What does it mean that incentive design as system change?

What gets measured and rewarded determines what people actually do. Incentive design is the most powerful lever for systemic change because incentives operate continuously, automatically, and at scale — shaping behavior across the entire organization without requiring individual intervention. But incentives are also the most dangerous lever because poorly designed incentives produce precisely the behavior they measure, including the dysfunctional side effects of optimizing for the measured dimension at the expense of unmeasured dimensions. Goodhart's Law — "When a measure becomes a target, it ceases to be a good measure" — is the central challenge of incentive design.

Example: A call center, Respond, measured and rewarded agents on average handle time — the average duration of each customer call. The incentive produced exactly what it measured: agents rushed through calls, resolving the immediate question without addressing underlying issues, transferring complex cases to other departments rather than handling them, and sometimes disconnecting calls that would take too long. Average handle time decreased — the incentive was working. But customer satisfaction plummeted, repeat call rates increased (customers called back because their underlying issue was not resolved), and the transfer rate to other departments created bottlenecks that degraded service across the entire organization. The metric had become the target, and the target had ceased to be a good measure of what the organization actually wanted: customer problems resolved. Respond redesigned the incentive system: the primary metric became first-call resolution (was the customer's problem fully resolved in a single interaction?), with average handle time tracked but not incentivized. Agents began spending more time on calls — but repeat calls dropped 40%, transfers dropped 60%, and customer satisfaction scores increased by 25 points. The incentive redesign changed agent behavior not through training or motivation but through structural alignment: agents were now rewarded for doing what the organization actually needed.

Try this: Audit the incentive system for one role in your organization. List every metric that is measured, reported, or rewarded — both formally (performance reviews, bonuses, promotions) and informally (what gets praised in meetings, what gets attention from leadership, what gets criticized). For each metric, ask: If someone optimized exclusively for this metric, what behavior would they exhibit? Would that behavior serve the organization well? If optimizing for the metric produces dysfunctional behavior, the metric is misaligned — it measures something different from what the organization actually needs. Redesign the metric to align measurement with organizational need. The most common misalignment: measuring output (how much was produced) when the organization needs outcome (what impact was achieved).