in their day-to-day operations, a date shifts, a cost appears, a service slows.

Arroyo suggests that leaders shouldn’t wait for certainty to act. By the time every detail is settled, it’s often too late. Instead, gather records, compare options, ask better questions, and set reminders. This proactive stance can prevent costly mistakes down the line.

The piece then dives into specific checks a reader should perform: verify if a metric's rise matches its intended outcome, look at behavior near thresholds and deadlines, trace who defined measures and when they changed, compare what’s measured with customer experiences, and identify activities that stopped being done because they aren’t counted. Each check is practical and actionable.

Signals worth watching include metric-versus-outcome divergence, quarter-end spikes, definition drift, sandbagged forecasts, and activity masquerading as results. These signals become useful only when compared to a baseline, what did it cost last month? How long did it take before?

The article then warns against common traps: punishing gaming instead of redesigning the game, adding metrics until nothing is primary, changing targets mid-period, celebrating precision about the wrong thing, and using one number for pay, planning, and truth simultaneously. Naming these traps makes them less likely to win.

Arroyo’s approach doesn’t pretend there’s a perfect answer; it offers imperfect options with clear trade-offs. Pay now or risk paying later. Move faster or keep more evidence. Save time or reduce uncertainty. Ask for help or accept the limits of guessing.

The piece ends by emphasizing that targets versus work deserves attention before it becomes urgent. A reader needs a clear first check, a place to keep proof, a short list of risks, and enough confidence to ask better questions. This community effect is powerful: one organized household, team, supplier, or traveler creates pressure on providers and institutions for clearer questions and improved evidence.

In essence, the article offers a practical guide that’s more than just an abstract reminder of complexity. It’s a tool that helps readers navigate their day-to-day decisions with clarity and confidence.