The Politics of KPIs: Why Metrics Are Never Truly Neutral

Written by Andrei Costea on August 10, 2026. Posted in KPI

The Politics of KPIs: Why Metrics Are Never Truly Neutral

If you present two experienced chief executive officers with precisely the same digital dashboard, one will zero in on cash flow and return on investment. 

The other will bypass them and ask to know customer retention, employee engagement, and product penetration rates. Both will be right, and both might even become brilliant leaders, but before they make any decisions, the CEOs will have implicitly expressed what success will look like for them.

It is an issue that organizations seldom concede. Organizations want to pretend that the Key Performance Indicators (KPIs) on any dashboard are impartial, that they are simply observers of what is really going on. People put their faith in dashboards because numbers are perceived to be objective. 

However, KPIs do not exist to be discovered. They were invented. Someone had to choose what mattered most; someone defined success, agreed on thresholds for it, frequency of assessment, and selection of appropriate measures. Long before any of these figures had been generated, human beings had to decide how a compelling narrative might unfold for these numbers. 

This should not discredit the utility of the KPI; rather, it should humanize it. The more organizations grasp the reality that the KPI is a deliberate fabrication, the more successful they will be in designing performance management that aligns with strategic intent rather than covert assumptions.

The Myth of “Letting the Data Decide“

Modern organizations commonly describe themselves as data-driven. It is a buzzword you’ll find in strategy documents & presentations from a wide range of industries. Underlying all of these instances is the notion that data ought to inform decisions instead of instinct.

From a general perspective, it is the perfect path. From a narrow perspective, problems start to creep in, though, when data is automatically presumed to be objective. Data rarely makes its journey to us in a void. Any dataset exists for the simple reason that someone thought that it would be valuable. Any KPI exists because someone has decided that it represents a significant area of performance.

Take, for example, a company that has decided to quantify customer service performance.

A first step might be fairly easy to determine. Develop some KPI’s, for example. Yet, which one to select?

• To be able to respond within a few moments?
• Achieve first-contact resolution? 
• CSAT?
• NPS?
• Reduce the number of customers lost?
• Reduce the number of complaints received?

Each data set offers a different perspective; it supports a distinct way of working and motivates employees to focus on a unique perspective within customer support. The data alone is not the most important priority. It is the people who comprise the organization. Even to opt not to make a measurement constitutes a decision in its own right.

By omitting the monitoring of employee happiness from the leadership dashboard, the company has subtly signaled to staff what needs more focus and consideration. Therefore, in this respect, the dashboard is not only a descriptor of the actual organizational state, but it also creates the organization itself.

Every KPI Reflects A Worldview

The single biggest misunderstanding about performance measurement is the idea that KPIs exist in a vacuum, devoid of the people who build them. KPI “1” doesn’t just describe reality; it defines it. Consider two almost identical manufacturers: 

Company 1. A CEO who spent 20 years in finance leads them.

Everything in the quarterly board report is financial: Opex, Inventory Turnover, EBITDA, Working Capital. Conversations naturally center around efficiency and the bottom line. 

Company 2. An operations engineer leads them.

The dashboard’s a completely different beast.

Quality, uptime, scrap rates, Overall Equipment Effectiveness – because in their eyes, quality is what drives the company forward. Two similar companies, two different roles, but one set of dashboards tells a completely different story about what’s worth talking about, purely as a consequence of the personal histories of the leaders.

It’s a pattern that repeats everywhere. An operations person in a hospital might focus on utilization rates and lengths of stay to better predict capacity requirements, while a clinician with a patient focus might emphasize read rates and post-treatment outcomes. It’s not about which is “right.”

Both have value. Both obscure other important things, because the difficult but useful reality is this: KPIs don’t just measure your priorities, they display them.

Measurement Is Also An Exercise In Omission

When organizations talk KPIs, there’s a lot of discussion about what we should measure. There’s very little discussion about what we’re not going to measure. 

Every dashboard has limited real estate. Every organization has finite analytical resources. Selecting one KPI often means leaving another behind. That act of omission defines behaviour just as much as what lands on the dashboard. 

Consider a software company focused on frequent feature releases. They emphasize deployment frequency, development speed, feature usage time, and release cadence. This company becomes an expert at pushing features out the door, yet if it doesn’t emphasize measuring feature adoption with similar prominence, it might find itself continuing to crank out features with no clear signal of whether anyone is using them. The KPI’s they picked are perfectly fine, just incomplete.

This applies well outside of software. 

• Retailers may perfect sales efficiency and miss out on customer lifetime value. 
• Universities can increase graduation rates at the expense of the actual quality of education. 
• Healthcare providers may decrease patient wait times, but at the expense of staff burnout. 
• Manufacturing may maximize production output, but at the expense of product quality and defect rates.
• Customer support teams may reduce average handling time, but at the expense of customer satisfaction and first-contact resolution.
• Logistics companies may optimize delivery speed, but at the expense of delivery accuracy and package condition.
• Marketing agencies may increase campaign volume, but at the expense of campaign effectiveness and client ROI.
• Hospitality businesses may maximize room occupancy at the expense of the guest experience and repeat bookings.
• Call centers may focus on the number of calls handled, but at the expense of actually resolving customer issues.
• Construction firms may prioritize finishing projects on schedule, but at the expense of workmanship quality and long-term durability.

Organizations don’t disregard these outcomes because they don’t want to. Typically, they simply aren’t being measured with equal visibility. Whatever we’re paying attention to gets better. Whatever we’re not tends to atrophy when competing for attention and resources. That’s why KPI design is a strategic exercise, even though many companies treat it as a math exercise.

KPIs Shape Organizations Long Before They Measure Them

Maybe the most fundamental transformation executives need to make in their approach to KPIs is understanding that they aren’t just retrofitting performance to evaluate what has already occurred. They are prospectively influencing what occurs. When an organization rolls out a new KPI, the company’s behaviour shifts almost immediately: 

• Managers start deploying resources differently.
• Employees prioritize differently.
• Different departments redefine what constitutes success. 
• Investment decisions shift. 
• Performance evaluations change. 
• The language used in internal meeting rooms shifts.

In short, KPIs do not just observe an organization from afar. They are involved in building an organization, and this is precisely why discussions of performance metrics can sometimes turn emotional. 

Outwardly, business leaders appear to be arguing over numbers. Internally, what they’re actually arguing over is something more fundamental: 

What kind of organization are we aspiring to be? 

1. One finance executive might argue that, given the economic environment, profitability must be given greater visibility. 
2. An HR executive might emphasize that employee retention provides an early signal of long-term viability.
3. A third executive overseeing customer experience might contend that retention needs to be emphasized just as much because losing today’s most loyal customers will cause problems for tomorrow’s financials.

Each executive can generate persuasive data and can construct a well-reasoned business case. However, under each case, there lies an underlying question no scorecard can answer directly: 

Which version of the organization’s success should we endeavour to achieve? 

That is why discussions about performance measurement seldom stop at purely technical questions about methodology. Instead, they are discussions about priorities, strategy, goals, objectives, vision, and identity.

That makes them inherently political (though not necessarily in the partisan sense of the term, but rather in the political sense of negotiation and compromise among stakeholders). Acknowledging this is not a weakness in performance management, but the first prerequisite for more mindful use of KPIs.

Who Defines Success?

If every KPI is rooted in a human choice, a much larger question arises: 

Who gets to make that choice? 

On its surface, it may seem simple. Leadership sets out the organizational strategy and KPIs, then monitors progress toward those goals. However, that rarely pans out in practice.

Companies are divided into departments with different competencies, skills, values, and views of what success looks like. Finance, Operations, HR, Marketing, Sales, Customer Success, IT: each looks at the business from a distinct vantage point. None is correct, none is wrong, yet most importantly, none is sufficient alone. 

It’s not so much that leaders lack consensus on what may be the best path for performance management; it is much more so that they lack consensus on which performance metrics matter most.

At that point, KPIs become subtle tools of governance. Choosing a metric becomes about who we want to have in leadership conversations, which projects are funded, and which team members are celebrated. Ultimately, each KPI is a person’s priority amplified.

Different Backgrounds create Different Dashboards

One might be inclined to think that executives in identical positions build similar performance dashboards, but our experience with real-world examples suggests otherwise. Two leaders can arrive to manage the same organization, with the same market dynamics and strategic ambitions, yet still focus on completely different sets of key performance indicators.

What influences them most is often shaped long before the executive suite was within reach.

Scenario 1

Suppose a retail company appoints a new CEO. 

One candidate had twenty years as a Chief Financial Officer. Unsurprisingly, the dashboard the executive team reviews focuses on gross margins, operating costs, inventory turns, and the cash cycle. The conversations always start with financial discipline, simply because the executive has been speaking that language for their entire career.

Scenario 2

The company promotes the former Chief Customer Officer.

Suddenly, the dashboard is dramatically reframed. The customer lifetime value (CLV), the customer repeat purchase rate, the Net Promoter Score (NPS), and the customer retention rate are the focus of the top portion of all reports. Financial metrics matter, sure, but they are now a consequence of customer experience.

Neither CEO is being obtuse – they are just asking different first questions, and this is the pattern we see across many different kinds of companies.

Let’s say a manufacturing organization promoted an engineering executive who has great rigour in monitoring the defect rate, equipment reliability, production throughput, on-time delivery performance, and OEE.

Now, change the chief executive to a commercial executive, and one begins to see a shift in the focus of reports towards the delivery performance, market share, customer demand, and revenues. Both individuals want the organization to do well, but they have different visions of how to achieve that.

KPI Ownership Isn’t About Control – It’s About Influence

The politics of KPIs seldom originates from people fudging their numbers. More frequently, the politics are generated because all functions honestly believe that their numbers need a higher profile than everyone else’s numbers. Picture a leadership discussion where next year’s executive dashboard is being developed.

• Finance will argue that increasing cash conversion and profit is more important than any other objective during economic instability.
• Sales will argue that pipeline value and revenue growth need greater focus, since future profits depend upon present revenue. 
• HR will claim that employee turnover is high and that replacing talented staff is becoming extremely expensive. 
• Customer support will show that reducing churn delivers far greater lifetime value than acquiring new business. 
• Operations will insist on focus and delivery – the ultimate success factor.

Everyone has credible evidence and data to present. Everyone has good reasons to make their case. No one is trying to pull the wool over anyone’s eyes; rather, each party is conducting a negotiation based on diverse viewpoints. 

This is why it can be so hard for some companies to construct a dashboard that represents the whole organization – there are distinct differences in perspective shaped by individual professional experience. The end product of all this discussion is, in effect, a collection of priorities.

The Same Role Doesn’t Always Produce The Same Priorities

The clearest evidence that KPIs are far from neutral becomes apparent when leaders with almost identical roles and completely contrasting career backgrounds are considered.

Healthcare 

– On the one hand, a hospital CEO, who was formerly a doctor, is prone to prioritizing indicators such as patient outcomes, hospital readmission rates, quality of treatment, clinical safety, etc. Hence, the quality of care to the patient would naturally be the most obvious indicator of how well the organization is doing.

– On the other hand, a CEO who has risen through the ranks in operations within the hospital may be more concerned with ED wait times, bed occupancy rates, resource utilization, patient throughput, and similar measures that help ensure more patients are treated at the earliest possible moment.

Of course, this doesn’t mean they have ignored the other aspect; rather, they will attain the same objective through different pathways. 

Education

– In the sphere of higher education, a president of the university who was an academic before taking on the administrative role will place maximum importance on indicators of research productivity, faculty career growth, scholarly publications, and university reputation. 

– Conversely, if the president came from a background of business or financial administration, then greater significance would be given to indicators of student retention, enrollment growth, student graduation rate, and institutional financial viability. 

While both care for a high-quality education, there would be differing views regarding which parameters would truly signify the accomplishment of this goal.

Technology

– In the arena of growing technology ventures, a CEO-founder with an engineering background would focus primarily on system availability, product robustness, deployment speed, and system stability as performance indicators. 

– Alternatively, if the founder has a background in marketing, then parameters such as customer acquisition cost (CAC), conversion rates, brand visibility, and market presence will receive equal and immediate attention. 

There is no one viewpoint that is more correct than the others; they simply demonstrate how one interprets the areas that demand attention earliest in any given organization.

Why These Differences Matter More Than We Think

These examples may seem like just leadership personal preferences, but these actions have powerful consequences throughout an entire organization. What a leader chooses to measure shapes what his managers focus on. What the managers focus on shapes how their teams choose to spend their time. Over time, the patterns of decision-making based on these priorities create a corporate culture.

Think of two organizations in the same business, with nearly the same model. 

• In one company, excellence is defined by efficient operations. Employees come to see that improving productivity, cutting costs, and eliminating waste are a fast track to success and promotions.
• In the other company, excellence is defined by a drive for innovation. Employees are recognized and promoted for learning rapidly from failures and for innovation.

These organizations aren’t giving out explicit instructions about what employees should think about the nature of the organization. They’re telling their employees that through the metrics they display.

This is why companies tend to resemble the scorecards that they create. Employees are not merely reacting to incentives. People learn what the organization truly cares about from the metrics executives most often refer to.

Your mission statement may claim your organization stands for several values: innovation, collaboration, sustainability, and customer satisfaction. However, the numbers on a scorecard tell the story of your true priorities in brutally honest terms. If there’s a metric you see repeated again and again in executive committee meetings, influencing bonuses and being factored into strategic decisions, it gradually becomes very important to employees. Other metrics can begin to seem less so.

This is why a discussion of who owns the company dashboard can never be a conversation simply about accounting software and spreadsheets. That conversation always evolves into one about the core of the organization’s identity because deciding what to measure, in the end, is another way of asking what winning looks like.

When Metrics Become Power: How KPIs Shape Organizational Behaviour

By the time a KPI lands on an executive dashboard, it has endured endless discussions. Someone proposed it. Someone challenged it. Someone defended it. Finally, it becomes part of the organization’s definition of success. Yet the journey is far from over. 

When the KPI is tied to performance reviews, incentives, promotions, budgets, or strategic decisions, it ceases to be an innocent indicator of an organization’s health. It becomes an incentive, and people do have an outrageously uncanny ability to respond to incentives.

This natural predilection has nothing to do with 200-IQ deceitfulness, but rather with the fact that any organization inherently sets its employees up for success through the rules it puts in place. People will, predictably, focus on metrics they are being judged by. The question remains whether they are improving what they said they were improving by driving the metric.

From Measuring Behaviour to Driving Behaviour

Businesses often view KPIs like rear-view mirrors: they only provide a snapshot of what the business did, when in fact they’re a lot more like steering wheels – after you set an organization on the road with any particular metric, everyone begins to steer by it.

Think of your customer support organization with average ticket resolution time as its leading indicator of success.

On the face of it, a logical target, customers prefer quicker support. Nevertheless, what happens when they all start steering toward that target? Well, over time, things begin to get murky and odd incentives sprout up. Your support team begins to know that they’re being rewarded for quickly closing tickets. They pass on the tougher tickets to the next available team; they begin closing tickets before customers feel resolved, and their post-support phone calls and emails become more concise. They all look like they’re performing well, but the customer experience continues to deteriorate as the focus shifts from quality to speed.

Nothing is being falsified, and nobody is breaking the law. Everyone’s just doing what they’re incentivized to do. The metric is doing what it was built to do: driving behaviour, but everyone assumed the metric was the behaviour itself.

When the Measure becomes the Target

This effect has been seen across industries for years and can often be boiled down to a well-worn observation: “When a measure becomes a target, it ceases to be a good measure.” 

What that means is that when people know their performance will be judged based on a particular number, their incentives are immediately aligned to achieve that number. That behaviour is not always aligned with the leaders’ expectations for why they implemented that measurement in the first place.

Just ask teachers or healthcare providers, for example. 

• If educational performance hinges solely on standardized tests, then those teachers are likely to spend a large chunk of their precious time training students to beat those tests. 
• If hospital management puts tremendous pressure to reduce ED wait times, departments will likely find ways to shorten wait times without increasing throughput or improving patient health.

The KPI improves, but what about the actual outcome? What comes out at the end of the entire process?

It is important to note that we are not recommending against setting and measuring performance targets in the first place. However, we should be aware that every indicator of success will drive behaviour in unintended ways.

Negotiating Targets isn’t Cheating, it’s Organizational Reality

Something we don’t talk enough about when it comes to performance management is the fact that the KPIs themselves are typically negotiated. KPIs seldom spring fully formed out of some vacuum. Instead, they’re born from a series of debates: between departments on what’s achievable, between executives on the relative merits of optimism and pragmatism, between finance on the financial case for making some improvement, between operations on practical constraints, between managers on what’s realistic for their people.

At a macro level, these debates are about numbers, but at a micro level, they’re debates about risk and accountability, expectations and aspirations.

• The sales director suggests that the department should aim for 25% revenue growth next year. 
• The marketing director argues that brand awareness can’t deliver that without more investment in brand building. 
• The operations director points out that capacity constraints might emerge. 
• Finance expresses doubt whether the forecasts could hold up given the prevailing market conditions.

Through several meetings, a figure between 15 and 20% is eventually agreed upon.

Was politics the issue in determining the KPI?

Yes, yes it was.

Should it have been a problem?

No. A certain level of politicization is necessary in business to enable us to accommodate the various conflicting, yet valid, points of view we have to wrestle with. We risk deluding ourselves about how our systems work by denying that these exchanges exist. That’s where the problem lies, not in the exchanges themselves.

The KPIs That Get Attention Usually Get Resources

At the end of the day, organizations spend money, talent, and time in ways that leadership consistently prioritizes.

Think about two organizations dealing with exactly the same challenges. 

1. At Company A, sustainability is a topic of every executive meeting. Financials and carbon emissions are both represented on board meeting agendas, as are renewable energy and suppliers.
2. In Company B, sustainability is addressed annually.

Who do you think will be investing more in the environment? Who do you think will be drilling down into those numbers in leadership meetings? Who do you think will feel that their remit includes managing this initiative rather than just reacting to a mandate? 

It’s got less to do with values than visibility. Ultimately, on the outside, any leader or organization will invest resources in the things their senior leaders talk about and pay close attention to.

The same is true on the inside. If the leadership team shows new product revenue on their dashboards, experimentation metrics for product teams, and measures related to idea generation or the marketing pipeline, people quickly understand that innovation is not just an aspiration; it’s a priority. The same is not true if the topic comes up during a leader’s quarterly inspirational talk but not during any other type of review meeting or dashboard report.

It has become almost a cliché that experienced executives tell people that organizations become incredibly good at whatever it is they measure. It has little to do with other aspects being irrelevant; rather, it’s more about the fact that everyone’s attention span is limited, especially nowadays. 

Metrics Also Shape Organizational Narratives

Beyond incentives and resource allocation, in some environments, KPIs can have an even more insidious effect. They dictate the narratives a company tells itself. 

Consider a firm with decelerating revenue growth. For a CEO who is solely obsessed with profitability, flat performance can be cast as evidence of fiscal prudence: margins are expanding, the cost structure is well contained, free cash flow is improving, and cash reserves are strengthening. The narrative is one of resilience. 

Now, let us behold a similar firm, but helmed by a CEO with a penchant for tracking customers. A similar result – growth sputtering – might be spun as a signal that it’s time for urgency, highlighting fading customer momentum and the increasing threat from rivals.

The same result but different interpretation, and therein lies the critical point about performance management: KPIs don’t simply convey information; they shape perception. 

While executives may have the best intentions, most aren’t actively seeking to mislead their organization when constructing executive dashboards. Rather, they generally do genuinely want to point to the most significant signs of organizational progress.

Still, all dashboards, however well-intentioned, carry narratives, and each begins by making choices about what matters most. That’s why the debates over a particular metric or target can sometimes become so emotionally charged. They’re not just arguing over numbers but over the story of where they’re going – the future that begins to take shape once the figures enter the conversation. KPIs reflect reality in so much as they also make it.

Better KPI Governance Starts With Better Questions

You may be inclined to arrive at an uncomfortable conclusion if you have read up to this point: if every KPI represents a human choice, organizational bias, or a competing perspective, do truly objective measurements even exist?

Well, no, and in fact, embracing this fact is one of the most beneficial mental models for an organization to adopt. Human judgment being present in KPI formulas is not the issue. The issue is that it pretends not to exist in the first place. 

Organizations spend an enormous amount of time fussing over formulas, fiddling with calculations, optimizing data quality, and investing in increasingly complex dashboard infrastructure. These are valuable pursuits but may mask the illusion that better analytics invariably yield better decisions.

An impeccably precise KPI might still measure the wrong thing. A well-designed dashboard may reinforce old habits of organizational thinking. In reality, the real task at hand is not to eradicate subjectivity; it is to expose it. 

Organizations that are at the forefront of the analytics field understand that their KPIs aren’t sacred scriptures. They understand that KPIs represent a decision to measure something, a choice that must change as the business context changes. This outlook changes the dialogue at leadership levels entirely.

Rather than asking “Is this KPI accurate?”, leaders ask far more pragmatic questions: “What am I measuring this for? What are its downstream impacts on behaviour? What crucial outcome may be getting missed?” 

The Best Dashboards invite Discussion, not Blind Agreement

Perhaps the most damaging fallacy regarding executive dashboards is that they should somehow negate debate. Actually, great dashboards inspire much better debates. Picture showing the same performance metrics report to a group of executives from finance, operations, HR, product management, and customer service.

If they don’t even argue the numbers in front of them, it may be a cause for concern.

People come at things from different angles for good reasons in an organization; organizations are complex systems. 

• The CFO sees declining margins as a clear risk 
• The CHRO may detect employee burnout lurking below deceptively positive productivity figures 
• The head of operations is aware of production capacity constraints before they show up on financial statements
• The customer service executive notes the first whispers of declining satisfaction before customer revenue has been negatively affected

Healthy companies view these different lenses not as conflicting interpretations of truth but rather as complementary observations that together yield a far richer view of reality. There isn’t a single “right” way to measure a company’s health; rather, a high-performing system must measure many facets that determine a system’s health.

Just as a doctor doesn’t look only at a patient’s blood pressure, nor does an airline pilot fly a plane only by watching the fuel gauge, an organization can’t monitor only one dimension to determine overall health.

Good KPI Governance Means Challenging Your Own Assumptions

Perhaps the best leadership habit an executive team can build is to occasionally challenge the KPIs to which they’ve become so accustomed, because they have realized that the very essence of their business has changed.

• The market changes. 
  • The expectations of the customers change. 
    • Technology disrupts industries. 
      • The strategy changes. 

Yet somehow, too many businesses will go on reporting on the same KPIs as last year, or the year before that, simply because that’s what they’ve always done. Dashboards simply become a habit.

Organizations start asking whether they are measuring what is important and begin talking about whether they hit last year’s target, leaving out the fact that some of the most important leadership conversations aren’t about performance – they’re about whether they are even asking the right question. 

Think of a business that has long since learned that office space usage, in-person collaboration, physical footprint, and building occupancy are metrics. Those numbers may have seemed to make sense until remote and hybrid work totally upended the way that we collaborate.

This organization now needs a new way to conceptualize performance altogether. The business that survived didn’t necessarily have the best-looking metrics. They simply weren’t afraid to ask whether their assumptions about what constitutes performance were out of sync with market reality.

Transparency Builds Stronger KPIs

If KPIs are truly strategic choices, organizations should disclose them. This doesn’t mean offering an executive summary of each KPI – it simply means being able to articulate, clearly, why a particular KPI exists in the first place. 

• Who asked for it?

• What strategic goal does it serve?

• Why this metric over other potential measures?

• What shortcomings should the decision-maker consider?

These dialogues might seem shockingly mundane, but they’re profound at a human level. 

Just picture a new exec joining a company. Instead of receiving a dashboard of meaningless numbers, they may have a conversation with leadership about why KPIs such as customer retention, investment in employee development, and innovation play such a central role in current operations. This conversation turns the dashboard into a mirror of the organization’s underlying strategy. Even more importantly, the practice of transparency helps with subsequent evolution. 

Once the rationale behind a KPI is clear, the organizational decision process shifts to the question of whether that metric still applies or if a different measure might serve the organization’s goals more effectively. The distinction between defending an individual metric and defending a KPI’s intent may be subtle and unimportant to the inexperienced, but vital to those with many winters over their brows.

Final Thoughts

Organizations have spent decades trying to refine how they measure performance. 

✔️ We’ve improved the richness of dashboards.
✔️ We’ve elucidated data so that it is more readily available.
✔️ We’ve made analytics quicker and richer.
✔️ We’ve enhanced the systems to be more intelligent through artificial intelligence.

Yet there’s one factor that’s remained constant: the human decision-making power behind every KPI. Humans decide what needs to be considered, what needs to be celebrated, which numbers make it to the boardroom, and which ones never even make the dashboard. This is a natural outcome of leading human beings with varied experiences, areas of expertise, priorities, and roles. 

KPIs being a thing isn’t an error – we as a species have loved numbers, measurements, comparisons, and benchmarks since we had the mental capacity to engage with these matters. The error lies in the expectation that all of these things we love are entirely objective.

Great organizations accept, confront, and consciously bring other points of view to the discussion because effective conversations about performance indicators usually start with a question, not a spreadsheet: Why are we even tracking this? 

Companies rarely achieve what they declare is important to them; they reflect what they measure. The truest measure of an organization’s ability to govern its work, lead with conviction, nurture with care, and innovate for impact is not a KPI on its dashboard; it is its commitment to challenging its time-honored metrics.

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KPI Saturation: When Measuring Everything Means Understanding Nothing

Written by Andrei Costea on August 5, 2026. Posted in KPI

In most enterprises, there is at least one, often multiple, dashboards. These glowing arrays of data, updating at lightning speed, are producing weekly reports that land in everyone’s inbox, from the CEO down to the floor supervisor.

The platforms used to gather such metrics are significant investments in configuration, and continued investment is required to extract this information and make it consumable by diverse stakeholders.

The problem is that, in many of these enterprises, the same metrics haven’t influenced a key decision for months. The underlying paradox of measurement within most of our current organizations is that the more we attempt to quantify something, the less effective we seem to become at deriving meaning and insight. 

As the volume of available information proliferates, it seems increasingly challenging to discern which actions are necessary, let alone effective. Measuring for progress now seems to have morphed into measuring for mere participation.

Measurement in excess has transformed the metrics themselves into little more than participation indicators that have little to no genuine impact, when, really, you should measure only what can be measured well.

The Measurement Maximalism Trap: How Organizations Got Addicted to Data

The Dashboard That Glows But Doesn’t Guide

The dashboards originally designed for illumination, not for eye-popping designs, have become the organizational equivalent of corporate wallpaper. Visually engaging complexity, not driven to a specific action. This isn’t the flaw in the underlying technology. It’s the flaw in how you’ve defined what is worth measuring. 

Today’s analytic toolset makes it easy to record virtually anything. Coupling the ease with an organization whose desire for control equals its belief in the power of more information to be that, led to the phenomenon of what you can call dashboard inflation: metrics accumulate until they crowd out the signal. When a dashboard reports 40 or 50 different metrics, there isn’t the capacity to read them deeply enough to explore anomalies and derive decisive strategic conclusions.

The organization skips and skims through. It glances over, looking for simple, overt, bright, shining red flags. Then it checks the numbers that matter and moves on. What was initially intended to drive action ends up as a task to be filed away as evidence.

The Math That Should Make Any Leader Nervous

Here’s a calculation that is great at cutting conversations short. Imagine an organization with six to ten departments or business units. Give each department an average of 8-10 KPIs to follow, which seems perfectly logical if you think about the unique needs of a single department alone.

Multiply the two, and you’re looking at 48-100 specific measurements the company is technically keeping an eye on.

Next, ask the questions that should follow: 

• Of all these metrics, how many are really key? 
• How many truly have an impact on whether or not the company is winning or losing against its highest strategic objectives? 
• How many exist only because someone decided back then that, since the system made them cheap and easy to generate, someone someday might even use them? 

For most companies, the number of strategic indicators is considerably smaller than the hundreds one typically sees on a dashboard.

All of the others survive simply as products of inertia, and each of those hundred “key performance indicators” consumes time and brain space that should instead be devoted to the small subset of data that is truly indicative of performance.

If we had 100 “key” indicators, “key” would essentially become a meaningless word.

The “If We Can Measure It, We Should” Fallacy

The measurement maximalism trap is, at its core, a confusion between capability and wisdom. Modern data infrastructure has given organizations the ability to track almost anything in near real-time. However, capability and strategic judgment are not the same thing, and treating them as equivalent is exactly where organizations start losing the plot.

• Just because something can be measured doesn’t mean it has strategic value. 
• Just because a platform supports 200 custom metrics doesn’t mean you need 200 metrics. 
• Just because data is available doesn’t mean adding it to your dashboard brings you closer to understanding your business.

What it typically brings instead is noise – an ever-growing collection of numbers that require time to maintain, energy to interpret, and attention that could otherwise go toward the things that genuinely drive performance. Gradually, the act of measurement begins to crowd out the act of improvement. Teams work harder at tracking their progress than actually making any. The organization becomes, in a very specific and avoidable way, busy without being productive.

KPI vs. PI: The Critical Distinction Most Organizations Have Forgotten

Not Every Metric Earns the Word “Key”

About 90% of what we call “KPIs” within organizations are not actually KPIs. They are PIs – performance indicators – and the difference is far more material than many admit.

A performance indicator measures something that occurs within an organization: ticket resolution times, report generation volumes, packing efficiency rates, or training completion percentages. These are all valuable numbers, certainly. They offer an operational view to the teams that own the associated processes and help them establish benchmarks for quality. Yet, they are not necessarily key.

A true KPI, used to the full potential of its name, links directly to a strategic objective. 

• The organization aims to increase its market share > the strategic KPI is market share.
• The organization is trying to retain customers > the strategic KPI is customer retention. 

It tells leadership at the highest level whether the organization is winning the game it believes it’s playing: revenue growth, net margin, profitability per customer, market share – these are the top-tier measures. Everything else is essentially noise or in service of those top-tier measures. 

We have blurred the lines as organizations have grown, technology has become ubiquitous, and we’ve democratized metric-taking across teams.

It’s easy for each department or business unit to grab hold of operational metrics and dub them “KPIs” without asking whether they actually contribute to high-level organizational strategic outcomes.

Dashboards have become cluttered with PIs dressed up as strategic goals. Nobody realized they were promoted; they just sort of got there.

The 40,000-Foot View vs. Getting Lost in the Weeds
So, what does a CEO actually need to know about the state of his company at any moment? 

He really doesn’t care about the rate at which the warehouse packs goods unless that number affects a critical cost and/or the customer experience of the company as a whole. What he cares about are a couple of well-communicated indicators: 

• Is the company growing?
• Is it making money?
• Are customers staying?

Are we executing on the strategy we agreed we would execute upon? At that 40,000-foot level, you typically need at most six to ten really important indicators to accurately describe what’s happening. Everything else, all the departmental and operational process-level metrics, all the ratios that management needs to manage the day-to-day functions, is nobody else’s business in any of these discussions.

The weakness of measurement maximalism is, to some extent, the weakness of the hierarchy: not being able to sort and separate strategic vs operational measurements.

When you start bubbling up all the individual and departmental PIs to an organizational review meeting, the view gets blurred; the managers are going over meeting click-through rates and newsletter open rates rather than the items that are important and telling.

When KPIs Stop Driving Behaviour and Start Decorating Reports

There is a simple test that measures whether a metric warrants the label of KPI: 

Does it change the way people behave? 

It should detect issues early and clarify what success looks like and what’s left to do: in short, it should help teams focus.

Once a metric accomplishes these 3 things, it may deserve the “KPI” tag. When it doesn’t change behaviour or decision-making, it’s decorative.

If an organization suffers from KPI proliferation, it probably has too many decorative KPIs. Most of their metrics have gradually become decorative out of mere habit or routine report filler. They have ceased to prove anything useful. Those metrics may simply fill the gaps where data collection and reporting are requested, but without providing insights or stimulating any form of change in people’s work or behaviour. When a good KPI changes the organization’s functioning, a bad KPI or one of 50 other KPIs simply doesn’t.

Any company unable to differentiate between them faces a measurement challenge that is beyond the reach of mere dashboard adjustments.

The Real Cost of KPI Overload: Cognitive Fatigue, Decision Paralysis, and Teams That Stop Thinking

When More Data Produces Fewer Decisions

The hypothesis on which measurement maximalism operates is that more data equates to better decisions. It seems sound and scientific. It’s also quite wrong.

When executives see the dashboard, they usually don’t feel their decisions are being enhanced; the opposite generally occurs. Productivity may have increased, but consumer satisfaction has fallen. Moreover, 40 separate indicators are currently being updated simultaneously. As a result, decision makers delay while scheduling another round of meetings and trying to determine the scale of the real threat.

This is what experts call decision-making paralysis, a symptom of excessive reliance on indicators. Whenever individuals’ capacity to process additional input is overwhelmed, they automatically delay making decisions until a broader range of statistics is available. As more information is considered and more individuals are involved, the perceived uncertainty also grows, and, meanwhile, whatever issue the metrics were intended to uncover deteriorates.

The tragic reality is that these measurement frameworks, which have been used to accelerate decision-making, only lead to a stagnation of decision-making.

Hitting the Metric While Missing the Mission

Here’s a situation that illustrates the danger of mismatched KPIs more effectively than almost any theoretical statement we could make. 

A company sees that its Net Promoter Score, its gauge of customer loyalty and enthusiasm, is falling. They identify a solution. Compensation and enticements are provided when feedback is being collected.

NPS rises. The number looks healthy in the next quarter’s report. The actual causes for the customers’ discontent – the friction or the failure of the product – were not, however, altered in the slightest. Many organizations develop this practice, often unwittingly, as they learn to prioritize the score rather than the outcome for which the score was originally developed.

Organizational staff who primarily gain recognition for meeting KPIs develop mechanisms to meet them.

It’s not pessimism – but rather human conduct in reaction to incentive design. Colleagues can tell which things are tested, observed, noticed, and rewarded. Individuals shift accordingly. They obtain experience in offering the appearance of efficiency, but not necessarily the efficiency itself. This is called “conquering the score while neglecting the objective” – one of the most costly forms of failing a company may encounter, since it is quite hard to spot in retrospect. 

The dashboard seems all right, and values develop from the correct orientation. However, real life is slowly being corroded.

The Quiet Epidemic of Reporting Fatigue

There’s another cost of KPI saturation that doesn’t show up on any dashboard but that everyone inside organizations swimming in it can feel: the sheer time it takes to feed the beast that is the measurement system. 

Getting a hundred different KPIs to tick and tock requires somebody or somebodies to collect, validate, refresh, format, and disseminate that data, frequently, sometimes weekly or monthly. 

To a mid-size company, for example, those hours pile up in a hurry. Its analysts produce reports, managers pour over numbers they sort of get, and department heads struggle to fill out the same old forms with numbers only slightly different from last quarter.

That’s time spent feeding the system rather than fixing what’s broken, creating what’s needed, improving customers’ lives, helping their team develop, or making whatever executive decision they truly need to make. It’s the modern corporate bureaucracy, disguised as diligent management work. Over time, a unique, unspoken kind of demoralization seeps into these companies. The people who signed up to build things or help people come in and feel as though they’re spending an outsized fraction of their time on activities that yield little beyond raw data.

The link between their efforts and actual business outcomes begins to blur. Engagement lags persistently, subtly, maybe not to a critical degree, maybe, and not all at once, but to devastating effect down the line. The chosen metrics were designed to empower them to do more. They’re instead burning the fuel that could help them do so.

Signal-to-Noise Collapse: When Reporting Becomes the Work

Vanity Metrics and the Illusion of Progress

There’s an all-too-common disease lurking in metrics-driven workplaces: the proliferation of what could be described as “vanity metrics,” a collection of figures that make a report or a presentation look good but have little or no connection to real business performance: total hits to our website, our number of Facebook followers, the number of features we shipped this week, the amount of customer support tickets we logged, and so on.

These are all relatively easy to produce and easy to feel positive about, and, in most cases, have nothing at all to do with the really important questions like “Are we growing the right way?” or “Are customers truly getting value from what we produce?“

Vanity metrics are seductive because the directionality is right when you simply add more effort.

Your number of social followers will increase as you post more social updates. Your output quantity will increase as you produce more output. Your customer activity will rise when you do more of it. However, the link to a positive result is nonexistent. 

Worse, vanity metrics muddy the waters. Genuine metrics like customer retention and the quality of outcomes you help users achieve are harder to work with than tracking output, and they rely much more on human interpretation than the former does.

It’s therefore all too easy to focus on those and neglect to measure those that might not look as good in a report but do provide far more actionable information.

The Bureaucratization of Measurement

There comes a scale at which KPI culture transforms from managing performance to compliance. It’s where measurement has become bureaucracy, full stop. You know when you’re getting there through certain signs.

• Measures with no clear strategic explanation, but which were introduced into the monthly report so recently that it feels too dangerous to try to take them out again.
• KPI meetings in which nothing much gets followed up afterward. 
• Reports that are seen, signed, stamped, and stored away. 
• People who know the targets they have to meet, but don’t know how they relate to anything else that the company does or wants to achieve. 

As soon as measurement has begun to develop a life of its own, it loses any reason for it to have had one in the first place: to promote action that enhances performance.

Its purpose becomes simply to ensure the self-preservation of a framework for producing reports that prove reports are being produced in a seemingly organized way.

As the system appears to be very active, the system is also largely uncontested – the dashboard is refreshing, and the monthly reports are being circulated; therefore, it is clear that something is being controlled.

How Good Metrics Quietly Become Bad Incentives

The most insidious part about KPI saturation, perhaps, is what it does to our behaviour in the long run, even when the metrics were a well-intentioned effort to start with. Every single metric, the second that it’s tied to an evaluation, begins to drive behaviour. That is, after all, its job, but that’s different from improving the system the metric was designed to measure.

People get good at gaming the system to produce the number. We optimize around a specific KPI. We cut corners to hit the number. Risk-aversion increases because a miss, however minor, kills the score, and suddenly we have a workplace perfectly optimized for the appearance of performance while the real work goes unimproved. 

The issue isn’t individual greed or lazy employees. It’s the predictable consequence of over-measuring and under-trusting. It seems like, by now, we’d have learned that when we tie evaluation to everything, the only smart move is to play the game, not do the work. Metrics were intended to indicate how we could improve things. In systems of over-measurement, we have replaced honest indicators with carefully managed signs of activity: noise dressed up as useful data.

From Measurement Maximalism to Measurement Intelligence: How to Build a Leaner, Smarter System

Start With the Question, Not the Dashboard

The antidote to measurement maximalism, to this idea of just measuring more and more, doesn’t actually mean “measure less for the sake of measuring less.” It means “measure with intent,” and to do that, we need to start with the most important thing, and most organizations get this part wrong more often than they get it right.

What typically happens, if you look at most organizations’ KPI frameworks and dashboards, is that they approach the creation of those frameworks based on the answer to “What’s out there for me to measure?” 

Therefore, we assess what data we have, what the analytics tool can tell us, and what can fit on the dashboard, and we build the dashboard from what’s available. That feels pragmatic, and the dashboard ends up looking great, and, by and large, we’ve approached the problem backward.

The real right thing to do is actually to come back to another question: “What decision am I trying to use this metric to inform?”

If the question of what decision I’m trying to make doesn’t have a really, truly clear answer, then maybe that metric shouldn’t be on the dashboard. Maybe that KPI, that part that I’m measuring, just doesn’t belong on the dashboard unless there’s a decision tied to it, a meaningful way for me as a decision-maker to consume it.

If it’s not driving a decision for someone, it won’t serve as a helpful management tool; it will become a floating, isolated data point, and that is the real distinction between measurement intelligence and measurement maximalism. It’s not “how much do we measure” but “how focused do we measure,” which ultimately comes down to a company having more than just an objective in mind. 

It should have a specific decision for every metric or set of metrics, a specific type of decision it’s going to serve, and a specific accountable owner who is expected to act as a consequence of observing the metric. If any of those three requirements are not met, perhaps that metric should be dropped.

The KPI Audit: A Framework for Cutting Without Going Blind

The practical dilemma for most people is not a lack of clarity regarding having too many KPIs; rather, it’s determining how to reduce them while maintaining visibility on the really important items. The best tool for identifying which KPIs to prune and which to keep is a system, and it does not have to be overly complicated.

For every measurement indicator on every dashboard, ask: 

• Does this measurement relate directly to a company’s strategic goal (the ones that really are on there)?
• Does it drive a decision and prompt a quick response as the score fluctuates? 
• Can an informed employee explain what the measurement is tracking and why it’s important? 
• Would a person use this measurement to make better decisions than they otherwise would without the measure? 

If the answer to any of the questions is a simple no, it means the measurement warrants significant evaluation. If you answer simply no to two or more of these questions, you could also answer simply no, since it means your measurement is unlikely to be as productive as you had initially hoped.

In addition to asking these three questions, there is a logical framework for determining how many KPIs the organization requires at different levels, which may serve as initial talking points among interested parties. 

Disclaimer: The following numbers are not set in stone and are not end-all be-all guidelines; they should serve only as a starting point for a theoretical discussion on cutting down KPIs in an environment that sprouted so many of them that you don’t even know what each one tracks. They do not represent a cookie-cutter suggestion or a golden standard – they are merely the beginning of a conversation. Each company and industry is different and requires distinct efforts to maximize the use of KPIs.

For practical guidelines or a detailed plan, tailored to a specific organizational situation, get in touch with us here: https://kpiinstitute.org/contact-us

With that out of the way:

1. A) At the individual employee level, there is some empirical support for certain limits. Often, that revolves around the idea that one person should own no more than three KPIs at any level. If that exceeds 3, few owners can dedicate time to it, and possession skews towards fiction rather than fact. 
2. B) At the team level, you may set up team dashboards of about ten to fifteen KPIs, as long as every measure in the dashboard is genuinely owned, assigned to a goal, and the KPIs are regularly and critically examined and are not simply noted and filed away.
3. C) At the organizational level, usually around no more than six to ten genuinely strategic KPIs are to be shown to executives, not out of some arbitrary constraint but out of an awareness of the cognitive limits of human beings when focusing on complex and interrelated decisions. Numbers greater than 6 – 10 make it more of a data repository than a viable system. People start focusing on quantity rather than quality.

Treat Metrics as Signals, Not Verdicts

The cultural shift that distinguishes high-performing organizations from those drowning in the metric-maximalist world is this: high-maturity organizations do not use metrics to replace judgment; they use them to inform judgment. In a KPI filled organization, metrics are always verdicts. If a metric is green, things are okay. If it’s red, someone is failing.

Teams spend their time explaining away numbers rather than understanding the system that generated them. Leaders look at averages and move forward regardless of what the averages mean; anomalies are not explored because there are too many data points to examine. In a measurement-intelligent organization, those same numbers initiate dialogue rather than conclude one. An unusual move in a metric isn’t a verdict; it’s a prompt to go deeper and inquire further, to understand what caused the movement. 

• Why has a number moved? 
• What is it signaling about the underlying system?
• Is it still the thing being measured?
• What action is really indicated?

Qualitative insight is as important as quantitative data, not less. The number may signal a shift, but it usually doesn’t say what to do about it. The judgments of people closest to the work, who understand the context far better than any dashboard could, are considered insights, not distractions.

Moreover, accountability in a measurement intelligence organization remains human. Decisions don’t get handed off to dashboards. They are held by humans, with dashboards as backup.

If It Doesn’t Drive a Decision, It Doesn’t Belong

The simplest reframing any organization can adopt for serious measurement culture improvements is this: a KPI that doesn’t inform a decision is not a KPI – it’s noise. 

Much like writers kill their darlings when they remove words, sentences, paragraphs, or entire chapters, businesses should do the same with KPIs. Not every metric residing in your data system today will survive or should survive. 

Some will be metrics that only made sense three years ago when an entirely different priority was at play. Others will be internal departmental KPIs quietly slipped into the executive dashboards. Many are vanity metrics that are too vain to keep. Pruning these will enable you to stop operating blind and start to see clearly for the first time in what feels like a long time.

Final Thoughts

Measurement is not evil. 

Measuring things up is a response that makes complete sense – that impulse to understand if whatever you are up to is actually happening, to detect what might soon become an acute problem, to gauge what may be a slept-on trend, and to want to hold people to account for results. 

Yet, when measurement takes on a life of its own, it seems more crucial to do measurement for its own sake. Dashboards become more of a concern than just tools that support decision-making. Teams devote so much effort to feeding some form of measurement tool to demonstrate progress toward the desired end that the effort shifts away from running the business to the business of measuring the business. 

Metrics are powerful tools. Used with intention, they drive the kind of accountability that genuinely changes things. However, they are terrible masters, and the organizations that remember the difference (that keep humans in charge of judgment while using data to sharpen it) are the ones that turn performance measurement into a real competitive advantage.

Measure less to understand more to decide better.

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Looking to strengthen your expertise in KPI design and performance measurement? Gain practical knowledge, proven methodologies, and globally recognized certification through The KPI Institute’s Online Certified KPI Professional.

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Expert Interviews Series: Accountability, KPIs, and Execution with Ghazi Hael Alanazi

Written by Len on May 13, 2026. Posted in Interviews

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