KPIs Have Become a Management Standard
It is hard to find a modern company that does not use KPIs. Performance indicators are present almost everywhere. Sales are measured by revenue. Marketing is evaluated by the number of leads. Production controls productivity. Logistics monitors delivery times. Projects measure plan fulfilment.
For decades, KPIs have been considered one of the main tools of professional management. This is understandable. You cannot manage what you cannot measure.
Indicators helped companies move from subjective assessments to quantitative management methods. They increased transparency. Created a basis for control. Made organisational activities more predictable.
However, as business complexity grows, many leaders begin to face an unexpected problem. The number of KPIs increases. Management quality does not always follow. Moreover, excessive focus on indicators can sometimes create new problems.
To understand the reasons for this phenomenon, it is necessary to understand how KPIs work and where the limits of their effectiveness lie.
When KPIs Really Work
It is important to note right away: the problem is not with KPIs themselves. In many situations, they remain an extremely useful tool. Indicators work particularly well where:
- goals are clearly defined;
- cause‑and‑effect relationships are clear;
- results are easy to measure;
- the external environment is relatively stable.
For example:
- Quantity of products manufactured.
- Number of orders processed.
- Delivery time.
- Sales volume.
- Defect rate.
In such cases, KPIs effectively control task completion and encourage improvements. Problems begin when the organisation becomes more complex.
The Era of Simple Indicators Is Over
Most modern companies operate under conditions of high interconnectedness. Processes overlap. Teams work on multiple initiatives simultaneously. Systems are integrated with each other. The market changes faster than before.
Under such conditions, a single indicator begins to reflect only a small part of reality. For example:
- If a procurement department is focused solely on reducing purchase costs, it may lead to a deterioration in supplier quality.
- If production is focused only on maximising equipment utilisation, inventory volumes may increase.
- If sales are measured only by revenue, profitability may decrease.
Each KPI remains formally correct. But the overall efficiency of the system begins to deteriorate.
The Problem of Local Optimisation
One of the most well‑known problems with KPIs is local optimisation. Each department strives to improve its own indicators. But the organisation exists as a single system. Optimising individual parts does not always lead to optimising the whole.
Consider a company with three departments. Sales seek to increase order volume. Production tries to increase utilisation. Logistics minimises transport costs.
Each department successfully achieves its own KPIs. But customers begin to receive orders later. Service levels decrease. Conflicts arise between departments. As a result, the company loses competitiveness.
The reason is simple. Each indicator was optimised separately. But no one optimised the system as a whole.
Goodhart‘s Law
In 1975, British economist Charles Goodhart formulated a principle that has become one of the fundamental laws of management. It states:
“When a measure becomes a target, it ceases to be a good measure.”
This principle is especially noticeable in large organisations. As soon as a KPI directly affects motivation, employees begin to adapt their behaviour to achieve the indicator – not necessarily to achieve the real result.
For example:
- A call centre is evaluated by the speed of handling inquiries. Employees start finishing calls faster. The indicator improves. Service quality deteriorates.
- Sales are evaluated by the number of new customers. Managers start attracting lower‑quality customers. The indicator grows. Profit decreases.
Formally, the KPI is achieved. In reality, the business loses value.
Why Indicators Begin to Conflict with Each Other
As an organisation grows, another problem arises. The number of KPIs begins to increase. Each new risk leads to a new indicator. Each new task requires additional control.
After a few years, an organisation may manage hundreds of indicators simultaneously. But indicators rarely exist independently. They begin to conflict.
- Cost reduction may worsen quality.
- Increased speed may reduce reliability.
- Maximum resource utilisation may reduce flexibility.
Thus, leaders face not a shortage of KPIs, but an excess of contradictory signals.
KPIs Do Not Show Cause‑and‑Effect Relationships
Another limitation of KPIs is their retrospective nature. Most indicators describe the consequences of events that have already happened. For example:
- profit decreased;
- timelines increased;
- number of complaints grew;
- productivity fell.
The indicator reports the result. But it does not explain the mechanism of its occurrence. To find the causes, it is necessary to analyse processes, events, and interconnections.
That is why many companies are gradually complementing KPIs with Process Intelligence and Process Mining tools. They help understand not only what happened, but also why it happened.
KPIs Work Poorly Under Conditions of Uncertainty
Modern business is becoming increasingly dynamic. New technologies emerge. Supply chains change. New competitors appear. Customer preferences shift.
Under such conditions, pre‑selected indicators can quickly become irrelevant. The organisation begins to focus on a past model of reality. Meanwhile, reality itself has already changed.
This is one of the reasons why companies sometimes show good KPIs while simultaneously losing market position. They continue to measure what was important yesterday.
Why Events Become More Important Than Indicators
In previous articles, we discussed the concept of the Event‑Driven Enterprise. The event‑driven approach offers a different perspective on management.
Instead of waiting for the next report, the organisation begins to track significant events as they occur.
- Not a decline in sales at the end of the month. But a change in customer behaviour today.
- Not an overdue project. But signs of a future delay.
- Not financial consequences. But the events that lead to them.
This approach allows you to respond earlier. And therefore to manage more effectively.
From KPIs to Process Intelligence
The next stage of development is understanding processes. A traditional KPI shows the result. Process Intelligence shows the path that led to the result.
For example. An indicator reports a delay in order fulfilment. Process Intelligence shows:
- where the deviation occurred;
- which actions caused the problem;
- what correction options exist.
Thus, management gradually moves from controlling indicators to understanding system behaviour.
From KPIs to Decision Intelligence
An even more important step is the next one. Decision Intelligence.
If a KPI answers the question: what happened? Then Decision Intelligence asks a different question: what should be done? This is a fundamentally different level of maturity.
The leader receives not just information. They receive decision support. The focus is not on the indicator itself. But on the actions needed to achieve the organisation‘s goals.
What Metrics Modern Companies Need
Abandoning KPIs is not the goal. On the contrary. Most organisations still need measurements. But the measurements themselves are beginning to change.
An increasingly important role is played by:
Process Metrics
Process speed. Number of deviations. Execution variability. Bottlenecks.
Event Metrics
Frequency of critical events. Response speed. Risk detection time.
Decision Metrics
Decision Latency. Decision quality. Decision‑making speed. Forecast accuracy.
Adaptability Metrics
Speed of change. Process flexibility. Initiative implementation time.
Such a set allows you to evaluate an organisation much more deeply than traditional KPIs.
What Next‑Generation Management Looks Like
Looking at the development of management systems, a certain pattern becomes noticeable.
- First, companies measured results.
- Then processes.
- After that, events.
- Now attention is gradually shifting to decisions.
Management is becoming less indicator‑oriented and more oriented toward understanding the system. Leaders are beginning to ask new questions.
Not only: which KPI has worsened? But also: why did it happen? Which processes led to the result? Which decisions need to be made? What consequences will different courses of action have?
This significantly improves management quality in complex organisations.
KPIs Will Not Disappear — But Their Role Will Change
It is important to understand that KPIs will not disappear. They will remain an important tool for monitoring and evaluating results. But they cease to be the only source of management information.
Indicators become part of a broader system. A system that includes:
- processes;
- events;
- context;
- analytics;
- recommendations;
- decision support.
It is in such an environment that KPIs retain their value without becoming a source of distortion and local optimisation.
Conclusion
For many years, KPIs have been one of the main tools of corporate management. They have helped make business more measurable, transparent, and predictable.
But as organisations become more complex and change accelerates, it is becoming clear that indicators alone are no longer enough.
KPIs show results well. But they poorly explain causes. They help measure the past. But they rarely help manage the future.
Therefore, modern companies are gradually moving from managing indicators to managing processes, events, and decisions.
In this new model, KPIs do not disappear. They become part of a more mature management system, where the main goal is not the achievement of individual metrics, but the organisation‘s ability to effectively adapt to change and achieve strategic results.
That is why the future belongs not to companies with the largest number of KPIs. The future belongs to organisations that better understand their own system and make the right decisions faster.