For centuries, professions carried meanings far removed from any actual job descriptions. Teachers were nurturers and enablers. Engineers were architects and makers. Doctors were caregivers and saviours. Public servants were literally people serving the public.
Performance was certainly expected, but mostly measured through the lens of the work itself. An experienced engineer didn’t measure their success in equipment uptime. A doctor didn’t go home tallying percentages of discharged patients. A policy analyst didn’t define a productive day by the number of reports finished.
Their work was full of moments that could never be fully captured on a spreadsheet, but many of those unmeasured moments were precisely what got them into the profession in the first place. Modern organizations, however, slowly began to break that link. As performance management became more sophisticated and measurements more granular, organizations increasingly embraced the idea of constant reporting.
Now, this in and of itself is not a bad thing. Organizations require clarity in their operations, and performance metrics can be incredibly powerful tools for linking strategy to measurable outcomes. The real problem isn’t felt until later when things get overdone.
Evaluating behaviour has undergone such tremendous uprooting that, in many cases, behaviour is being shaped, not merely measured. Repeated behavioural reinforcement, over time, becomes a habit, leading to changed priorities that, in turn, become a core aspect of professional identity. “This is how my work is measured” gradually shifts to “This is what good work looks like” and finally “This is who I am.”
Organizations have, perhaps subtly, started to train people to tie their self-worth to the numbers. Organizational psychologists have long noted how external reward for an action can gradually supplant intrinsic motivation. This is known as the Overjustification Effect.
In a similar vein, Self-Determination Theory explains that people feel better about life when they have some control over their tasks, can be competent in them, and have a sense of purpose, but that this motivation is diminished if externally imposed controls take over those inner drivers.
Of all the effects of performance management, this may be the most underdiscussed. Organizations are terrified of employees “gaming” KPIs, picking the “wrong” indicators, or measuring far too many things. Few, however, seem to pay attention to the inevitable process by which their employees learn to tie their identities to the very metrics the organization uses to monitor their performance.
Ultimately, dashboards are less likely to function as a mirror onto professional performance and more as a lens through which individuals see themselves. They are measuring a proxy for success rather than success itself, focusing on green indicators, favorable trends, and a solid quarterly report, rather than the substance of the value created. So the question quietly changes from “Did I do something valuable today?” to “Did my numbers stay green?“. In fact, at that point, organizations aren’t managing performance anymore; they are shaping professional identity.
Government Performance: When Public Servants Become Compliance Managers
The government is just one sector that vividly illustrates such a shift. Over the decades, public agencies have developed performance measurement in an effort to improve accountability. The use of taxpayer money requires public officials to be transparent; elected officials need proof that government policies work, and citizens demand that governments provide demonstrable results rather than empty promises.
Due to these demands, KPIs have become ubiquitous across the public sector, ranging from case-close times and permit-approval processing times to budget execution, customer satisfaction, inspection volume, and compliance rates.
None of these measures is inherently flawed, and many of them have contributed to operational discipline and better response times. The problems occur when these measures ultimately alter what it means to be an effective government employee.
Take, for example, a regulatory inspector whose job it is to enforce environmental regulations.
Historically, their career trajectory is oriented toward a mission-based approach – reducing the risk of harm to public health and the environment and educating the public on environmental policy.
These tasks require careful decision-making, dialogue, and sometimes extended investigation, and many have helped prevent harmful activities. If the job is reorganized so that employees are evaluated based upon the number of inspections conducted in a month, subtle changes in employee behaviour can emerge.
We go from ➛ “Which of these inspections will contribute the most to environmental safety?“
To ➛ “How many inspections can I complete by month’s end?”
Case-related activities are put on the back burner in favour of routine, less time-consuming inspections. A pursuit of efficient throughput displaces professional judgment. While the individual has become more productive and efficient in executing their tasks, their sense of professional purpose and impact has eroded.
As noted by researchers in behavioral psychology and organizational design, “individuals will repeat those behaviours for which they are consistently rewarded” (e.g., in organizational performance systems, rewards can be symbolic recognition, financial, fiduciary, or simple acknowledgment by managers). Public organizations don’t often explicitly encourage their employees to prioritize measurement over meaning, but performance management systems do just that.
A similar shift in identity can be observed in public policy formulation. For instance, consider a public policy analyst whose mission is to develop policies to enhance economic opportunity in their region.
Good policy development requires innovation, open-mindedness, questioning established assumptions, extensive stakeholder engagement, willingness to reconsider original proposals, and the capacity to admit when a given approach may not achieve its intended outcome. The work itself involves considerable ambiguity and is inherently risky.
However, many policy departments measure success based upon report completions, consultations held, milestone completion times, and the number of projects delivered on time and on budget. These metrics are no indicators of the quality of public policy produced. Over time, analysts may begin to view themselves as administrators rather than problem-solvers; the number of reports produced takes on a higher significance than their contribution to informed policy decision-making. Taking the time to gather compelling evidence and debate potentially controversial findings would put the policy writer at performance risk that would not be faced by a policy writer producing a report more promptly.
The outcome is a less effective public policy in exchange for a more efficient output of report production.
Perhaps the starkest example of this unintended side effect of performance measurement is evident in the government’s citizen-facing services.
Most public agencies track average times to complete tasks such as issuing permits, licenses, processing benefits, or answering queries. While there’s no denying that swift processing saves valuable time and resources and should indeed be encouraged where it represents efficient, effective government service, speed itself has acquired an almost sacred status.
Case completion times may even be viewed as reflecting the personal capability of the individual responsible for completing them, regardless of whether these cases require significant social service provision or legal deliberation.
A given employee might have two applications come in the same morning:
The first can be addressed quickly within twenty minutes.
The second is complex, requires a telephone consultation with other government bodies and a deep analysis of relevant legislation, and will likely take several days to complete.
If time to completion is the measure that determines success, then the employee will be motivated to expedite the first and avoid engaging with the second’s complexity so that their numbers continue to look strong on the monthly performance review.
While the manager has not instructed anyone to shy away from difficult or time-consuming cases, the organization’s reporting systems have implicitly taught employees to prioritize quantifiable output over the quality of public service delivery. This insidious transformation of identity within public organizations has been one of the most staggering and, in some respects, the most challenging consequences of the modern emphasis on performance measurement.
Governments invest tremendous resources in these measures to improve responsiveness and effectiveness, but as measurement becomes more sophisticated and all-encompassing, there is a danger of narrowing the definition of a good public servant. Over time, public sector employees who originally joined the government seeking to solve complex societal problems and make a tangible contribution to public well-being may find that they have become focused on improving their scores on a dashboard.
The mission has not disappeared; it has just been translated into the language of numbers, and eventually it can start to look as if those numbers really are the mission itself.
Oil & Gas: When Safety Professionals Become Incident Managers
The oil and gas industry is arguably the one in which performance measurement has been implemented more widely and integrated more deeply than in any other. Given the sheer scale of operations, the hazardous environments, and the enormous potential cost of failure, measurement is an operational imperative.
Industries within the oil and gas sector have implemented sophisticated tracking systems for a variety of performance indicators, including equipment availability, maintenance compliance, production efficiency, process safety, environmental impact, workforce competency, and dozens of safety-related measures. To a significant degree, these metrics have made the industry demonstrably safer than it was several decades ago.
Therefore, precisely because performance measurement has been implemented so widely, the oil and gas industry is a perfect example of how metrics gradually influence the way professionals see themselves over time.
Let’s examine three common areas where the practice of measurement shapes occupational identity.
I. Safety culture
When an occupational health and safety, environmental, and risk (HSER) manager starts their career, the driving mission is clear and singular: everyone should be safe.
Their day-to-day work is devoted to identifying hazards, empowering their colleagues to speak up, investigating near-miss incidents, and instilling a culture in which reporting mistakes is natural and welcome before they become accidents. For a long time, performance measures have supported this work; they provide a framework that encourages reducing harm and helps pinpoint areas where improvements are needed.
Over time, however, one number in particular often becomes pervasive within organizations – and often it’s the lost-time injury frequency rate (LTIFR) or another similar type of incident-based statistic.
Typically, a low number means a safe place. Yet, once all-in discussions revolve solely around achieving a “zero” number, a subtle shift may start to occur: employees can start to associate achieving performance with maintaining the number, rather than with creating and maintaining the culture that is the reason the number is low.
A supervisor may no longer log a minor “reportable” incident for fear of the “statistics.”
A worker may fail to mention a minor, workplace-acquired cut because they don’t want to negatively impact their team’s “record.”
Managers may end up debating whether an incident meets the reporting criteria, rather than focusing on understanding why it occurred and taking steps to prevent it.
The organization begins to protect the number that is supposed to reflect risk reduction.
The paradox here is that some of the safest workplaces are those where employees feel psychologically safe enough to report issues, even if it initially results in the numbers reflecting an issue.
II. Maintenance and asset integrity
Maintenance engineers tend to be the sort of folks who love taking apart machines and putting them back together – complex systems and machinery excite them. They have the technical acumen to anticipate how machines can and will fail, often before any visible symptoms emerge. For them, this involves everything from proactive inspection to deep-level repair and understanding system dynamics.
However, many maintenance functions are measured by a variety of KPIs that can shape professional identity in interesting ways. These can include planned maintenance compliance, backlogs reduction, equipment availability and uptime, and on-time execution. Such measurements are essential, without a doubt, but engineers may end up seeing their work less as optimizing a system for safety and reliability and more as “keeping the indicators green.”
For example, imagine that during routine maintenance, a qualified engineer determines that an asset requires additional inspection and maintenance outside the regularly scheduled process. In a best-practice scenario, this should be handled in accordance with established procedures, focusing on what’s necessary to ensure long-term reliability and safety.
Instead, they run into the issue that taking an asset offline for non-scheduled work may negatively affect overall plant availability metrics and other performance measures.
No one explicitly says to the engineer “ignore it,” but they can feel internal pressure, as the responsibility for demonstrating effectiveness shifts:
We go from ➛ “I am an engineer who understands this equipment and should fix it as needed”
To ➛ “I am an engineer who is measured on availability, and taking this offline will not be a good thing for the company.”
Over time, this constant exposure to such incentives may nudge professional focus away from what is best for the system toward what’s needed to present good numbers. Maintenance excellence can inadvertently become about reporting excellence.
III. Safety leadership
Most leaders of safety organizations can articulate (and strongly believe in) the importance of building a “learning culture” or “reporting culture” – one in which reporting of near-miss incidents is not seen as problematic, but as an opportunity to learn and prevent future accidents.
This bears an unintended psychological impact: long-running streaks of incident-free operations. The longer the company maintains this “record,” the more everyone feels attached to it. Workers feel it. Frontline supervisors feel it. Upper management feels it. The entire workplace feels it, and, before you know it, a perfect safety record moves from being a performance indicator to a key aspect of the company’s identity.
When an organization proudly states, “We had a great run of X years without a recordable,” it transforms the act of reporting an incident from an opportunity to improve into an attempt to end a celebrated achievement.
Psychology teaches us that identities are reinforced by repetition and social validation. As employees are repeatedly told, “We are the guys who run our operations without an accident,” those values can quickly become the workforce’s identity. Ironically, this desire to protect the identity may inhibit the learning culture that is needed to actually keep people safe over the long term. The industry is slowly waking up to this reality by introducing leading indicators that complement its long-standing practice of lagging performance measures.
These leading indicators (such as learning observations, behavioural interventions, hazard identification programs, and proactive risk assessments) signal a shift from seeing professional work as the guard duty of a number to viewing it as the responsible management of risk and the continuous improvement of an organization’s capabilities.
Construction: When Project Managers Become Schedule Protectors
Construction is run under a constant stream of fire under its proverbial behind.
The budget is sealed.
The timeline is out there for everyone to see.
Clients demand sure things.
Investors demand visible returns.
Managing performance becomes paramount.
Companies keep tabs on the budget variance, the on-time completion rates, productivity, rework, safety incidents, equipment use, procurement cycles – everything it takes to keep even the largest construction projects from spiraling out of control. For project managers, these metrics provide crucial visibility into what’s happening. Over time, though, they also subtly change what it means to succeed.
Let’s look at schedule, probably the most obvious metric in construction.
We all know we need to deliver on time; delays cost time, money, opportunities, and jobs for everyone from the subcontractor to the end user to the neighborhood around the site. We also know that schedules are living things, not etched-in-stone laws of nature.
Construction hits unexpected bedrock.
The weather shifts.
The supply chain falters.
The designs need to be altered.
Good project managers understand these realities, and their job involves judgment & flexibility about changes. Yet when on-time completion is the ultimate benchmark for success, that can lead to a different, more limited role: “I’m responsible for protecting the schedule.”
“I’m responsible for delivering the best possible project” is no longer behind the steering wheel; it’s not even part of the conversation occurring in the car. That’s critically important for a few reasons.
Suppose you discover halfway through construction that a minor modification will dramatically increase a building’s resilience for decades to come.
From an engineering standpoint, it’s a clear improvement. From a KPIs standpoint, the redesign adds a few weeks to the project. The project manager must decide whether they are a builder or a schedule guardian, and by the time organizations reinforce decisions with KPIs year after year, the answer is often obvious.
A similar phenomenon occurs with productivity measures.
We track labour rates, equipment efficiency, and throughput to ensure work gets done efficiently, because construction is, after all, an incredibly resource-intensive endeavour. However, productivity measures tend to focus on visible activity and output rather than on the thoughtful prep work that enables high-quality execution.
Picture two supervisors:
The first, realizing the potential for confusion, takes a couple of hours before his crews begin installation to coordinate subcontractor schedules and clear potential conflicts.
The second supervises his crews’ continuous activity despite having a pile of unresolved questions.
According to the day’s dashboard, the second supervisor clearly had a more productive day. Activity continued, and the work output was impressive. Weeks down the line, the project suffers costly delays due to rework because all that prep didn’t happen. The first supervisor was building for tomorrow, and the second was optimizing for today.
Systems that measure performance rarely reward proactive problem-solving that may never actually surface as a problem. Over time, people come to believe that active work and output are rewarded more highly than proactive avoidance of potential problems.
Nothing demonstrates this shift more profoundly than safety leadership.
Companies monitor incident rates, safety inspections, safety briefings, and compliance actions. The problem arises when safety, which should be an expression of craft, becomes just another task, and when safety documentation is perceived as equivalent to actual safety.
Completing checklists and filing reports can be perceived as being productive because they generate readily quantifiable results. Conducting tough conversations about safety hazards, patiently coaching an inexperienced team member, or stopping work to address an immediate hazard requires more patience and is harder to quantify. In these situations, too, the role silently transforms.
Over time, the job becomes less about building something well and more about managing reports, schedules, charts, graphs, and other metrics. Construction has long been a trade driven by craft, ingenuity, the willingness to confront ambiguity, and the determination to adapt when circumstances change…qualities that rarely fit smoothly into KPIs.
The risk isn’t that KPIs will put an end to what it means to craft and be part of it; the danger is that they will fundamentally reshape what craft looks like. When the metrics for success are matters like schedule adherence, people will still build projects, but they may begin to lose the very identity that motivated them to become builders in the first place.
Transportation: When Operators Become Punctuality Optimizers
Of all the industries we could choose to observe, transportation is probably one of the most externally visible ones.
The numbers generated each day by every airline, train company, logistics firm, port, and public transit authority are mind-boggling. These organizations are producing vast quantities of data to inform decisions. The on-time performance (OTP), expected delivery window, vehicle utilization rates, fuel efficiency, wait time per passenger, load factors, vehicle turnarounds, and customer satisfaction scores indicate whether the system is working well.
The organizations whose work depends on millions of people moving from place to place at specific times rely heavily on this information to coordinate operations across enormous networks. Nevertheless, of all the Industries that have so much data, transportation perhaps best captures the danger of equating operational excellence with numerical excellence.
Let’s imagine a very sharp airline operations manager. What drives them into the aviation business in the first place?
Passion, enthusiasm, dedication, joy, a fascination with aviation, logistics, and engineering, or, most importantly, a commitment to transporting people safely and efficiently to where they need to go. Maybe all of these, at once, all the time.
So, then, what is the most often discussed single data point for most airline operation teams?
It’s on-time performance!
Now, now, lower your pitchforks, please. On-time performance is an incredibly valuable metric. Customers, connecting flights, operational costs, and more are all negatively affected when delays occur. No one is claiming it is not important. However, when punctuality ceases to be a goal and becomes everything that person ever was, professionally, that is when the trouble begins.
I) Consider the scenario of our aforementioned airline operations manager, and let’s ideate 2 scenarios for them:
Scenario 1 – Think about the operational and behavioural consequences of a departure in which the aircraft pulls back on time but leaves with a cabin issue that significantly increases stress for both cabin crew and passengers.
Scenario 2 – Now compare this to another departure where the aircraft leaves several minutes later because the team used those extra minutes to resolve an issue with a piece of equipment, assist an elderly passenger, address a situation with a screaming baby, or ensure all the correct bags were loaded, etc.
From a dashboard’s perspective, the first option wins hands down. For a professional, however, the second might reflect much better operational judgment.
As with every system and human, that very act of monitoring the “right things” and offering them as rewards in the system for a sufficient period of time conditions people to pursue the number rather than the purpose behind it.
Teams slowly begin to ask, “Did we protect our OTP?” instead of “Did we perform well?” This is subtle, and the behavioural consequences can be significant. We see this phenomenon mirrored across other major industries within transportation, like logistics and supply chain.
Organizations across these sectors rely heavily on the delivery performance indicator. Customers now expect increasingly tight and precise delivery windows, and most companies have developed highly sophisticated methods for monitoring these metrics. While logistics coordinators, drivers, and dispatchers all recognize this importance, their continued exposure to metrics (even when used appropriately) will influence how they see and interpret their own roles.
II) This brings us round to another scenario – the delivery driver!
Imagine a delivery driver approaching the time and weather is deteriorating. They can either:
Scenario 1 – Slow down and potentially find a safe haven
Scenario 2 – Push through and hope for the best
Given our present climate change woes, where the weather is impossibly unpredictable at times, professional judgment will suggest to slow down and accept that some of these delivery times may be adjusted later in the day, when their performance report will, unfortunately, highlight poor on-time performance.
The delivery driver is unlikely to endanger their life or that of others to make it on time; nevertheless, their frame of reference will likely shift to see their poor OTP score as an indictment of their ability rather than an acceptable outcome given unforeseen circumstances.
The majority will continue to prioritize safety, but their sense of professional accomplishment may begin to shift: rather than being seen as professionals who reliably and safely deliver people and goods, their internal professional identity may become that of a protector of delivery performance. Their professional identity now incorporates the KPI.
III) In the case of public transportation, we will find a remarkably similar story.
Scenario 1 – Should a professional working in the public service move people around a city comfortably and efficiently?
Scenario 2 – Should they become a performance enforcer, responsible for protecting the schedule at all costs?
Transit agencies will monitor many things to ensure reliability and efficiency: passenger volumes, schedule adherence, average boarding time per passenger, on-time departure rates, average dwell time at stations, and the like.
All the above indicators will no doubt lead to better overall system performance, but public transportation is ultimately a human system. Yes, throughput is important, but moving people in comfort & safety, from point A to B, is even more so.
Not every passenger fits a standard profile. There are elderly travelers, people with disabilities, young children, and individuals who cannot rush and require extra assistance. When, as part of that performance management regime, we focus on schedule performance, we may create an identity conflict.
This problem won’t arise if performance metrics are set and monitored to manage the system, but the minute employees’ identities manage it, the problems can begin. At least the irony is that no one goes into the transportation business to maximize on-time performance. They are in business to provide safe, reliable service to meet people’s travel needs. Punctuality is only one component of delivering that service.
Healthcare: When Clinicians Become Throughput Managers
Few fields may demonstrate how performance measurement can transform professional identity more starkly than health care because more is at stake than the success of an organization – human lives themselves.
Modern health care depends heavily on measurement, and for good reason. Hospitals measure Emergency Department (ED) waiting times, bed days, readmission rates, numbers of surgeries performed, infection rates, patient satisfaction levels, care timelines, staffing levels, and hundreds of other metrics that can guide quality improvement and ensure accountability. Without such measurement, health care leaders could not know where to direct resources or pinpoint areas for systemic improvement and patient benefit.
Yet health care has always been about more than just that, more than just metrics. At heart, it is a vocation centered on discretion, compassion, and personalized attention. Performance systems, of course, oversimplify such complexity.
ED Wait Times
Let us look, for example, at health care performance metrics for emergency care waiting times. While minimizing unnecessary delays is a worthwhile pursuit, with benefits for patients and the health care system alike, in practice, ED work does not proceed in a straight line defined by average times.
Patients arrive with all manner of urgency: some require but ten minutes, others six hours; one family conversation might stave off a formal complaint, while another requires as much reassurance as a prescription. Often, these acts of service represent some of the finest clinical practice and are difficult to quantify. When clinicians are rewarded for shaving off waiting times, it can prompt a subtle shift in their identity: “Did I treat the patient optimally?” or “Did I move the patient through the department most rapidly?”
The two objectives are hardly mutually exclusive, but when one becomes visible and the other remains unseen, the visible outcome naturally receives higher priority. We see a similar shift occur for decisions about hospital patient discharges.
Length of Stay
Another frequently used measure is the length of stay, used in part to help hospitals manage their capacity and avoid inappropriate admissions.
Again, a valid measure that serves a real purpose. However, decisions to discharge a patient are often complex and not purely dictated by strict, measurable clinical criteria. A patient may, on paper, be technically “discharge ready” but feel nervous about managing at home. Another might benefit from a few extra days of observation for reassurance, even if there is no immediately pressing medical need for more intensive care.
Clinicians make such judgments day by day. However, when, time and again, our hospitals focus on patient throughput, our beds, and our flow, the length of stay increasingly gains psychological weight over its functional meaning. Delayed discharges may begin to feel like interruptions of flow and barriers to organizational performance rather than clinical considerations, not by design, but because our performance systems encourage such reactions. This specific detail – performance systems affecting the identity of health professionals themselves – is perhaps the most pervasive of all.
Identity of Choice
Few people choose careers as doctors, nurses, technicians, or paramedics simply because they find delight in improving dashboards or making progress toward organizational targets. Most enter the field out of a deep desire to care, to heal, to solve complex problems, and to improve the lives of others. It is this inherent motivation, which organizational psychologists have shown to be the strongest long-term predictor of job engagement, that pulls these individuals through many a night of emotional hardship.
It is these motivation systems that are most endangered by an organizational environment that overemphasizes measured outcomes. When the organization’s performance metric takes precedence over that purpose, something begins to change, even if the clinician does not abandon their care for patients.
Instead, they increasingly begin to experience their work as defined by outputs: numbers of patients seen, numbers of procedures performed, number of appointments scheduled, number of metrics met. Caring does not vanish – it is simply diminished in what counts as success.
Many health organizations are aware of this threat and are attempting to broaden their focus toward patient experience, interprofessional collaboration, the development of learning cultures, staff well-being, and psychological safety. All of these efforts acknowledge that great health care depends not just on measurable efficiencies but also on protecting the fundamental reasons people came to the profession.
At the end of a stay, most patients don’t remember how well their care improved the hospital’s quarterly reports, but rather that someone listened, someone cared, and someone acknowledged their unique and individual story.
Final Thoughts
The major benefit of KPIs is focusing attention. They assist organizations in transforming a big ambition into a concrete goal, creating common alignment among teams, and providing evidence of whether progress is being made.
Without the metrics, strategy is little more than aspiration, and within any set of metrics lies another, much more subtle force that most observers do not know: measurement not only shapes decisions, it also shapes people.
Behavioural psychologists demonstrated long ago that habit, and eventually identity, are forged through repeated reinforcement. Therefore, performance systems teach not just process but also employees the objects of attention, the feelings of success, the rewarded behaviours and what they’re meant to turn into, ideally, professionally.
Most often, no one sets out to prioritize their dashboards over their mission. Yet, through a gradual sequence of performance reviews, recognition meetings, promotion opportunities, and the green indicators turning, professionals begin to intuitively protect the measures originally developed to do little more than guide their performance. None of this implies an organization should drop KPIs – au contraire, metrics remain necessary.
In their place, the best question any leader can pose may well be less, “What will this KPI motivate?” – a question extensively addressed over time – and more, “What type of professionals will this KPI eventually build?.”
After all, organizations, over time, perform as well as their people are made, not because they measure well, but because they are well.
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Every organization remembers its numbers: revenue, profit margins, cost of customer acquisition, employee utilization, defect rates, NPS scores, or average resolution times.
Pull open any dashboard, and you’ll see hundreds of highly selective data points meticulously tracking almost everything happening within the business. Organizations today are astoundingly adept at capturing data. However, they often can’t answer simpler questions.
Why is this team performing so well when they are tracking only average productivity metrics?
Why are customers loyal to this account manager?
Why did our innovation efforts grind to a halt when our key engineer left, even though the KPIs remained unchanged?
What, beyond hitting deadlines, contributed to that project’s success?
Some of the most crucial assets any organization holds cannot be conveniently pinned on a dashboard. As conversations naturally become centered around measurable outputs, organizations gradually risk developing a kind of “KPI memory loss” – an inability to recall the details that fail to fit within a given metric.
This is not a criticism of KPIs. Not at all, quite the contrary! Businesses must have these metrics to measure performance, diagnose issues, understand thresholds, and make decisions. The issue starts when metrics become less tools for observing the world and increasingly the world itself.
When Metrics Become Memory
Picture a brand-new manager being hired to run a thriving customer service department. They’ve taken over a fantastic dashboard, their average response time has dropped, customer tickets are being resolved faster than ever, and overall productivity is growing each month. From their perspective, they’ve inherited a picture-perfect operation.
Six months down the line, customer churn is on the rise.
But why? What gives?
After interviewing veteran staff members, the manager learns that agents have stopped investing a few extra moments to build rapport with their customers. All the targets were being met; everything looked fantastic on the dashboard, but they had slowly let the human side of it all slide: those little interactions that helped customers feel like they mattered. There was nothing in the dashboard to indicate this.
Nothing in the dashboard was accounting for this. This is one of the greatest strengths (and biggest weaknesses) of performance measurement: KPIs can highlight things we would otherwise never know, yet they also narrow our attention to an unhealthy degree, turning focus into horse blinders.
As much as an organization obsesses over what it can measure, it begins to overlook everything that it cannot. When people start aiming for a metric specifically, that metric eventually fails to reflect what it was intended to reflect.
You’ve almost certainly seen this play out in a large organization:
A sales team prioritizes quick-close deals over long-term customer value because its quarterly target emphasizes sales volume.
A call center has reduced the Average Handle Time (AHT) by ending calls abruptly, leading to more inbound repeat calls from irate customers.
A software team has achieved a high number of resolved tickets while allowing technical debt to fester in the codebase silently.
An HR team fills open positions faster by prioritizing speed-to-hire, but the quality of new hires drops, leading to higher turnover within the first year.
A manufacturing plant reduces production costs by using cheaper materials, only to see warranty claims and customer complaints increase months later.
The metrics look good, but the underlying reality does not. This often has nothing to do with bad motives or intentions, but more with incentives.
Incentives have been at the basis of human behaviour since the dawn of time. Therefore, if success is defined by what appears on a dashboard, people will focus their attention there. Over time, companies develop excellent memories for metrics but an almost complete memory loss for everything else.
What Gets Left Behind?
Try to think of the best colleague you’ve ever had. What was it about them that made them excellent? Were they the emergency adult everyone called to soothe volatile clients before a situation erupted? Maybe they instinctively knew when a project was careening off course. Perhaps they just knew which other departments would be required long before an issue was apparent, or they just knew how to mentor a junior person in the office from scratch.
Knowing all these aspects, we are posed with a series of questions:
How could you quantify these skills?
How could you put a number on them?
How would they feature on a spreadsheet?
It might not be possible. Is it possible? Is it feasible? Now we are left with more questions than we had before we knew about the aforementioned series!
Let’s take a look at a different example.
What about a company trying to build itself on measurable, trackable KPIs and not much else? We have a massive body of work in knowledge management that draws a line between the explicit and the tacit: the former can be written down and shared, the latter can only be understood and absorbed through experience and judgment, in context, through interaction.
There are numerous studies that indicate that organizations that have solely relied on measurable performance-only systems fail to capture value and knowledge, even in areas that are absolutely critical to long-term organizational success.
Interestingly, it’s often the people who do not appear on many charts in any system, or who have nothing visible to put on a spreadsheet, who make the organization successful.
The experienced cardiac nurse may have noticed subtle changes in the patients’ physical condition much earlier than the monitors do.
The savvy machinist may hear an anomaly in the noise from an old tool and just know the machine requires maintenance.
The proficient project manager might have noticed the relationship between two key stakeholder groups deteriorating well before the tangible signs of breakdown were evident.
The well-versed account manager may recognize that a client is quietly disengaging long before declining renewal rates or negative feedback makes it obvious.
These can be moments where organizational failures are averted long before anyone even sees an indicator on a dashboard. These are moments that create and deliver value to an organization every day, yet remain invisible to most of its people and many of its systems.
The Things Dashboards Cannot Remember
The majority of businesses believe their decisions are based on facts. In reality, they generally base their choices on whatever facts happen to be quantifiable. Culture is one of the clearest examples of such behaviour.
Companies commonly try to measure culture through surveys, retention data, absence rates, and employee satisfaction scores. While such information is useful, culture itself is not a figure. It is actually the unwritten principles and practices that establish whether workers report errors early or cover them up. It’s that thing that makes junior employees feel empowered to question those higher up. It’s that je ne sais quoi that leads groups to readily volunteer their expertise rather than guard it or choose to assist their colleagues, even when no one is watching.
Boiling these activities down to a handful of quarterly data points has the threat of mistaking the map for the land. The same is true of reliance on craftsmanship, mentorship, interest, durability, and expert judgment. Organizations seldom lose these features overnight. Rather, they simply fail to mention them because they stop measuring them and ultimately stop noticing them.
As soon as something is missing from the discussion, it tends to be absent from decisions on the whole. That is possibly the major peril of KPI memory loss: organizations do not intentionally cease caring about what is most important; they become so adept at remembering their numbers that they fail to remember everything those numbers can not tell them.
The Hidden Costs of Measuring Everything
Most companies do not wake up one morning deciding to disregard culture, relationships, or craft. It happens more subtly, often barely perceptible to the senses.
A new dashboard gets added.
An additional KPI arrives.
Quarterly reviews become more number-focused.
Charts, scorecards, graphs, and trendlines support decisions.
Conversations turn to the question of what we can measure versus what we ought to be asking.
It appears to be a reasonable transition. At the end of the day, numbers are objective, are they not? They establish commonalities and help control a complicated organization. However, numbers are also a source of our most profound blind spots.
Think of onboarding. Think really well. While it seems prudent for a company to track the number of days before a new employee reaches full productivity, there are typically no measures around building trust with other staff, the organization’s unspoken rules, or the logic behind past decisions. This results, six months and two seasons later, in a productive individual who, by all accounts, repeatedly makes the exact same mistakes the company had already overcome a decade earlier.
The knowledge had existed, scribbled on meeting minutes or stored in the heads of long-serving staff or within an unheard conversation, but it had never reached the recipient in need. This tendency pervades almost every field of work.
An oil and gas operation may monitor equipment uptime and production volumes with remarkable precision, while overlooking the field operator whose practical experience prevents a minor anomaly from escalating into a costly shutdown.
A government agency can report on service delivery targets and policy milestones with detailed dashboards, yet fail to recognize the informal relationships between departments that quietly determine whether complex initiatives succeed or stall.
A real estate firm may measure listings closed and average time on market with ease, while overlooking the seasoned agent whose local knowledge and trusted network resolve problems before they jeopardize a sale.
A hospital may monitor how long patients wait with a stop clock, yet it would struggle to assess the level of trust a pair of experienced nurses builds.
A legal firm could chart the time partners log on individual cases with great precision, while ignoring the unstructured mentoring that cultivates new associates from rookies to confidants.
A manufacturing operation can track its output by the hour, but may miss the insight of the retired engineer who stops a press before it breaks down, preventing a sensor from triggering.
With all of these cases, tangible output may increase; however, the intangible abilities that support that output go largely unnoticed until they can no longer be ignored.
When Efficiency Begins Replacing Craftsmanship
Nowhere may the dichotomy be stronger than in craft. Craft isn’t limited to woodworkers and machinists – there’s an equivalent for every role. A software engineer’s craftsmanship might not be about delivering features as quickly as possible but rather about writing testable and maintainable code. A customer success manager’s craftsmanship might be recalling some tiny, human detail from a conversation with a customer and using it to make them feel deeply seen. These are habits you practice into being, not lessons you teach into being.
Picture two identical table factories.
One rewards everyone for output alone (units per shift). The other one measures output AND craft (the ability of seasoned employees to mentor and teach the younger ones). Thus, the most experienced artisans have time to think of better ways to practice their craft, and they reject pieces they deem inadequate, even if it slows output, while prepping a new generation that comes after. One year in, the output factory is ahead.
Five years later, the craft factory might have developed an entire workforce capable of creating not just more output, but better & smarter output without sacrificing quality or values. Their competitive advantage wasn’t about today’s output; it was about tomorrow’s capabilities, and quarterly KPIs don’t easily capture them.
It grows over years so subtly you usually only realize it’s gone after you notice its absence.
The Things Employees Stop Doing
Not only do metrics influence what employees do, but they also influence what employees quietly stop doing. Take a veteran project manager who routinely spends their Friday afternoons working through colleagues’ complex, messy projects. There is no metric for mentoring, no dashboard tracking generosity, and no quarterly goal to help other departments meet their targets.
Nevertheless, when the company adopts a utilization rate that values nearly all hours spent on billable activity, the manager is never explicitly asked to halt his mentoring, only that “we’d love for you to be 100% utilization and work your shift’s duration on billable projects”. Over time, the manager has trouble justifying mentoring anyone.
Then, in an instant, poof, it’s gone!
The company gets 3% points of utilization and a loss of something far harder to repair. Moreover, those who, at this point, would be tempted to say “it’s just an individual matter” should remember that a company is made up of hundreds to thousands of living, breathing individuals. It’s not so much that one person stops functioning; entire departments stop sharing knowledge, because collaboration time could be allocated to departmental goals. Managers stop coaching team members because getting stuff out the door right now takes precedence over people’s development and future growth. Employees hesitate to try innovative projects because failed attempts have consequences for their personal evaluations. These things are not deliberate managerial decisions; these are inevitable responses to organizational cues and the incentives we keep mentioning.
Peter Drucker observed well: “What gets measured gets managed.” Yet what is not measured will be ignored, seldom discussed, forgotten, and will surface as unforeseen consequences later on.
When Good KPIs Produce Bad Decisions
The KPIs themselves may not be wrong; they’re just limited. A good metric can become a bad one when it shifts from a guidepost to the destination itself. Organizations of all shapes and sizes have had the same experience.
Software Development
For many years, developers were measured by the lines of code they wrote. On the surface, the logic seemed fine – the more code written, the more productive the developer. Unfortunately, developers were incentivized to write more code, not better code – ye’ ol’ quantity-over-quality shenanigan. Conversely, modern software engineering holds that good solutions often involve writing less code.
Healthcare
Patient throughput in the emergency room is routinely monitored for a range of reasons, not least to reduce wait times and improve access to care.
This metric is clearly important, but clinicians are aware that meaningful conversations, nuanced observations, and shared decision-making cannot always be neatly slotted into pre-set time boxes. Hospitals that focus solely on speed do so at the risk of missing key aspects of care.
Aviation
Even in this highly quantitative field, there is an understanding that not every important thing can be represented by a number.
Commercial airlines meticulously monitor thousands of variables, from fuel efficiency to maintenance schedules. Nevertheless, they spend a considerable amount of time and resources on developing Crew Resource Management (CRM), an approach focused on building communication skills, mutual trust, leadership, and a safe psychological environment within the cockpit. These aspects are not ignored because they are hard to measure. They are carefully nurtured because, as history shows, they save lives.
Automotive
Perhaps one of the most widely known examples in the business world comes from Toyota, the Japanese automaker. The Toyota Production System (TPS) is well known for its metrics and continuous improvement methodology. Concurrently, it also strongly emphasizes people development, encourages employees to halt the line if they detect quality issues, and views improvement as a collective learning process rather than a numbers game. In essence, the numbers do matter, but so do the conversations that occur around them, and that can be easy to miss.
Companies struggling with KPI memory loss tend to assume that if a metric is not displayed on the dashboard, it cannot be strategically important. The healthiest companies take the opposite approach. They understand that the dashboard offers only a partial picture of the organization’s health.
Some of its most vital components – trustworthiness, judgment, craftsmanship, curiosity, mentorship, and shared experience – remain alive, regardless of whether they are measured. The real problem is not whether to rely on numbers or intuition, but rather the failure to remember that one can never replace the other.
What High-Performing Organizations Choose Not to Measure
That raises an interesting question: if some of the organization’s greatest capabilities are elusive to measure, what do the best organizations in the world do?
They can’t just abandon performance measures, right? RIGHT?
Right, they don’t. In many cases, high performers recognize that measurement has its limits.
Take a look at Pixar. For years, the animation studio has turned out films that win hearts and minds and create core childhood memories for parents and children alike. Of course, Pixar monitors budgets, schedules, and production milestones. Yet some of the real magic happens because the company is willing to make room for what can’t be quantified by a KPI: candid dialogue.
One of the most widely discussed Pixar traditions is the Braintrust, a circle of seasoned directors and writers who regularly gather to roast works in progress.
No scores, no charts, no dashboards, no key performance indicators. What matters is genuine feedback, a psychological safety net, and a willingness to push ideas (not people) to their breaking point. The organization creates room for judgment.
Now let’s go back to Toyota for a second.
Not everything gets translated into a number. The famous Toyota Production System may be well known for its metrics and focus on continuous improvement, but one of the company’s enduring guiding principles is respect for people.
Its workers feel empowered to halt a production line when they spot a flaw not because a performance measure mandates it, but because their judgment is trusted and valued.
This doesn’t mean that Toyota avoids measuring. It has more to do with the fact that it appreciates that its greatest assets reside alongside its measurements, not within them. That theme will appear time and time again across top-tier companies.
Experienced executives don’t just ask, “What should we measure?” ❌
They ask, “What do we need to keep talking about even if we can’t measure it perfectly?” ✅
Beyond Dashboards: Remembering the “Why“
One theme that echoes throughout the literature on organizational memory is that organizations are pretty good at recording what happened. They’re a whole lot worse at remembering why it happened.
Minutes of meetings show what was decided, project plans show when the decision was made, dashboards show what the result was; however, even with all that, the reasoning behind the decision (the trade-offs it required, the alternatives it rejected, the hunches it relied on) often remains elusive.
Think about walking into a company where the same customer policy has been in effect for a decade. Everyone adheres to it, but nobody knows why. Its memory has been lost among dusty desks and cramped file cabinets. A manager suggests tweaking it, as it seems stale and no longer aligns with the organization’s current state. Their peer protests that “it’s always been done this way,” yet none of them can tap the original logic behind it all. It’s not just that information is missing. The entire context for the origin of the information is missing.
This is the plight of most KPIs as well.
We recall that our customer satisfaction score dropped four points, and not that our recent reorganization had frayed our client relationships months prior.
We recall that productivity grew by 12%, and not that our employees started shunning one another to get there.
We recall that costs declined, but not which abilities those reductions simultaneously hobbled.
We recall that revenue exceeded its target, and not that a handful of unsustainably large discounts drove it.
We recall that safety incidents declined, and not that workers had become increasingly reluctant to report near misses.
Numbers capture results or the end product. Stories capture context or the journey to said end product. The best companies value both.
Building Organizations That Remember More Than Numbers
None of that is to say that companies shouldn’t measure less. Often, they should probably measure better. A balanced performance system understands that metrics are evidence, not adjudication.
When your engagement metric drops, it should start a conversation, not conclude it.
When your productivity metric improves, you should question your leaders: “What did you change? What may have suffered as a consequence?”
In the same way, when there’s an unexpectedly great result, don’t just look at it on a celebratory dashboard and gloat to everyone near & dear. Dig into it: What did we do differently to get here? Was it more collaboration? Did a senior, intuitive employee make a gut call at just the right moment? Did the team have enough faith in each other to say, “Hey, this isn’t working?”
Some companies consciously strive to keep institutional memory alive through mentoring, after-action reviews, storytelling, communities of practice, intergroup collaboration, and discussions focused on reflecting on the past. These are more than just tools for transferring knowledge. They are tools for transferring judgment because, as the adage goes, judgment doesn’t live in the data alone. It lives from person to person, conversation by conversation.
Final Thoughts
Performance management has revolutionized modern management. Organizations would have a hard time understanding performance, gauging results and failures, allocating resources, or identifying potential risks without KPIs. The use of metrics remains the strongest lever available to leaders. However, every tool has its limitations.
A map shows us the path around a city; it’s not the city itself. Likewise, a dashboard illustrates organizational performance; it’s not organizational performance itself. Organizational performance is much more than just mere engagement numbers; leadership is much more than productivity metrics; organizational innovation is much more than just the number of ideas spewed forth by lateral thinkers; organizational customer loyalty is much more than Net Promoter Scores, and our organization’s memory is much richer than any data we collect in reports and dashboards.
The single largest risk may be that we measure too much, rather than recognizing that there are more ways than measurement alone can provide. Organizations do not become exceptional by quantifying everything; they become exceptional by discerning what must be quantified and what must be conversational, observant, coached, and trusted.
Numbers tell us what happened; people explain to us why the numbers happened.
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Many organizations believe that employees who disengage lack motivation or discipline. However, most of the time, people disengage for less obvious reasons, such as a lack of clarity.
When people are not fully aware of what matters, why it matters, how urgent it is, or how success is defined, a gradual shift in performance begins. Teams keep working, meetings keep happening, deadlines are being met, and dashboards are being updated, but truly productive momentum is fading.
The organization, while busy on the outside, is subtly becoming misaligned beneath the surface.
This disconnect rarely happens because employees lose interest. More often, it occurs when strategy gets fuzzy, or performance systems overwhelm rather than guide. In these instances, humans intuitively start to optimize for predictability rather than for impact.
The net result is an organization that is busy but lacks momentum.
Recognizing the psychological and operational impacts of vague objectives is critical for organizations striving to link strategy with execution. When goals lack clarity, the highest-performing teams will inevitably lose focus, ownership, and engagement over the longer term.
Why Employee Engagement Fades When Goals Feel Vague
Employees are more likely to remain engaged when they have a clear understanding of the purpose and meaning that their efforts will ultimately generate. When organizational objectives feel distant, intangible, inscrutable, or disconnected from daily actions, a sense of purpose dwindles.
Most organizations have their strategy documented in broad strokes. Common strategy descriptions are “become more innovative”, “focus on the customer”, “lead the transformation”, or “drive greater growth”. While appealing at the leadership level, these aspirations provide little direct guidance for employees.
This begins to create psychological dissonance between effort and outcome.
People naturally seek validation of their efforts and will readily respond to goals that provide evidence of what they are working towards. When individuals don’t have that direct visibility and connection to business outcomes, work becomes functional rather than purposeful.
Emotional investment then begins to decline with celerity.
Employees start to emphasize the accomplishment of immediate, tactical tasks over those that lead to meaningful organizational outcomes because the former offer clearer feedback and more predictable results.
Abstract goals also create divergent interpretations across the organization. Different parts of the organization define success using their own unique frame of reference rather than by overarching organizational goals.
Fragmentation ultimately weakens alignment as it expands throughout departments and teams.
This impact is exacerbated in larger, geographically diverse, or hybrid organizations.
Engagement doesn’t come from being assigned work; it comes from a clear understanding of what it represents.
The Psychological Impact of Unclear Priorities
In addition to reducing operational efficiency, undefined priorities induce psychological stress.
When individuals face competing demands, constantly shifting expectations, or inconsistent direction, they live with perpetual uncertainty about where to direct their efforts.
Humans crave clarity and predictability. When organizational priorities are murky, employees enter a continuous evaluation cycle, questioning their own decisions and seeking clarification from managers.
Stress levels increase
Employees may grow fearful that they are focusing on the wrong tasks or failing to meet expectations.
Cognitive efficiency decreases
Employees divert their attention to several perceived urgencies instead of focusing on tasks that generate strategic value.
This inevitably drives reactive, rather than strategic, decision-making.
Organizations rarely appreciate the compounding impact that this situation has on employee performance.
Conflicts arise, priorities must be constantly re-negotiated, and employees often give up trying to anticipate future work and simply manage the current uncertainty.
Overloading the Employee’s Mind with KPIs
Performance measurement is crucial for establishing and maintaining alignment across an organization; however, organizations often undermine performance when they measure too much.
As businesses become increasingly data-driven, organizations tend to develop more sophisticated KPI-based measurement systems and dashboards. Ironically, when overused, they can cause cognitive overload.
You can only keep a couple of metrics truly in focus. The moment you start asking people to juggle fifty metrics, attention becomes diffused.
This causes three distinct problems:
1. Paralysis
People cannot decide which metrics truly matter and either spread their effort thinly across all of them or focus only on the easiest metrics to influence.
2. Reduced Strategic Focus
Instead of focusing on organizational outcomes, individuals and teams focus on individual metrics.
You end up rewarding people for managing dashboards instead of solving problems.
3. Increased Mental Fatigue
People are forced to keep switching tasks, and the cost of switching accumulates.
The result is that the measurement system itself becomes demotivating.
The most effective organizations succeed because they know that using too many metrics creates more complexity and less clarity.
How Ambiguity Produces “Safe” Instead of Effective Work
An unclear environment can often lead employees to produce “safe” work.
“Safe” work implies completing tasks in a way that minimizes individual risk or visibility.
Ambiguous organizations tend to foster environments where risk-taking is discouraged.
The organization starts to become performance-oriented toward easily defensible activities.
The culture of innovation, as a result, becomes greatly hindered.
Employees are encouraged to maintain the status quo even if it isn’t delivering true organizational value.
By reducing the psychological costs of taking action, organizations increase motivation to do meaningful work.
The Distinction Between Compliance and Commitment
Compliance: employees work to do what they are told.
Commitment: employees work to achieve desired results in ways they believe add value.
These may appear similar on the surface, but what happens underneath is fundamentally different.
Compliant employees focus on doing enough to satisfy expectations.
Committed employees proactively solve problems, collaborate effectively, and adapt more willingly to change.
The gap between compliance and commitment is fundamentally a problem of unclear purpose, low trust, and lack of meaning.
Companies driven by commitment outperform those that rely solely on compliance.
Final Thoughts
The most fundamental reason companies fail isn’t that their people don’t work hard enough; it is that the work they do does not add sufficient value because they cannot clearly see the point.
Unclear priorities, complex systems, and undefined success measures dilute people’s focus, create psychological stress, and diminish initiative.
Strategic alignment is a psychological discipline as much as a tactical or operational one.
Without clear alignment, people can put in a lot of effort without ever having a significant impact because the connection between their work and intended results is too weak.
Strategy sounds straightforward in theory: define where you want to go, how you want to get there, communicate it, and then execute.
In practice, most organizations discover that the real challenge isn’t deciding what to do, it’s who is doing it and how.
That’s where cascading and alignment become critical. When done right, they connect high-level ambition with everyday execution. When done poorly, they sow confusion and reap stalled progress.
To make this more tangible, let’s step away from theory and look at how cascading strategy and alignment could play out in practice across different industries.
These are not real case studies, but realistic scenarios that highlight both the structure and the thinking behind effective cascading.
1. Financial Services: Balancing Growth, Risk, and Compliance
In financial services, strategy is rarely about growth alone. It’s about growth within strict regulatory boundaries, where risk management and customer trust are just as important as revenue.
Imagine a financial institution sets a corporate goal:
“Increase loan portfolio value by 20% while maintaining regulatory compliance and reducing default rates.”
At first glance, this appears to be a single objective, but it has multiple layers of complexity.
A) At the departmental level, this goal begins to split into specialized priorities.
The lending department focuses on increasing loan approvals and expanding customer segments. Meanwhile, the risk team concentrates on improving credit assessment models to ensure that growth doesn’t lead to higher default rates.
B) At the team level, these objectives become measurable.
A credit risk team might introduce a KPI to reduce approval time while maintaining risk thresholds.
C) At the individual level, this translates into very specific actions.
A loan officer might be responsible for processing applications within a certain timeframe while maintaining quality checks.
Alignment here is about ensuring that growth does not compromise risk or compliance.
2. Technology: Scaling Innovation Without Losing Focus
Technology companies often operate in fast-moving environments where priorities shift quickly.
Consider a tech company with the strategic goal:
“Expand into three new international markets while improving product scalability.”
A) At the top level, this is a growth and capability objective.
Product teams might focus on localization, while engineering prioritizes scalability and infrastructure.
B) At the team level, goals become more concrete.
Engineering teams might aim to reduce system downtime while increasing capacity.
C) For individuals, this becomes part of daily execution.
A developer may optimize backend performance, while marketers experiment with localized messaging.
Cascading ensures that growth occurs without compromising system reliability.
3. Government: Aligning Policy, Public Services, and Long-Term Impact
In government, strategy is broader, more complex, and highly visible to the public.
Imagine a national government sets the strategic goal:
“Improve public healthcare access by 30% while maintaining budget discipline and service quality.”
A) At the top level, this becomes a policy-driven objective.
Health ministries focus on expanding healthcare access, while finance departments ensure responsible spending.
B) At the operational level, goals become measurable.
Hospitals may track patient wait times, while digital teams focus on increasing online health service adoption.
C) For individuals, this translates into clear responsibilities.
Healthcare administrators manage resource allocation, while policy analysts monitor outcomes and recommend improvements.
Effective cascading ensures that national priorities translate into measurable public outcomes.
Alignment ensures that speed does not compromise quality.
8. Automotive: Integrating Innovation, Cost, and Market Demand
The automotive industry is under pressure to innovate while managing costs.
Consider an automotive company with the goal:
“Launch a new electric vehicle model within 18 months while maintaining cost efficiency.”
A) R&D focuses on development, procurement manages sourcing, and marketing prepares the launch.
B) At the team level, goals become measurable.
Engineering teams track milestones, procurement focuses on cost efficiency, and marketing aligns campaigns with launch timelines.
C) For individuals, execution becomes highly defined.
Engineers test components, procurement specialists negotiate contracts, and marketers build launch strategies.
Cascading ensures innovation remains aligned with financial constraints and market expectations.
Final Thoughts
Across all these industries, the specifics change, but the underlying challenge remains the same.
Strategy only works when it is connected to execution, and that connection depends on alignment.
Cascading goals provide the structure for that alignment, ensuring that every level of the organization understands not only what needs to be done but also how it contributes to the bigger picture.
When organizations cascade effectively, they improve collaboration and turn strategy into something tangible. When they don’t, even the best plans struggle to deliver results.
Alignment is not just a supporting element of strategy — it is what determines whether strategy succeeds or fails.
The balanced scorecard (BSC) is a widely used performance measurement framework for strategic planning. It is so popular, in fact, that The KPI Institute’s latest State of Strategy Management Practice report found that 40% of respondents from Middle Eastern companies were using it. Why is that the case? It’s likely in the name—the BSC offers a balanced perspective of a company’s performance, focusing not just on financial gains but the various aspects of value creation as well. This enables companies who use it to establish sustainable business practices that can meet long-term goals without sacrificing short-term improvements.
What Is the BSC?
In 1992, Robert Kaplan and David Norton dreamed of a better way. Aware of the limitations of traditional practices that focused solely on financial indicators such as return on investment (ROI) to measure a company’s performance, the two designed a tool that incorporated non-financial variables to paint a more holistic, comprehensive picture. Thus, the balanced scorecard was born.
The BSC was further refined by connecting performance metrics directly to strategy, which marked a formal link between strategic goals and performance measurement. In 1996, it became a performance management system (PMS) that effectively integrated the various crucial aspects of an organization—i.e. strategic processes, resource allocation, budgeting and planning, goal setting, and employee learning.
By 2001, the BSC had outgrown its original form, no longer seen as a mere management tool but instead as an all-encompassing strategic management and control system. The BSC has continued to evolve alongside the ever-changing priorities of the business world. In 2021, many companies began integrating environmental and social dimensions into their BSCs to reflect their triple bottom line strategies.
The BSC gives managers a view of the business from four crucial perspectives. Each perspective deals with an integral aspect of the organization and answers a specific question:
Customer Perspective: How Do Customers See Us?
Companies typically have a mission statement that encapsulates how they interact with customers. For example, e-commerce platform Etsy’s mission statement is “Keep Commerce Human.” This sentiment informs the way the company does business, which places importance on leaving a positive economic, social, and ecological impact.
The BSC holds companies accountable to their mission statements by translating them into specific measures that must be followed. For Etsy, one aspect to consider would be the diversity of its workforce, which falls under social impact. To address this, the company has taken measures such as increasing the presence of underrepresented communities in its seller community by interviewing candidates from those backgrounds. This has enabled the company to stay true to its mission and show customers that it walks the talk.
Internal Perspective: What Must We Excel At?
Balance is the primary focus of the BSC—it’s in the name, after all. Thus, the framework doesn’t only take into account the way customers perceive the company, but it also considers what the latter does to shape this perception. This is composed of the various operational and organizational processes that drive the company.
By giving managers an internal perspective, they can identify, track, and measure the processes that yield the most benefits and close the gaps on the ones that fall short.
Learning and Growth Perspective: Can We Continue to Improve and Create Value?
The business landscape is constantly shifting, and in order to keep pace with its changes, businesses must consistently learn and innovate. That is the importance of this perspective, which states that a company’s value hinges on its ability to improve. In any industry, competition can be fierce, which means companies must always find new ways to stand out.
Financial Perspective: How Do We Look to Shareholders?
Among the four perspectives, this is perhaps the most straightforward. Put simply, it indicates if a company is profitable. Although financial performance is no longer the end-all, be-all measure of a company’s success, it still plays a crucial role in determining whether a company is simply surviving or thriving. Shareholders understandably value profitability, and they won’t keep investing in a company that doesn’t produce ROI.
The BSC is by nature a holistic framework, meaning each part is interconnected to the others. This is why it’s important to take a balanced (pun intended) approach when considering the four perspectives. If one side is prioritized over the others, it could lead to the formation or widening of inefficiency gaps that impede business growth and success.
As previously mentioned, the BSC is quite popular. This is due to the myriad of benefits that it brings to organizations that use it wisely. The most obvious benefits of the BSC are twofold. First, it consolidates the seemingly disparate aspects of a business in a single report, leading to increased efficiency in performance reporting and measurement as well as faster decision-making. Second, the BSC helps mitigate suboptimization by making managers consider the entirety of the company’s operational measures, demonstrating whether one objective was achieved at the cost of another.
A more concrete example of the BSC benefiting companies can be seen in how Apple uses the framework. By shifting its focus from innovating its products to also paying mind to customer satisfaction by establishing it as one of the company’s core tenets, the tech giant was able to improve its already stellar reputation by catering to its customers’ desires. Apple also values core competencies, employee commitment and alignment, market share, and shareholder value. Together, these indicators make up the metrics of their BSC.
World-renowned electronic company Philips is also known for its use of the BSC, using a bespoke version of the framework to fit its organizational needs. The company’s focus is on its employees, and it uses the BSC to ensure that each member of its workforce has a clear understanding of the company’s strategic policies and long-term vision.
What Does the Future Hold?
There must be a stronger emphasis on customization as companies realize that there is no such thing as a one-size-fits-all approach to performance management. This aligns with the proliferation of new advancements in artificial intelligence (AI) and machine learning (ML), technologies that must be integrated into the BSC lest the framework fall behind the ever-shifting realities of the business world. Regardless of the future, the BSC appears poised to remain a vital tool for companies of all sizes and in all industries.
Interested in learning more about the BSC? Browse our articles here.
