When KPIs Become the Goal: How Organizations Lose Sight of What Really Matters
Picture the following: a customer service team boasting average response times under two minutes. Customers are always getting responses right away. Every target is being met. Yet, customers keep complaining, and complaints are only growing.
How is that possible?
After investigation, you find that while customers are receiving rapid responses, those responses may be doing little to resolve their issues. The team members have been incentivized to close tickets quickly because that is what’s being measured. The original purpose (making customers happy) is now secondary.
This can be a very common issue within companies of any size. KPIs that once represented success are slowly becoming success itself. They stop asking “are we accomplishing what we intended to accomplish?” and start asking “are we meeting the target?” The difference between these questions might seem negligible, but the implications can be significant.
KPIs have a place and are indeed beneficial. Companies need a way to evaluate performance, track progress, and understand where improvement is needed. Without measurements, we operate based on assumptions and intuition alone.
The difficulty is that there are many things that organizations care about that are not easily measured. A single number can’t capture employee loyalty. Employee engagement isn’t the same as a survey score. Collaboration, trust, innovation, and long-term business value just don’t fit on a dashboard. As a result, companies use leading indicators, which we assume represent a desired outcome.
Response time is often seen as a sign of good customer service. Attendance is assumed to show employee commitment. Productivity numbers are assumed to prove effectiveness. This is okay to an extent; in fact, these are often necessary indicators to track. Problems arise when the leading indicator outweighs the outcome it was originally designed to represent.
Economist Charles Goodhart explained this concept best in a statement now known as Goodhart’s Law: “When a measure becomes a target, it ceases to be a good measure.” This may sound academic, but the underlying concept is easy to grasp. The moment people are measured, rewarded, or punished by a metric, they naturally seek to optimize for that metric. This optimization might increase performance, but sometimes it only improves the metric.
Consider training for employees. We often measure learning by tracking whether training has been completed. Seems fair on the surface – if an employee completes the training, they are surely learning, right?
Well, not necessarily. When the number of completed trainings becomes a target, the focus shifts.
Employees quickly click through > managers ensure there’s 100% completion before deadlines > dashboards turn green > knowledge retention, skills development, and behavioural change stagnate. The company succeeded in increasing the number but made little to no progress on the desired outcome.
This trend plays out across various industries and sectors. Salespeople push for revenue through deep discounts, thereby impacting long-term profitability. Marketing campaigns aim for engagement numbers even though engagement might be disconnected from real customer value. Project teams celebrate on-time delivery even though the project might not provide tangible benefits. The issue here is not that the metric is necessarily incorrect. The problem is that it only represents a piece of the whole.
A useful analogy for KPIs is to think of them as road signs instead of destinations. Signs tell you if you’re going the right way, but we don’t mistake the sign for the destination itself. Organizations often make this mistake:
- Customer satisfaction is not a survey score. ❌
- Productivity is not a speed metric. ❌
- Attendance does not show employee contribution. ❌
These are signals used to help us understand reality, not reality itself. This difference becomes even more critical when organizations prioritize results while ignoring the actions that lead to those results. A revenue number from last month tells you what has occurred; it doesn’t tell you why. A customer satisfaction number indicates the outcome of a given interaction; it does not show the behaviour displayed during that interaction. By the time a revenue number changes, the behaviours that affected it may have been in place for weeks or months.
That’s why increasingly successful organizations are beginning to differentiate between outcomes and the actions that produce them. Outcomes serve as scorecards, letting you know where you stand. Actions and drivers help you understand how you got there and what you should do next. If leaders focus solely on the scoreboard, they are more likely to react to events after they have occurred. If they understand what causes the score to change, they will be able to influence future outcomes before they become problems.
Through this shift in thinking, we can reach an important conclusion: not all KPIs should be created equal. Some measures help us assess progress towards desired outcomes; others serve as proxies for those outcomes. For leaders, the biggest challenge is recognizing which is which. If the measure becomes the mission, organizations risk optimizing for the numbers rather than for the results they represent.
How Proxy Metrics Quietly Take Over
If most organizations know that KPIs are just indicators, how do so many organizations end up managing the indicator rather than the outcome?
The simplest reason is that proxy measures are convenient.
It’s often hard to measure the actual outcomes we want to influence. For example, real outcomes can take years to show any real results, often can’t be easily isolated from other variables that also affect the outcome, and usually don’t fit well on a dashboard. Proxy measures, on the other hand, are easily and readily available to be captured, reported, analyzed, and benchmarked.
Consequently, organizations tend to get caught in a cycle. Instead of asking “what would indicate we are truly successful?“, they ask, “what data do we already have?“. The available metric slowly evolves into the performance measure.
While this sounds relatively harmless, it quietly creates a shift. Individuals stop focusing on how well they are achieving the actual outcomes and begin talking about achieving the numbers on a dashboard.
Discussions focus on “have we hit the target?” rather than “have we made real progress toward achieving our goal?” The indicator becomes the lens through which we interpret performance, even when it tells only part of the story.
This isn’t to say proxy measures are useless; many of them can provide helpful insights. It’s simply assuming that the proxy and the outcome are one and the same, which is the problem.
For example, completing a training course may indicate that learning has taken place, but it doesn’t confirm any real change in capability. A high customer engagement rate can indicate interest, but does it lead to customer value? An increase in sales calls doesn’t always mean more quality customer conversations were held. These proxy measures may be useful in isolation, but they don’t tell the full story.
Unfortunately, once a metric is valued, people tend to drive it. Usually, this is not due to manipulation or intentional bad practices; it is simply how human beings behave. If a KPI target is linked to rewards, positive feedback, promotions, or performance reviews, people will make sure to meet this metric regardless of whether it aligns with desired outcomes.
The problem then becomes that an increase in a KPI may not necessarily lead to the desired increase in the outcome. There are countless examples throughout history of this behaviour, such as using the enemy’s body count as a measure of success in wars. Such a heinous & vile metric was easier to achieve than actual strategic objectives, and, eventually, simply measuring the metric became the objective itself. The measure dictated the outcome, rather than the outcome shaping the measure.
Now, whether we look at armies or organizations, both can fall victim to the same thinking pitfalls, for they are comprised of people who often err on what is “easier”. Leaders can start managing what’s easy, rather than what’s important.
In a much less combative example, take the instance of a decrease in cost-per-lead: at face value, it doesn’t make much difference if lead quality falls dramatically; an improvement in customer service response times does little if customers still have the same unresolved issues, and a team celebrating meeting all its targets still doesn’t achieve its business goals. Each example shows that the KPI rose or fell as intended, but the desired outcome didn’t.
Perhaps the most intriguing part is that organizations and their people usually know the source of the disconnect:
- The sales team knows when target numbers promote busywork
- The customer service department knows that quick responses are not the same as solving customer problems
- Managers know that an increase in attendees does not necessarily correspond to greater commitment or contribution
However, when people feel a sense of control and certainty that a KPI is moving in the right direction, it becomes difficult to abandon the number, even if we know the real outcomes aren’t shifting as desired.
Numbers, nonetheless, seem more objective and reliable. They are concrete and clear, and they appear to remove uncertainty and complexity from a situation. Clarity, though, is not always accuracy.
A dashboard displaying green lights may suggest great progress, while unseen problems begin to fester beneath the surface of these simple indicators. As an organization becomes adept at performing the actions that achieve the highest success scores on a given metric, it simultaneously develops considerable inertia in achieving its real objectives.
This is why mature performance management systems do not focus on individual metrics, but rather on the overall view. A mature system must incorporate a mix of qualitative data alongside quantitative metrics, so that no individual KPI carries too much weight in determining perceived success.
The real question is not whether there should be proxy metrics at all; it’s whether they are remembered for what they represent. If leaders forget what a proxy metric is supposed to indicate, an organization will spend its energy improving the number rather than the actual desired outcome.
The Five Most Common KPI Traps in Modern Organizations
This quest for proxies seems to manifest itself in infinite ways, yet it follows the same several templates that recur over time, across industries and across hierarchical levels. Although the metrics might vary widely, the error appears eerily similar: the metric eventually succeeds in displacing the thing it was intended to measure.
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Response Time Replaces Customer Care
Many customer service teams monitor response time for good reason. Customers typically appreciate quick communication.
The issue is when that speed becomes the primary goal. A team might respond to every single inquiry within minutes, but the response could be generic and fail to resolve the issue. Customers are acknowledged quickly, but still require multiple touchpoints to reach a solution.
This looks good on paper, but in practice, it increases customer frustration. Response time is an important measure, but it isn’t customer service. Customer service is all about understanding problems, solving them, and generating positive experiences. Speed may well be an important factor in achieving these goals, but it alone cannot do so.
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Engagement Replaces Value
Engagement has emerged as perhaps the most ubiquitous performance measure in the digital age. Businesses track page views, click-throughs, comments, shares, downloads, logins, and a million other interactive behaviours. Such figures are often collected automatically and can be updated in real-time.
The problem is that this engagement does not necessarily mean any value is being created.
Some content receives millions of page views, while its consumers gain minimal new information. A few software platforms log millions of user logins – their consumers remain stuck performing rudimentary tasks. Several meetings involve many staff members, yet only a handful contribute to improving outcomes.
Engagement does not necessarily mean useful things are happening. It signals that people are attentive. If organizations focus solely on engagement, they create organizations that focus on visibility.
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Productivity Replaces Effectiveness
One of the oldest and most frequently measured indicators of performance is productivity.
The number of tasks performed, phone calls made, e-mails sent, reports generated, and tickets closed can tell you something about how busy things are and about operational efficiency. However, you should never confuse activity with effectiveness.
One salesperson can be two or three times as active (in terms of calls made) as another, while identifying far fewer useful sales opportunities. One project team may tick off all the task items on their schedule without having solved the problem the project was designed to fix.
- Productivity asks, “How much work got done?“
- Effectiveness asks, “Does it matter?“
Organizations that focus on productivity often become incredibly busy without ever becoming more effective.
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Attendance Replaces Contribution
One of the easiest measures to monitor is attendance.
People either turn up or they do not. The measurement of contribution, however, is far more involved: someone can attend every meeting and add nothing, whereas another may contribute only two or three times, yet those points may be instrumental in forming key decisions.
It may also be the case that an organization equates attendance with contribution when, in reality, contribution levels depend on involvement, knowledge, collaboration, and the ability to solve problems. Attendance is a good operational measure. That said, it is NOT an indicator of success.
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Output Replaces Outcomes
The most frequent KPI pitfall is the confusion between outputs and outcomes.
- Outputs are the products an organization puts out.
- Outcomes are the effects of these outputs.
Although obvious when articulated, it is often lost when trying to measure things.
Think of a facility team whose job it is to clean an office building. What the facility team measures might include the number of floors cleaned, the time spent cleaning, or the amount of cleaning supplies used. These are all outputs because they show activity. The number of floors is an output; the number of floors scrubbed (to the point they were clean and didn’t feel sticky) would be an outcome.
What if the employees continue to complain that the floors are sticky? The output numbers suggest the team is successful, but the outcome proves otherwise.
The same logic applies to training programs, change management initiatives, marketing campaigns, and transformation projects that are measured by training completion, logins, impressions, and milestones. The output metrics tell us that we did things, but the outcomes measure whether we actually made anything happen. Both are needed.
When we are so focused on outputs, however, we run the risk that they become the sole measure of success, so the team can meet every goal, complete every task, and satisfy every reporting requirement but do absolutely nothing. That’s why there is such risk associated with proxies – they allow us to progress on paper while standing still.
What High-Performing Organizations Measure Differently
At this point, it may sound like the answer is just to get rid of KPIs entirely. Far from it. The matter of fact could not be farther from the truth.
While organizations need measurement, leaders need visibility into performance, and teams need feedback to understand whether their actions are moving the organization in the direction the leadership intends.
The problem is not measurement itself; the problem is making sure the measurement is connected to the thing it’s supposed to be measuring. High-performing organizations understand that KPIs are learning and decision-support tools, not outcomes in themselves. They use metrics to understand performance, and they avoid the urge to turn a metric into an outcome.
- I) One of the most critical adjustments they make is to separate outcomes from the behaviours that lead to them.
Many organizations focus almost entirely on outcomes: revenue, customer satisfaction, retention, profitability, market share, and similar figures that often top executive dashboards. These numbers are important, but they are also trailing indicators – they tell you what already happened. When customer satisfaction scores start to slip, the underlying reasons may have existed for months. When revenue declines, the factors that led to the drop may have been building for quite a while.
Whilst high-performing organizations do keep a close eye on outcomes, they also identify the behaviours and performance drivers that contribute to these outcomes:
- A sales team might be concerned with revenue as an ultimate outcome, but it also looks at the quality of prospects it’s working on, the level of activity its team has-how many calls and meetings-and its closing rate. All of these will affect revenue and allow leaders to spot problems before they significantly impact sales figures.
- A customer service team will continue to track customer satisfaction scores, but it will also look at how many times a customer contacts it for a single issue, how quickly agents respond, the quality of communication, and customer effort.
The objective is not necessarily to replace outcome measures with behaviour measures, but to tie them together.
Outcomes tell you where you are, behaviours give you an idea of how you got there, and where you are likely to go in the future. This changes how you use KPIs from simple reporting tools into proactive management tools.
- II) Another difference in mature performance systems: these organizations rarely use a single metric for an important organizational objective.
Let’s use customer experience again: organizations often turn to NPS or customer satisfaction scores. These have value, but no single metric adequately describes the concept. It may make more sense to use customer satisfaction metrics alongside retention rates, complaint counts, resolution speed, customer effort, and actual customer feedback.
Each one captures a different piece of the puzzle, which is why they should be looked at together. The same logic applies to nearly every other aspect of the business.
- Revenue should be examined along with profitability.
- Productivity along with quality.
- Employee engagement along with retention and performance.
- Efficiency along with effectiveness.
When measures are viewed as interconnected pieces of information, the temptation to optimize one measure at the expense of another diminishes significantly.
III) Lastly, and probably most important of all, high-performing organizations retain an element of wonder about what they might be missing with their KPIs.
They understand that metrics are a form of simplification and allow us a glimpse into the world of perceptions. No dashboard can fully capture customer trust, employee loyalty, innovation, culture, teamwork, or the ability to adapt; yet all of these can be profoundly important drivers of organizational success.
Instead of assuming that every important thing can and must be expressed as a number, leaders at mature organizations accept the inherent limitations of measurement and complement their data with conversations, observations, customer inputs, employee knowledge, and professional judgment.
In other words, they use data, but not as a replacement for decision-making, since the purpose of performance management is not perfect reports but reports that provide a deeper understanding of performance. Such work takes more than merely watching numbers on a screen.
A Simple Test for Every KPI You Use
The risk of proxy metrics is that it is uncommon for a bad metric to be bad to begin with.
They usually begin as rational indicators of important goals and slowly take on a life of their own as companies get increasingly obsessed with bettering the indicator itself. This necessitates periodic reevaluation.
Each of your KPIs should, on occasion, be examined with a basic but critical question: Is this metric still telling us something about our performance, or has it become the performance?
The answer may not be crystal clear, but a few practical questions can reveal a KPI that might be losing sight of the original goals.
What outcome is this KPI supposed to represent?
Each metric should relate clearly to an organizational goal.
If the goal is unclear or hard to articulate, the KPI might be measuring activity rather than progress. One helpful test is the question “Why should we even care about this number?” The answer often highlights whether the metric is still relevant to the desired outcome.
If the KPI improves, does the outcome necessarily improve?
If you can improve the metric without improving the outcome, there is a risk that the KPI serves as a surrogate for something weaker.
- Training completion can increase without any skills being gained.
- Website traffic can go up without any value being added.
- Response times can increase without the customer’s problems being solved.
You should be very wary whenever it’s possible to optimize a KPI independently of an outcome.
What behaviours does this metric encourage?
Performance metrics influence all actions. Some actions will be productive, some less so.
- A sales performance metric can prompt positive customer outreach. It may also prompt undue discounting.
- An activity performance metric can prompt work, but it may also prompt busywork.
So, the question is not simply whether a KPI triggers activity, but whether it triggers beneficial activity.
Can people hit the target while missing the point?
This issue seems to be at the very core of Goodhart’s Law: if it is possible to obtain the metric without producing the desired result, then the KPI may become the goal.
A lot of the examples mentioned within the article fall into this category – where the team “hit the number” and still made little real progress toward the overall aim. In these cases, other indicators may be necessary.
What important outcome are we not measuring?
Each KPI measures just one dimension of the business. As attention to any specific KPI increases, another aspect of performance will likely fall into a “blind spot.”
- Customer acquisition may be analyzed, while customer retention is neglected.
- Productivity may be measured, while quality is left out of the discussion
- Operational efficiency may be increased at the expense of innovation
The ongoing question of what is not on the dashboard will ensure that important business outcomes do not fall completely out of the organization’s mindshare.
Final Thoughts
KPIs remain one of the most powerful tools for leaders to align efforts, monitor performance, and allocate resources.
With that said, they are but a tool. They break down when an organization forgets the difference between the metric and the outcome the metric is supposed to capture.
- A fast response isn’t great service.
- High engagement isn’t value creation.
- Productivity isn’t effectiveness.
- Attendance isn’t a contribution.
- Output isn’t impact.
The best organizations remember and manage accordingly; they use numbers to inform judgment rather than replace it. They focus on outcomes while being acutely aware of the behaviours that produce them. They remain attuned to the fact that a helpful metric today can become a damaging target tomorrow.
At the end of the day, a KPI’s value isn’t in proving that we can win at numbers. Its value lies in helping us improve our numbers. That’s when KPIs truly fulfill their potential as indicators of success rather than proof of it.
