Startup Success Stories: Performance Incentives and Unexpected Hurdles

The setup I keep landing on pays out on one thing: a lead that gets contacted fast and turns into a booked appointment. I pick one number for the whole team, put it on a single page, and pay on it monthly. Extra metrics tend to hand people a second thing to game, so the plan stays short enough to explain in a minute.

The unexpected challenge shows up almost every time. Once follow-up speed gets rewarded, people start sending a lazy one-line text just to stop the clock. The speed number looks great and the bookings don’t move. Speed does matter, since MIT research found you’re 21x more likely to qualify a lead when you respond within five minutes. But it only pays off when the first message is a real one.

So I made the booking the thing that gets paid, and speed became the gate to earn a shot at it. I also write the first-touch messages with the team, so the fast reply is one worth sending. Then once a week we read a handful of actual conversations together, out loud. The gaming fades quickly once people know someone is reading the threads.

The system we built rewards honesty more than a high score.

Each quarter, every team member completes a self-assessment. They describe their most significant contribution to company goals, with the initiatives and measurable outcomes behind it, and they set specific goals for the next six months with targets and timelines. A final written question asks how they invested in their own professional development and applied what they learned.

The incentive sits in the overall rating. Each employee scores their performance from 1 to 5, and their supervisor scores them separately. Neither sees the other’s number. When the two ratings match, the employee earns a bonus.

The design rewards self-awareness. It encourages people to see their work the way their manager does, and it encourages managers to give feedback clear enough for their teams to read.

The unexpected challenge was how differently people judged themselves. Some employees undersold their work, while others oversold it. We addressed it by rewriting the questions to ask for evidence instead of impressions. Employees now point to specific initiatives, measurable outcomes and dated targets. A rating that has to rest on facts becomes far more objective, and it gives the supervisor something concrete to discuss.

My advice to other founders is to reward accuracy along with achievement, and to keep review questions concrete. Asking for measurable outcomes and dated goals turns a review into a working plan for the next quarter.

Sameer Somal

Founder & CEO, Blue Ocean Global Technology

A couple of months after implementing individual incentives at Happy V, everything appeared to be working. Every function was meeting its KPIs. The Marketing team was beating its Customer Acquisition Cost (CAC) goals. Ops were meeting their Fulfillment Service Level Agreements (SLAs). The CX Team was hitting their Response Time metrics.

However, an unintended consequence occurred. As soon as the CX Rep met their Ticket Close Metric (e.g. close a ticket), there would have been no need to take 20 minutes to walk Marketing through a repeat customer complaint. There would also have been no reason to report a Packaging Issue back to the Factory Floor. We created a system where every person technically reached their target KPI numbers and inadvertently created a culture where employees ceased to assist one another. This is a failure mode nobody tells you about.

We eventually resolved this by tying roughly a third of the incentive pool to a shared cross-functionally defined goal – Retention of the Subscription Base – which rewarded all parties for the Ticket Hand-Off, Formulation Question, and Packaging Fix. It took approximately another quarter before employee behaviors began to shift. The Lesson: If the only way your employee is being incented is by how well their individual Scorecard is performing, then expect Collaboration to be the first thing you are rewarding your Employees NOT to Do. Next time, we’ll build the shared metric in on day one, not quarter three.

I’ve built and scaled teams across e-commerce startups and major corporates like Citi and Visa, so I’ve seen performance incentives work beautifully and blow up spectacularly.

At Mercha, the biggest unlock was tying incentives to *communication quality*, not just output. Early on we had a customer in Melbourne — head of marketing at a construction company — who had a bad experience simply because nobody called her when her order was delayed. No one was accountable for that gap. Once we built our “high touch” follow-up into actual team expectations with real accountability behind it, the culture shifted fast.

The unexpected challenge? People started gaming the *appearance* of communication rather than the substance of it. A quick check-in call that resolved nothing was still a check-in call. We fixed it by tying recognition to *customer outcomes* — did the customer reorder? Did they refer someone? That’s the real signal.

The takeaway: in a startup, your incentive system tells your team what you *actually* value, not what you say you value. Make sure those two things match, or you’ll build the wrong culture fast.

When creating an incentive program the first thing to learn is what ever you put points towards will become what your employees work towards.

Our original intent was to create a program that rewarded the actions of our employees that help us build better product and better relationships with our customers. Quantity and pace were easy to quantify and we had metrics that tracked those things. What was difficult to quantify were qualities of work that weren’t as black and white. Such as quality of decision making. How they handled things outside of their job description and keeping product up to a certain standard no matter what batch number you pulled it off the line. So when building out our point program we wanted to reward these things as well. Which meant learning how to define them in a quantifiable way.

Something we weren’t prepared for when we initially launched was having our employees compete with each other on things that we should have been collaborating on. Once we started weighing more heavily what individuals did vs what was done as a whole we started to see that hand off’s from other departments were not being as efficient. After making adjustments to our point program to also reward our employees on things that benefit the team as a whole. We learned that if you want your employees to do something they need to have a reason to. Having a incentive program will communicate to your employees what you as the business value the most.

When we first brought in performance incentives, I thought the hard part would be deciding what numbers to attach to them. It actually turned out to be getting people to focus on the right things once those numbers were there.

We had a few situations where someone could technically hit their target while the actual quality of the work wasn’t where we wanted it. That was the part I hadn’t really anticipated. Once people know what you’re measuring, naturally, that’s where their attention goes.

So we changed the system instead of trying to make the targets more complicated. We kept the measurable goals, but added more weight to the quality and outcome of the work. We also made it clear that not everything valuable someone does is going to show up neatly in a number.

That experience made me pretty careful about incentives. If you measure the wrong thing, people aren’t necessarily doing a bad job. They may just be doing exactly what the system is asking them to do.

Now, before putting any incentive in place, I ask myself whether I’d actually want the whole team optimising around that metric. If the answer isn’t an obvious yes, it probably shouldn’t be part of the incentive.

We redesigned our incentive system around business outcomes rather than activity. Instead of rewarding people simply for making more calls, generating more leads, or completing more tasks, we put more weight on the quality of the outcome qualified opportunities, conversions, customer retention, and successful handoffs between teams.

The unexpected challenge was that people initially optimized for the metric they could influence most easily. For example, increasing lead volume looked good on paper, but it did not necessarily produce better customers. We had to adjust the system so that one team could not “win” its target while creating problems for the next team.

The fix was to connect incentives across the customer journey and review the metrics regularly rather than treating the original formula as permanent.

The biggest lesson was that an incentive system is not just compensation; it tells people what the company actually values. Once we understood that, designing the right metrics became more important than making the bonus itself bigger.

When we introduced a performance incentive system, the first decision was to avoid rewarding only individual output. In a software company, results are usually shared across engineering, delivery, support, sales, and project management, so a purely individual bonus can create the wrong behavior.

We built the system around a mix of company goals, team outcomes, and role-specific performance. That gave people a clear connection between their own work and the broader business result, while still recognizing individual contribution.

One unexpected challenge was metric gaming. Even when people act in good faith, they naturally optimize for whatever is being measured. If you reward only delivery speed, quality can suffer. If you reward only utilization, people may avoid necessary internal work. If you reward only sales, poor-fit deals can create problems downstream.

We addressed that by reducing the number of metrics and adding a qualitative review layer. The incentive could not be earned simply by maximizing a single number; managers also had to consider quality, collaboration, customer impact, and the sustainability of the result.

That made the system more balanced and easier to trust.

My advice is to keep incentive plans simple enough that employees can explain them back to you. If people need a spreadsheet to understand how they are rewarded, the system is probably too complicated.

The lesson was that incentives do not just measure behavior; they shape it. Before attaching money to a metric, ask what people might do differently because that metric exists.

I’ve been careful with performance incentives because the wrong metric can change people’s behavior in ways you didn’t intend. In an engineering team, for example, rewarding people simply for completing more tasks can encourage someone to take on easy work while avoiding the harder problems that may matter more to the project. What I’ve found more useful is looking at performance in the context of the work itself. I want to see whether someone is taking ownership, communicating when there is a problem, helping the team move forward, and delivering work that actually holds up after it is completed.

The unexpected part is that people can start optimizing for the incentive instead of the outcome. Once you notice that happening, you have to be willing to change what you are measuring rather than keep the system because it looked good when you introduced it. I’d rather have a simpler incentive structure that encourages the behavior we actually want than a complicated one that creates the wrong priorities.

The most important aspect of an incentive system is ensuring employees can clearly link rewarded behaviors to outcomes that matter to the business.

I recommend keeping the initial structure simple. Too many metrics can turn an incentive plan into a reporting exercise rather than a tool that helps employees prioritize their work.

A key challenge with new incentive systems is that employees adapt to what is measured. Metrics that reward activity without considering quality or customer outcomes can produce unintended results.

I favor using a few meaningful measures, along with regular reviews to ensure incentives drive the intended behaviors. If a metric encourages optimizing numbers over results, I would adjust the metric rather than fault employees for responding to the system.

Coming from M&A advisory and now building Corpiya, I’ve had to design incentive systems that work across multiple jurisdictions and legal cultures — which forces you to think about performance incentives very differently than a single-market startup would.

At Corpiya, the biggest structural decision was tying incentives to governance milestones rather than pure revenue metrics. When you’re building an AI-driven entity management platform, the work that matters most — clean compliance handoffs, successful client entity launches in new markets — doesn’t always show up immediately in a revenue number. So we rewarded those process completions explicitly.

The unexpected challenge was time zone and jurisdiction asymmetry. Team members handling entity setups in Southeast Asia were hitting their milestones at completely different rhythms than those working European matters. Early on, this created quiet resentment because the cycle lengths felt unfair. We solved it by normalizing incentive cycles to project completion stages rather than calendar quarters.

The broader lesson: in a global operation, calendar-based incentives quietly punish people based on geography, not performance. Restructuring around milestone gates fixed alignment almost immediately.

At CortiCare we’ve scaled our tele-EEG network by tying performance incentives directly to techs who maintain real-time coverage ratios across multiple sites while using AI alerts to flag issues fast. This approach rewarded efficient use of the nationwide system rather than raw hours logged.

One unexpected challenge came when early metrics pushed staff toward constant screen time, which clashed with the work-life balance needs common in neurodiagnostics roles. We overcame it by shifting incentives to include protected downtime blocks and peer support triggers, letting techs handle more hospitals remotely without fatigue.

That adjustment kept quality high and helped extend local teams instead of replacing them.

I built the incentive system at EnformHR around behaviors tied to our HR strategy, not just revenue: clear job descriptions, timely client follow-up, compliant processes, and managers giving useful feedback. We used role competencies, SMART goals, and regular check-ins so nobody had to guess what “good performance” meant.

One example: for HR Business Partners, incentives included project quality markers like clean onboarding workflows, accurate compliance work, and client communication, not just hours billed. That kept the system aligned with our promise to act as an extension of the client’s team.

The unexpected challenge was that people interpreted goals differently. “Be responsive” means one thing to one person and something totally different to another.

We fixed it with simple rubrics and calibration conversations. I also like pulse-style check-ins because they surface confusion early, before an incentive plan turns into frustration or quiet disengagement.

We introduced a performance incentive system that combined individual goals with a shared team target. Before launching it, we asked employees to test the proposed criteria against their everyday work. That helped us spot goals that sounded reasonable on paper but depended too much on decisions outside someone’s control. We then ran a trial cycle so everyone could see how the system worked before it affected their pay. The unexpected challenge was making less visible contributions count. Someone could meet every personal target while a colleague spent hours helping new hires or resolving problems for other teams. We realised the system could discourage work the company depended on.

We addressed this by adding a clearly defined collaboration component, with specific examples of what qualified. Managers reviewed their assessments together to check that they were applying the criteria consistently. What made the rollout work was giving people a chance to question the rules and seeing us act on their feedback. My advice is to test an incentive system against real situations before attaching money to it. Ask whose contribution it might overlook and what behaviour it might accidentally reward.

I tied bonuses for my remote developers to client satisfaction scores and sprint completion rates, split roughly 70/30. Within the first quarter, sprint velocity rose across every team. But the unexpected problem was that developers started gaming the satisfaction metric by over-communicating with clients on minor issues, flooding Slack channels to seem responsive. Clients got annoyed, which dragged scores down for some of the best performers on the team.

I had to pull the satisfaction component apart and rebuild it. Instead of a single client rating, I broke it into three inputs. On-time delivery of agreed milestones, number of revision cycles per feature, and a brief monthly client check-in score. That made it much harder to game because no amount of extra Slack messages would move the needle on revision counts or delivery dates.

The second version stabilized within about six weeks. My top performers saw their bonuses increase because the new structure reflected their output, and the mid-tier developers had clearer targets to work toward instead of the vague anxiety that came with subjective ratings. If I were designing it again from scratch, I’d skip any single-input metric entirely and start with at least three measurable dimensions from day one.

We kept the incentive system pretty simple. We picked a few things that really mattered to the business and tied rewards to those outcomes.

What caught me off guard was what happened next. People became a little hesitant to bring up problems because they didn’t want a mistake to affect their incentive. We realized we had accidentally created a system where hiding a problem could feel safer than raising it.

That taught me something important: an incentive system can change behavior in ways you never intended. We adjusted it so that identifying risks early and helping solve them was valued too. Once people realized that telling us about a problem early was a strength, not a penalty, the system started working much better.

We implemented 5% of total wages earned during a quarter as a bonus when a revenue goal was hit as a team to improve patient experience by getting everyone working toward the same outcome and increasing awareness, accountability, and ownership in each role. That was something financially I could budget out for the year. In addition, I thought it would be deemed ‘fair’ and acceptable by team members based on individual credentials, responsibility, and education which were already reflected in their base pay. For example, a PA and MA both received 5% of total wages earned but it differed because their base compensation reflected their respective responsibilities. The backlash, of course, was “I contribute more to the overall revenue,” or “I carry out the treatments and the workload.” In response to the feedback, we layered individual goals with an additional percentage on top of the wages. So, the PA now could get up to 12% in total wages earned during the quarter. The individual incentive bonus could only be earned after the team achieved its shared goal.