Most organizations only examine their culture after the talent has already left. Or after a high sick leave rate has become a fact. The organization increasingly feels the pain of vacancies that stay open for months on average. And the growing workload on the shoulders of the remaining team members. Meanwhile, absence costs are skyrocketing. And to be honest, at that point you're late for a culture study. It's like calling the fire department while the flames are already shooting out.
In this blog I'll show you how culture research can contribute preventively to lowering absence and turnover.
The agencies that conduct culture research are generally competent. They map fear-based cultures, analyze the discrepancy between desired and actual values. And deliver reports that clearly diagnose organizational problems. Berenschot looks at visible behavior as an expression of underlying culture patterns. Bureau Integriteit examines whether values, rules and conditions in the workplace are aligned. The Rijksorganisatie ODI guides teams through change and development.
What these approaches have in common: they address what has already gone wrong. They measure the state of a culture at the moment of the study, and that moment is rarely chosen preventively. Organizations bring in culture research after complaints have come in, after turnover in a particular department rises noticeably, or after a manager reports that the team "isn't running smoothly." So the study already starts in a reactive phase.
The fundamental problem isn't the quality of those studies. It's their timing and granularity (read: depth at the individual level). A culture diagnosis says something about the organization as a whole, about departments, about patterns. But it doesn't predict which specific employee will be off work with stress-related symptoms in six weeks. And it doesn't flag which three senior employees on a manager's team open LinkedIn every morning before they read their email. Collective diagnoses are valuable for organizational development, but they're blind to individual risk.
And I can't say it often enough: it's precisely the individual risks where the costs lie. It's people's business.
Sick leave costs Dutch employers an average of 410 euros per absence day per employee, according to calculations by the Dutch Association of Insurers based on wage costs, replacement and production loss. For a team of twenty employees with an average absence rate of 5 percent, this quickly adds up to amounts that recur on the balance sheet every year, without the cause being structurally addressed.
Turnover is the most expensive problem. Replacing an employee quickly costs a year's salary or more, depending on job level and sector, when you factor in recruitment, selection, onboarding and productivity loss during the ramp-up period. For a specialist or senior employee, those costs are higher. And for every employee who leaves, a period of knowledge drain follows that's rarely made visible in an annual report, but that slows down departments for months.
The treacherous thing about reactive culture policy is that the costs don't suddenly appear. They seep in. An employee who becomes overwhelmed by workload but keeps working because they're loyal. Another who no longer delivers their best work because they don't feel heard, but never crosses the threshold to their manager. Yet another who quietly activates their network and is gone in four months. None of these employees appear as a "risk" on HR's or leadership's radar. None of them leaves an early signal that traditional culture research picks up.
Late intervention isn't just too late to prevent damage. It's also more expensive. Whoever only intervenes once someone has already been off work for three weeks or has already found a new job pays the full price. Whoever signals earlier can still adjust course. That's exactly the difference between measuring and predicting. You can read about the biggest reasons employees leave, and how managers play a role in it, in my blog 'why employees leave and how managers play a role in it'.
In conversations with business owners, it quickly becomes clear to me that everyone has a different picture of culture. Culture is a catch-all term. Everyone knows what it is, no one knows exactly where it begins or ends. That makes it difficult to work with in a preventive context. But the science around work happiness and organizational psychology offers a solution: there are five factors that keep coming up, time and again, as predictors of both sick leave and voluntary turnover.
Not the objective amount of work, but the perceived balance between what's asked and what an employee can handle. Chronically excessive workload demonstrably leads to exhaustion, increased absence risk and the desire to move to an employer that takes it slower.
Employees who feel they have no influence at all on how they organize their work lose motivation faster than employees who experience limited but real freedom. Micromanagement is one of the most reliable predictors of turnover.
This isn't about bonuses or salary rounds. It's about the daily, concrete recognition that someone's contribution is seen and valued. Its absence correlates strongly with emotional exhaustion and reduced commitment to organizational goals.
Employees who feel they're standing still eventually start looking around. Not necessarily at another employer, but their focus shifts from contributing to counting down. That's the beginning of a quiet decline in performance that becomes visible months later.
The degree to which employees dare to say what they think, dare to admit mistakes and dare to name conflicts largely determines how quickly problems become visible. Low safety means signals stay hidden until they explode.
From experience I know that each of these five factors is measurable. Not as an abstract team perception, but at the level of the individual employee. And that's where the difference lies between a culture diagnosis that describes something and one that predicts something.
I believe preventive culture research should start with a different question. Not "how is our culture doing as a whole?", but "which employees are already at risk right now, and why?"
That requires a measurement tool that works at the individual level, measures frequently enough to see trends, and is specific enough to distinguish the five predictive factors. An annual satisfaction or culture survey doesn't achieve this. It measures an average mood at a snapshot in time and averages away individual risks into team scores.
At JobAligner, I've developed a Culture Scan that measures, per employee, how the five culture factors are experienced. These factors are translated into an absence and turnover risk that shows managers and HR where the vulnerable spots in a team are. Not as an accusation, but as a navigation aid to prevent absence and turnover before they become visible in the numbers.
In practice, early signals rarely look spectacular. They're subtle shifts that a manager often misses. Not because they're inattentive, but because employees rarely proactively name these feelings:
These are exactly the signals that a preventive measurement tool like JobAligner's Culture Scan picks up at a moment when something can still be done about them.
I often hear HR managers object to individual culture measurements. This has to do with fear of privacy infringement or distrust in the workplace. I always take this point seriously, but 9 out of 10 times it's not a real problem — it's mostly a preconception. I continue to be surprised how often I hear this response. I consider psychosocial safety a minimum requirement for every organization. And especially in HR's case, this should, in my view, be a top priority.
The alternative to individual insights is collective blindness. You then know that 34 percent of your employees feel insufficiently appreciated, but you don't know who they are or in what context this plays out. That information leads to generic interventions: a team-building day, a communication training, a new intranet message about appreciation. Interventions that don't change the sense of being heard among employees who are genuinely at risk.
Individual insights, correctly applied, work differently. They give a manager the tools to have a specific and personal conversation. Not as a confrontation, but as engagement. "I see that you've been experiencing more workload lately. What's going on?" is a very different conversation than the biannual performance review cycle where everything is formally recorded.
That conversation at the right moment is precisely what breaks the chain from signal to escalation. An employee who feels their manager is aware and acting on it is significantly less inclined to bottle up their frustration internally or look for a solution externally.
That requires trust, and you don't build that trust with a regular measurement. You build it with a way of working in which employees know what their data is used for, experience that something is done with it, and see that managers use it as a tool rather than a control mechanism. Organizations that set this up well report that employees experience the measurements as support, not surveillance.
The most common mistake isn't that leadership teams consider culture unimportant. They do consider it important. The mistake is that they treat it as a project rather than a process.
A culture study is commissioned. An agency is brought in. Results come back in a report. A presentation to the management team follows. Recommendations are made. A plan is drawn up. And then? The agenda moves on and the urgency of other issues takes over.
Culture doesn't change after one measurement and one presentation. It changes through attention that doesn't disappear once the report is finished. That requires a smart measurement strategy that produces signals managers can actually use. And a way of working where the outcomes don't end up in a SharePoint folder but carry through into daily decisions.
Employee satisfaction tells you something about how employees feel at a given moment. Culture research tells you something about the structural patterns that cause that feeling. Both are useful, but different. A high satisfaction score sometimes masks precisely the patterns that lead to turnover and absence in the longer term, simply because employees have internalized the norm of their environment and no longer know what could be different.
Preventive culture research doesn't just ask how things are going. It asks about the underlying factors that determine how things will be going six months from now.
Preventive culture research is culture research deployed before visible problems arise. Instead of reacting to complaints or rising absence, it measures the five culture factors — workload, autonomy, appreciation, development and psychological safety — at the individual employee level. This makes absence and turnover risks visible before they escalate.
An employee satisfaction survey (ESS) measures how employees feel at a given moment. A culture study measures the structural patterns that cause that feeling: how is the collaboration, how are decisions made, to what extent is there psychological safety? Both are useful, but only culture research gives insight into the underlying causes of absence and turnover.
Effective preventive work happiness measurement combines two tools: the Culture Scan for an in-depth measurement of the five culture factors per employee. And the Work Happiness App for frequent pulse measurements that make trends per team and manager visible. Together they provide an early warning system for absence and turnover.
The four most reliable early signals are: declining perceived autonomy, decreasing sense of appreciation, rising workload without recovery time, and reduced outlook on development. Whoever monitors these factors at team level sees absence risks on average three to six months earlier — plenty of time to adjust course.
Every organization has employees who are doubting right now. They're not visible and make no noise. They do their work, come to meetings, and say in the hallways that things are fine. But internally, a process is underway that, without intervention, ends in a sick note or a resignation letter.
That process isn't unstoppable. It has a starting point and it has a tipping point. Whoever measures early enough and distinguishes the right factors can intervene before that tipping point is reached. That's not a soft HR ambition — that's preventing costs that would otherwise be guaranteed to occur.
Want to know where in your organization that tipping point is already announcing itself? I'm happy to explain. Schedule a no-obligation conversation and discover which factors are most decisive for you.
