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2 April 2026·5 min read

How Hiring Incentives Got Misaligned — And What That Means for Quality

Any system produces the outcomes it is designed and incentivised to produce. Hiring is no different. When the measure of a successful hire is that the role is closed, the process optimises for closing roles. This sounds fine in principle. In practice, it creates a systematic gap between what is measured and what actually matters.

Understanding where this misalignment comes from is not about assigning blame. It is about identifying a design problem that, once visible, can be addressed.

The placement model and its incentive structure

In third-party recruitment, the standard fee structure pays on placement: typically a percentage of the hired candidate's first-year salary, collected once they start. This creates a clear incentive to fill the role quickly with a candidate the client will accept.

The incentive to ensure that the candidate performs well in the role over the following year is much weaker. Guarantee periods exist, and most arrangements include some form of rebate if the hire leaves within 90 days, but they are short relative to the time it takes for performance problems to become fully apparent.

This is not a criticism of anyone operating within this model. It is a description of what the model rewards. When you are measured on placements, you focus on placements.

The same dynamic inside organisations

The misalignment is not unique to third-party recruitment. Internal hiring processes face versions of the same problem.

Hiring managers are typically measured on filling their open roles within budget and within a target timeframe. They are rarely measured on the performance of the people they hired twelve months later. The pressure is on closure. If a role has been open for three months and there is a candidate who is probably good enough, the incentive is to move forward rather than to hold out for someone better.

This is rational behaviour within the measurement system in place. It is not the same as optimal hiring.

Speed as a proxy for success

Time-to-hire has become a widely used metric in talent acquisition. Faster is generally treated as better. This is true in some respects, since slow hiring has real costs. But when time-to-hire becomes the primary metric, it creates pressure to move quickly even when moving quickly means accepting a lower-quality match.

The metric that is missing from most hiring scorecards is quality-of-hire: how does this person actually perform in the role? This is harder to measure. It requires following up six or twelve months after the hire was made, connecting hiring decisions to performance outcomes, and attributing results that are shaped by many factors back to the original selection decision. Most organisations do not do this rigorously.

The consequence is that hiring teams are optimising for metrics they can see (time, cost, volume of applications) without a clear signal on the metric that ultimately matters.

What aligned incentives look like

Aligning incentives in hiring does not require eliminating placement-based models or restructuring internal HR reporting. It requires building in accountability for outcomes, not just activities.

A few ways organisations do this well:

  • Measuring hiring success at the 6- and 12-month mark, not just at the offer stage. Use that data to evaluate the hiring process, not just the individual hire
  • Including the hiring manager in the accountability for performance outcomes, not just the initial decision
  • Structuring fee arrangements with third parties to reflect retention and performance, not just placement. Longer guarantee periods, performance-linked structures where feasible
  • Treating early departures and underperformance as signals to analyse rather than isolated incidents to explain away

The process reflects what you measure

The quality of hiring outcomes is a direct function of what is being measured and rewarded throughout the process. Organisations that are serious about hiring quality will find that they need to build measurement systems that track outcomes, not just activity.

This is harder than tracking placements. It is also the only way to know whether the process is working.

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