A dismissal rarely comes as a surprise. There were almost always signals: the colleague who had been quieter for months, the team leader who stopped mentioning her overtime, the developer who had stopped making suggestions for improvement. Most companies did not systematically measure these signals. They sensed, suspected, hoped.
According to the Gallup Engagement Index 2024, only 9% of employees in Germany are highly emotionally engaged with their employer, while 78% show low engagement. The resulting productivity losses amount to approximately €113 billion per year. This is not an abstract economic issue. It is a direct business problem. The Indeed Work Wellbeing Report 2025, conducted in collaboration with the University of Oxford, confirms this trend: only 24% of employees in Germany report feeling mostly happy at work, down from 41% in 2023. In international comparison, Germany ranks last.
Where do the problems arise in everyday business life?
The problem is rarely that companies don’t care about their employees. The real issue is that they operate without reliable data.
An annual performance review does not provide a dependable measure of sentiment. Informal feedback cannot be aggregated. And sick leave only reveals problems once they have already escalated.
An IT service provider with 40 employees and a high project workload only realized after the third consecutive sick day that an employee had been overworked for weeks. A management consultancy with a 22% annual turnover conducts exit interviews, but the insights remain vague. A digital agency relies on team leads to assess team sentiment and wonders why the results presented in annual meetings always appear more positive than what management actually senses.
In all three cases, the same issue becomes clear: there is no systematic, scalable process for measuring employee satisfaction.
How much does it cost not to measure
According to the EY job study 2025 Only 34% of employees in Germany describe themselves as completely satisfied. Almost a third work according to regulations. The direct costs of an unfilled position — recruiting, training, loss of productivity — are 30 to 150% of an annual salary, depending on the role and skill level.
Fluctuation caused by lack of measurement and lack of countermeasures is not an HR problem. It is an outcome problem.
What employee satisfaction actually means and how it shows
Employee satisfaction and employee engagement are often used interchangeably, but describe different conditions. Satisfaction describes whether working conditions meet expectations. Engagement describes whether employees are actively and emotionally invested. Both concepts are interdependent, but a satisfied employee is not automatically a committed one.
What actually influences employee satisfaction
The HP Work Relationship Index 2025 analysed 18,200 office workers in 14 countries and came to a remarkable conclusion: 85% of the factors that influence job satisfaction are directly controlled by companies. Not in the personal lives of employees, not in the economic situation, but in your decisions as a manager or employer.
Measurable influencing factors include: workload in relation to available time, fairness in the distribution of tasks, transparency in communication, development prospects and autonomy.
Workplace happiness is not created by foosball or a fruit basket in the coffee kitchen, but by predictable working conditions.
Indirect signals that indicate dissatisfaction
Before you actively measure, there are warning signs that you can already evaluate today: rising absenteeism rates, growing overtime without any discernible consideration, declining participation in voluntary formats and an increased proportion of passive applications for internal tenders. These indicators don't arise out of thin air.
Measuring employee satisfaction: methods that work
There are two basic approaches: direct and indirect measurement. Both are justified and the most meaningful results come from their combination.
Direct measurement: surveys with structure
The classic employee survey is the most well-known instrument. It is suitable for more in-depth analyses, but should be treated with caution: One-off annual surveys without any discernible follow-up lower the trust of the workforce instead of strengthening it. When employees give feedback and nothing happens, the next participation rate is measurably lower.
Pulse surveys have been established for ongoing operations: short, anonymous queries with 3 to 7 questions, which take place monthly or quarterly. They provide current mood images and are low-threshold enough not to cause fatigue.
eNPS: The one question that provides orientation
The Employee Net Promoter Score (eNPS) is based on a single question: “On a scale of 0 to 10, how likely is it that you would recommend our company as an employer?” Anyone who answers 9 or 10 is considered a promoter. Whoever answers 0 to 6 as a Detractor. The eNPS is calculated as the difference between the percentages: promoters minus detractors.
A value above 30 is considered good. The eNPS is easy to collect, easy to compare and shows trends over time. His limit is to reduce it to one number: You know how high the loyalty is, but you don't yet know why. A free text question is therefore recommended as an addition.
Indirect measurement: Key figures that are already available
You don't need to build a new infrastructure to collect indirect indicators. Most relevant data is already available:
The fluctuation rate shows how many employees leave the company within a year. A guideline of 5 to 10% is considered normal for many industries; values above this are a clear signal. The absenteeism rate provides evidence of overwork, demotivation or health problems. And the overtime rate shows whether individual employees or teams are systematically doing more than planned, which is often an early indicator of imminent exhaustion or emigration.
According to the IW Cologne Report on Work Motivation 2025 It turns out that employees with a higher engagement index rate the probability of switching significantly lower. The reverse is also true: Anyone who is permanently overloaded and does not recognize any relief is looking for alternatives.
Which key figures show employee satisfaction in the company?
In addition to direct surveys, several operational indicators can provide information on actual satisfaction in the company. It is not a single key figure that is decisive, but the interplay of several indicators.
When several of these indicators show negative developments at the same time, this is often a clear signal of structural problems in everyday working life.
How to implement a measurement process without your own HR department
Many SMEs shy away from the hassle of systematic measurement because they equate it with their own HR team. That is a mistake in thinking. A functioning measurement process does not need a separate department, but a clear rhythm.
Step 1: Define what you want to measure
Not every company has the same risk areas. An IT company with a high level of project workload should measure overload and workload equity. Advice involving fluctuation should focus on loyalty and career prospects. Before the first survey, define: What is the specific problem that you want to understand?
Step 2: Select an appropriate survey format
For an introduction and regular survey: eNPS plus two to three open additional questions, quarterly. For more in-depth analyses: complete employee survey, once a year, with focus topics depending on current challenges. Important: Anonymity is not an option, but a prerequisite for honest answers.
Step 3: Communicate results transparently
The most common mistake after an interview is silence. If employees don't know what's happening with their feedback, they lose confidence in the tool. Share the results with the team in aggregate form. Name three specific issues that you will address over the next 90 days. And check back in the next cycle to see if something has improved.
Step 4: Link survey data with operational data
An eNPS score of minus 12 tells you that something is wrong. He won't tell you where. When you compare your survey results with existing operational data — overtime by department, absenteeism development, project workload — you get a glimpse of the causes. It is this adjustment that turns measurement into control.
Although many companies know that they should evaluate existing data, they do not do so systematically. In practice, a monthly evaluation of just a few key figures is often sufficient to identify critical developments at an early stage.
In project-based companies For example, is it worth taking a regular look at the following questions:
- Which employees work significantly more hours over several weeks than planned?
- Which projects regularly involve overtime?
- Which teams have the highest absenteeism rate?
- Are there project phases in which load peaks occur regularly?
When project management or management look at these key figures together once a month, a much clearer picture of the actual stress situation in the company is created. Survey data then no longer just shows sentiments, but can also be linked to real working conditions.
Three scenarios from practice — and what the data showed
IT service providers: The invisible overload
A IT service provider with 40 employees lost 3 key employees in one quarter. The exit interviews revealed: too much work, too little support. As a result, it turned out that these three employees had each accumulated more than 40 hours of overtime in the previous six months. Documented in the time tracking, but not systematically evaluated by anyone. A monthly look at the distribution of workload would have made the imbalances visible before the first layoffs came.
Management consulting: Fluctuation without cause
One business consulting With 60 employees, he regularly conducted exit interviews, but the results remained diffuse. Structured eNPS surveys with free text fields provided a clear picture for the first time: It was not the content that was the main point of criticism, but a lack of transparency in project staffing. Employees did not know what criteria they were employed according to. With clearly communicated rules for resource planning The willingness to change fell measurably within two quarters.
Digital agency: When team leaders like everything
In a digital agency With 25 employees, team leaders regularly rated the level of satisfaction in their teams as high. Anonymous pulse surveys painted a different picture: Three out of four employees did not feel sufficiently informed about company decisions. The direct survey without a guarantee of anonymity would never have produced this result. The agency then introduced a monthly management update with a Q&A format.
Working time data as an underestimated satisfaction indicator
In many project-based companies Overload situations do not arise suddenly. They develop over weeks or months. The first clues are often already visible in the working time data.
If individual employees consistently work fifteen to twenty percent more hours than their colleagues, frustration results in the long term. The same applies to projects whose time budgets are regularly exceeded or for teams that have a significantly higher workload over several months than other departments.
Such patterns often remain invisible in everyday life because managers base their assessment on individual conversations or subjective impressions. Only a systematic evaluation of working time and workload shows whether overwork is actually an individual problem or a structural pattern in the company.
Measuring employee satisfaction doesn't mean just carrying out surveys. In project-based companies, working time data is a valid and often underestimated indicator of job quality.
When individual employees consistently work 20% more hours than their colleagues, this is not an individual feature — it is a structural problem. If certain project phases are regularly accompanied by mountains of overtime without compensation being created, dissatisfaction is inevitable.
What transparency about working hours has to do with satisfaction
Fairness is one of the strongest drivers of job satisfaction. And fairness is imperceptible without transparency. When employees can see how their working time is in relation to that of their colleagues — and when they experience that imbalances are being actively addressed — trust in corporate management increases.
With ZEP, you track working hours specific to the project and make workload differences between employees and teams visible. As a result, managers can recognize in a very concrete way
- Which employees work significantly more hours than planned over a longer period of time,
- Which projects regularly spend more time than calculated,
- Which teams are permanently working at an above-average capacity.
With this information, you can resources adjust earlier, plan projects more realistically and reduce team overload. The combination of digital time tracking, resource planning and the absence module provides the operational data image that contextualizes your survey results.
This does not create a sentiment based on instinct, but a well-founded data basis for concrete measures. Which department needs relief? Which project phase regularly produces overtime? Where does the actual load deviate most from the planned load? A survey alone does not answer these questions. The combination of time recording and employee survey does.
In addition, it is recommended to look at absenteeism management and structured approaches in retention management to design measures not in isolation but as part of an overall concept.
How companies start within 90 days
Getting started with systematic measurement doesn't have to be complex. Many companies start with a simple three-month process.
month 1
Start of a short anonymous pulse survey with eNPS and two open questions about workload.
month 2
Analysis of existing operational data such as overtime, workload and absenteeism by team or project.
month 3
Derivation of specific measures. This includes, for example, adjustments in resource planning, clearer project priorities, or additional support for overworked teams.
This process combines subjective feedback from employees with objective operational data. It is only this combination that enables companies not only to record sentiments, but also to understand the causes in everyday working life.
Conclusion: Measuring is no longer an option
Nine percent of emotionally bound employees are not a law of nature. They are the result of a lack of control. Companies that measure employee satisfaction act earlier, more precisely and with less fluctuation damage than those that rely on gut feeling.
Getting started doesn't have to be complex. An eNPS cycle, a clear communication routine and the systematic evaluation of existing operating data are sufficient to close the gap between perceived and measured satisfaction.
If you not only want to measure employee satisfaction, but also want to understand its causes, in addition to surveys, you need transparent working hours and workload data. This is exactly where the basis for well-founded decisions in project business is created.
Anyone who shows their employees that their feedback has consequences is investing in the only resource that truly makes their company irreplaceable.
FAQs
What is the difference between employee satisfaction and employee engagement?
Employee satisfaction describes whether working conditions meet an employee's expectations. Employee engagement goes beyond that and describes the extent to which someone is actively and emotionally invested in their work. A satisfied employee is not automatically a committed employee — conversely, a high level of commitment is not sustainable in the long term without fundamental satisfaction. For a valid measurement, you need both perspectives.
How does the eNPS work and how do I calculate it?
The Employee Net Promoter Score (eNPS) is based on the question: “On a scale of 0 to 10, how likely is it that you would recommend our company as an employer?” Whoever answers 9 or 10 is considered a promoter; anyone who gives 0 to 6 is considered a detractor. The eNPS results from: percentage of promoters minus percentage of detractors. Values above 30 are considered good, values below 0 are a clear warning sign and require targeted measures.
How often should I measure employee satisfaction?
Annual surveys are not enough to be able to react at an early stage. A three-stage rhythm has proven effective: monthly or quarterly pulse surveys for rapid sentiment, a more detailed employee survey once a year and occasional surveys following major changes such as restructuring or team changes. It is not the frequency alone that is decisive, but that every survey is followed by a visible follow-up.
Which indirect indicators show whether job satisfaction is falling?
The most significant indirect indicators are the turnover rate, the absenteeism rate and the development of overtime. If the fluctuation rate rises without the market environment having changed, this is a signal. If absences are piling up in certain departments, it's worth taking a closer look. And when individual employees consistently work significantly more hours than the average, dissatisfaction is often already programmed — even if the next survey still shows good results.
What happens if I conduct employee surveys but don't respond to the results?
Surveys without apparent follow-up are counterproductive. Employees who give their feedback and see no response lose confidence in the instrument and in management. Studies show that lack of feedback following a survey leads to a measurable loss of trust and increased willingness to resign among a significant portion of the workforce. Communicating the results — even if they're uncomfortable — is therefore just as important as the survey itself.
How can employee satisfaction be measured without creating a great deal of effort?
For SMEs without a dedicated HR team, a lean start is recommended: a quarterly eNPS with two to three open follow-up questions, supplemented by the systematic evaluation of existing operating data such as absenteeism, overtime and fluctuation. This approach does not require a separate software solution for surveys and no extensive infrastructure. It is crucial that the results are actually evaluated and communicated — this is the step that most companies fail to take.
