Pay for Output or Pay for Risk? Incentives Versus Innovation

The way companies pay people reveals a tension between getting more done and getting new ideas, two goals firms often assume go hand in hand. The classic view treats them as the same. It holds that paying people directly for output, through performance pay and piece-rate bonuses, ties their effort tightly to results and lifts everyday productivity (Bandiera et al., 2007; Ederer & Manso, 2013). Pay people for what they make, the logic goes, and they will make more, because now their interests match the company's.

The key insight: rewards should match the kind of work they govern — one pay formula cannot optimize both routine output and risky invention.

But that same tight link can choke off innovation. Strict pay-for-results discourages the risk-taking and experimenting that new ideas require, because creative work involves lots of failure that such pay schemes punish (Ederer & Manso, 2013). An employee rewarded only for clear, measurable wins learns to avoid the uncertain bets that breakthroughs come from. The pay system that gets the most routine output quietly trains people to stop taking the chances real invention needs.

So the very thing that boosts productivity can undermine innovation, which means companies face a genuine clash, not a happy combo. A firm that wants both steady output and bold creativity cannot just turn up the performance pay and expect both to rise. Past a point, sharper rewards buy more predictable work while killing off the unpredictable work, and the two goals start to fight, which surprises managers who assumed money motivates everything the same way.

The fix is to redesign the rewards, not throw them out. Pay schemes that forgive early failures and reward eventual long-term success can encourage the experimenting that innovation depends on (Ederer & Manso, 2013). By cushioning the inevitable flops of trying new things and paying off when the long-term bets finally land, these setups make risk-taking sensible instead of self-destructive. The point is not to go soft on accountability but to aim it at results that take longer to show up.

The bigger lesson is that rewards should match the kind of work they govern. Tight, output-based pay fits routine work where the path to results is known. Failure-forgiving, long-term pay fits creative work where the path is uncertain and mistakes are part of the deal. Matching the reward to the task, rather than using one formula everywhere, is how companies get both productivity and innovation.

Where this fits in the SalesEvolution system

Sales comp is the sharpest version of this. Pure pay-on-closed-revenue maximizes this quarter's predictable output — and quietly discourages reps from the risky, long-cycle experiments that open new markets or land transformative accounts. Designing incentives that reward proven motions while protecting and rewarding smart long-term bets connects directly to the reward-design folly and to how we think about AI-assisted sales management. Getting it right is a core leadership skill we build through coaching and training.

Every claim above links to its peer-reviewed source; browse the full research & sources.