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Full WFH Flexibility, Sick Leave and Satisfaction | Ennova
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How much does work-from-home flexibility actually matter?

In Ennova’s Panel Survey 2025, employees with full or near-full WFH flexibility have an average Satisfaction & Motivation score of 74, compared with 64 among employees with no flexibility. They also report less sick leave: 47% report some sick leave during the past 12 months, compared with 69% among employees with no flexibility.

At first glance, those numbers look like a strong case for greater flexibility.

Look closer, and the story becomes more nuanced. For sick leave, the only statistically significant difference is between employees with full or near-full flexibility and those with none. For satisfaction and motivation, the differences are no longer statistically significant once additional workplace-experience drivers are included.

Two outcomes. Two different stories.

One important distinction: we are looking at employees’ flexibility to work from home, not how often they actually choose to do so.

For HR, the practical takeaway is simple: treat flexibility as a signal to investigate, not as a ready-made policy answer.





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More Than One in Two Employees Cannot Work From Home

First, one number matters: 53% of respondents have jobs that cannot be performed from home.

Graph showing work from home flexibility

48 respondents answered "Do not know" to whether their job can be performed from home, and 47 answered "Do not know" to how often they are allowed to work from home.

 

More than one in two.

Hybrid-work debates can easily become office-worker debates. For many employees, the question is not whether to work from home two or three days a week. The job simply cannot be done from home.

This analysis focuses on employees whose jobs can be performed from home and asks what we see when the level of flexibility differs. 

 

Satisfaction Rises With Flexibility, but Flexibility Doesn't Explain the Difference

The descriptive results form an almost perfect staircase.

Employees with no WFH flexibility have an average satisfaction and motivation score of 64. For employees allowed to work from home 1–2 days per week, it is 69. At 3–4 days, it reaches 71. Among employees allowed to work from home all or nearly all days, it reaches 74.

 

Graph showing satisfaction and motvation across work from home flexiblity

Satisfaction & Motivation Across WFH Flexibility. N = 1,304. Includes only respondents whose jobs can be performed from home, with a Satisfaction & Motivation score, and excludes respondents who answered “Do not know” to “How often are you allowed to work from home?”

 

64 → 69 → 71 → 74.

That is a 10-point difference between employees with no WFH flexibility and those with full or near-full flexibility.

At first glance, the conclusion seems obvious: more flexibility, higher satisfaction and motivation.

The statistical analysis adds an important layer. When we account for demographic and workplace characteristics, employees with WFH flexibility still report significantly higher satisfaction and motivation than employees with no flexibility. However, once additional workplace-experience drivers are included, those differences are no longer statistically significant.

That changes the interpretation.

The data does not support saying that WFH flexibility, by itself, increases satisfaction and motivation. Instead, WFH flexibility appears to be part of a broader employee-experience picture rather than a standalone explanation.

This finding fits with something we have seen elsewhere in our research. In an analysis of almost 43,000 employees, physical proximity itself did not systematically explain employee engagement. Employees sitting together were not automatically more engaged, and employees sitting close to their manager did not consistently score higher.

This finding points in the same direction: where people work is only one part of the employee experience, and it should not be treated as a standalone explanation for engagement.

 

The Sick Leave Result Tells a Different Story

The sick-leave numbers become easier to grasp if we translate them into people.

Imagine 100 employees whose jobs can be performed from home but who have no WFH flexibility. 69 out of those 100 report some sick leave during the past 12 months.

Now imagine 100 employees with full or near-full WFH flexibility. Here, 47 out of 100 report some sick leave during the same period. 69 versus 47.

 

Graph showing sick leave across work from home flexibility.

N = 1,297. Includes only respondents whose jobs can be performed from home and excludes those who answered “Do not know” to “How often are you allowed to work from home?” and those who answered “Prefer not to answer” to “Have you had any sickness absence within the past 12 months?”

 

That is a difference of 22 employees in every 100.

 

The Significant Difference Appears at Full or Near-Full Flexibility

After controlling for demographic and workplace characteristics, only employees with full or near-full WFH flexibility report significantly lower sick leave than employees with no WFH flexibility.

The intermediate groups show lower sick leave descriptively, but the analysis does not establish that they are statistically different from the no-flexibility group.

So the data does not support a simple rule that more flexibility means less sick leave.

There is another useful detail. The share reporting extended sick leave is relatively stable across the four groups: 21%, 22%, 21% and 16%. The larger movement appears in shorter absence: 48% of employees with no WFH flexibility report less than one week of sick leave, compared with 31% among employees with full or near-full flexibility.

This is why we should be careful with words such as “healthier.” We are measuring reported sick leave, not health itself.

A separate question shows another, smaller difference. Among respondents to the separate question about working while ill (N = 1,279), 64% of employees with full or near-full flexibility report having worked while ill, compared with 59% of employees with no flexibility. That may say more about how people manage short bouts of illness than about how healthy they actually are.

One possible explanation is that some employees use WFH flexibility on days when they might otherwise report sick leave. Further analysis would be needed to determine whether this is indeed the case.

 

What the Two Findings Tell Us Together

For satisfaction and motivation, the descriptive difference is substantial: 64 versus 74. Yet that relationship is no longer statistically significant once additional workplace-experience drivers are included.

For sick leave, employees with full or near-full WFH flexibility still report significantly lower sick leave than employees with no flexibility after controlling for demographic and workplace characteristics. The lower-flexibility groups do not show statistically significant differences from the no-flexibility group.

So different employee outcomes tell different stories. That should make us cautious about reducing hybrid work to a single question about the ideal number of office days.

 

vector-illustration-8-steps-to-succesful-ex

Flexibility Isn't the Full Answer. What Is?

The data points to something bigger than a WFH policy. 8 Steps to Successful EX gives HR a practical roadmap for turning findings like this into action.

 

 

Stop Looking for One Perfect Number of Office Days

Hybrid-work discussions have a habit of gravitating towards a number. Two days. Three days. Four.

We have previously argued that one-size-fits-all return-to-office policies overlook very different hybrid realities. We have also found that physical proximity itself does not reliably explain engagement.

This analysis adds another piece: WFH flexibility is associated with meaningful differences in employee outcomes, but it does not operate independently of everything else employees experience at work.

So instead of starting with: “How many days should employees be in the office?”

Start with: “What actually happens to different groups of employees under different working conditions?”

 

How To Turn These Findings Into Action

 

Separate Different Working Realities

Employees who cannot work from home should not disappear inside the same hybrid-work discussion as employees who can. Even among WFH-capable employees, looking at different flexibility groups separately gives HR a more useful picture than one company-wide average.

 

Look Beyond Flexibility Itself

If satisfaction or motivation differs between groups, do not immediately assume the WFH policy explains it. Our results show why: the initial differences vanish once wider workplace-experience drivers are included.

Ask instead: What else differs between these employee groups?

 

Treat Sick Leave as a Signal to Investigate

If your own data shows a similar sick-leave pattern, explore it. Is the difference mainly in shorter absence? Does it vary by role, team or manager? Does the relationship remain once other differences between the groups are taken into account?

The finding gives you a reason to investigate.

WFH flexibility tells you what employees are allowed to do. It does not tell you how they actually work or what else shapes their experience.

That’s a pattern worth remembering: this data shows you the outcome, not the reason behind it. The sick-leave signal tells you where to look. Finding out why still takes closer investigation.

 

About the Analysis

The findings are based on Ennova’s Panel Survey 2025.

The satisfaction and motivation findings were tested using linear regression. Differences remained statistically significant after controlling for demographic and workplace characteristics but were no longer statistically significant when additional workplace-experience drivers were included.

The sick-leave findings were tested using ordinal regression controlling for gender, age, education level, employment type, company size, Nordic country, industry, managerial responsibility and minority background. Only employees with full or near-full WFH flexibility reported statistically significantly lower sick leave compared with employees with no WFH flexibility. The separate descriptive finding on working while ill is based on N = 1,279 because some respondents selected “Prefer not to answer” for that item.

The analysis identifies associations. It does not establish causality.

 

 

Engagement survey
See What Sits Behind the Difference
 
Flexibility alone doesn't explain the gap. A full Employee Engagement Survey helps identify the workplace factors most closely connected to satisfaction, motivation and engagement.
 

 

FAQ

Does Working From Home Reduce Sick Leave?

This analysis measures employees' access to WFH flexibility, not how often they actually work from home. So we cannot conclude that working from home itself reduces sick leave. What we do see is that employees with full or near-full flexibility report significantly lower sick leave than employees with no flexibility, even after accounting for individual and organizational differences. The data does not establish what causes that difference. One possible explanation is that employees with greater flexibility work from home on days when they might otherwise have called in sick. The current data cannot test this hypothesis, so it remains a possible explanation rather than an established finding.

Does More WFH Flexibility Increase Satisfaction and Motivation?

Employees with greater WFH flexibility report higher satisfaction and motivation descriptively, with average scores rising from 64 among employees with no flexibility to 74 among those with full or near-full flexibility. However, the differences are no longer statistically significant when additional workplace-experience drivers are included in the model. This suggests that flexibility is part of a wider employee experience rather than a standalone explanation.

Is There an Ideal Number of Work-From-Home Days?

This analysis does not identify one ideal number of WFH days because it measures WFH flexibility, not how often employees actually work from home. What the data shows is that the satisfaction and motivation differences are no longer statistically significant once additional workplace-experience drivers are included, while the sick-leave analysis only finds a statistically significant difference between employees with full or near-full flexibility and employees with no flexibility. The data therefore does not support prescribing a specific number of WFH days.

 

Does This Research Apply to All Employees?

No. In Ennova’s Panel Survey 2025, 53% of respondents have jobs that cannot be performed from home. The analysis of WFH flexibility therefore focuses on employees whose jobs can actually be performed from remotely.

Does WFH Flexibility Make Employees Healthier?

The analysis does not measure health itself. It measures reported sick leave. Employees with full or near-full WFH flexibility report lower sick leave than employees with no flexibility, but the data cannot tell us whether they are healthier or explain the mechanism behind the difference.

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Eliane Choquette
Eliane Choquette is a Senior Insights Manager in Ennova’s Research & Insights team, specializing in quantitative research and people analytics. She holds a PhD in Management from Aarhus University and combines advanced analytical expertise with a clear focus on turning complex people data into insights that support evidence-based organizational decisions.
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Morten Lindholm Uth
Morten Lindholm Uth is Head of Research & Insights at Ennova. He leads the team behind turning complex people data into clear direction. With 15 years of experience, he helps organizations uncover what drives employee experience and translate insight into action.