The gap between what companies think employees want from hybrid work and what employees actually want is not a small misunderstanding. It is a systematic pattern that shows up across survey after survey, and it shapes whether a policy feels generous or out of touch.
The most consistent finding is also the simplest: most employees do not want to work from home all the time, and they do not want to be in the office all the time either. They want a mix, and they want some say in how that mix is arranged. The companies that get hybrid wrong usually get it wrong by assuming the opposite—that employees are either trying to avoid the office entirely or need to be compelled to return.
The Preference Most Workers Share
The headline number is remarkably stable. In a global survey by Adecco, 75% of workers said they want a hybrid model that splits work between the office and home, with the optimal arrangement being a near-even split . A separate study of professionals in the U.S. and U.K. found that employees spend about 30% of their week working remotely but would prefer a ratio closer to 40% . They are not asking for the elimination of the office. They are asking for a slightly larger share of remote time than they currently have.
The preference for hybrid over fully remote is shared by employers too. A large discrete choice experiment with more than 10,000 workers and 1,500 employers in Poland found a shared preference for hybrid arrangements over fully remote work . The disagreement is not about whether hybrid is good. It is about what hybrid is worth.
Where the Assumptions Break Down
The perception gap shows up most clearly in how each side values remote work. The same Polish study found that workers would sacrifice about 2.9% of their earnings for the option of remote work, with the highest willingness for hybrid arrangements of two to three days a week (5.1%). Fully remote work was valued at only 0.6% .
Employers, on average, expected a wage cut of 21.0% from candidates who wanted to work remotely. That is an 18-percentage-point gap between what workers would give up and what employers think remote work should cost them. The gap reflects employers’ assessments of productivity loss (14 points) and the additional effort required to manage remote workers (4 points) .
The implication is stark. Many companies are pricing remote work as if it were a significant concession that employees should pay for, while employees experience it as a modest benefit that improves their working lives. Only 25% to 35% of employers—those with positive views on remote productivity and strong talent management—value remote work costs in line with what workers value the benefits . The rest are negotiating from an assumption that does not match the evidence.
The “Supervisor Optimism Bias”
There is another gap that runs in the opposite direction. A study of 1,003 employees and 252 managers across 46 countries found that managers are nearly twice as likely as employees to rate hybrid work as most efficient. Managers also consistently evaluate remote-work resources more favorably than employees do .
The researchers called this a “supervisor-optimism bias.” Managers believe the hybrid arrangement is working better than the people living it every day believe it is. This matters because it means a company can look at its hybrid policy, see high manager satisfaction, and conclude that the policy is fine—while the employees who actually use it are running into resource shortages, coordination problems, or scheduling friction that the managers never experience in the same way.
The same study identified a hybrid “sweet spot” of six to ten office days per month, where employees report significantly higher perceived efficiency and marginally lower office-related stress . That is roughly one to two days a week in the office. It sits close to what employees say they want, and it is a useful benchmark for companies trying to set a default.
What Employees Are Actually Choosing Between
The assumption that employees have a single preference—”more remote” or “more office”—collapses under scrutiny. Research on knowledge workers in a large Dutch governmental organization identified four distinct segments: home workers, hybrid fixed, hybrid flex, and office workers. The segments differed based on age, tenure, task interdependence, and whether they had young children at home .
A separate study of Swedish software developers found that gender differences in office attendance were minimal. What mattered was the nature of the work, the interdependence within teams, and the commuting burden. The researchers recommended designing policies around tasks, not demographics, and giving teams autonomy to decide when co-location adds the most value .
The employees who want the office are not necessarily the ones companies assume. Younger employees and those with shorter tenure often prefer more office time because they are still building networks and learning the organization’s norms. Older employees and those with deep work to do often value remote time more because it protects them from the coordination demands that fill their office hours . A policy that treats “employees” as a homogeneous group will satisfy some and frustrate others.
The Cost of Getting It Wrong
Return-to-office mandates that ignore these preferences carry a measurable cost. Research cited by a U.K. parliamentary submission found that sudden mandates generate attrition, a drop in job satisfaction, and a decline in work-life balance. They are more likely in poorly performing firms and have no positive impact on performance. The analysis describes these mandates as breaking a tacit social contract: applicants increasingly choose a firm because it fits their flexibility expectations, and when it no longer does, they disengage .
The same submission notes that 45% of workers aged 18 to 34 say they would not accept a job that did not offer flexibility around where they work. A third of workers aged 55 to 67 say the same. Across generations and geographies, flexibility is mentioned as a crucial factor in 80% or more of cases .
The employees who leave after a mandate are often the ones with the most options. The company keeps the people who could not easily find another job, and loses the ones who could. That is not a recipe for improved performance.
What a Better Policy Looks Like
The evidence points toward a few principles that outperform both rigid mandates and vague “flexibility.”
Set a range, not a rule. The sweet spot of six to ten office days per month gives teams a target without dictating a specific schedule . Employees can cluster their office days around the meetings and collaboration that benefit from being in person, and protect their remote days for focused work.
Let teams decide when co-location matters. A company-wide mandate assumes that every team’s work has the same rhythm. It does not. A software team coordinating a release needs different in-person time than a writing team working on independent projects. Team-level autonomy lets the people closest to the work make the call .
Ask, and then actually listen. The perception gap between managers and employees is wide enough that a company relying on manager intuition will miss what employees are experiencing. A short, regular survey that asks employees whether their current arrangement matches their ideal, and what friction they are hitting, surfaces problems before they become resignations.
Be transparent about the trade-offs. If a role requires more office time because of the nature of the work, say so in the hiring process. Candidates who value flexibility will self-select out, and the ones who accept the role will know what they are getting. The worst outcome is a policy that changes after someone has already rearranged their life around it.
The hybrid debate is often framed as a conflict between what companies need and what employees want. The research suggests the conflict is smaller than it appears. Most employees want a mix. Most employers prefer hybrid over fully remote. The disagreement is about the details: how many days, who decides, and what remote work is worth. Those are the questions worth arguing over, and they are answerable with data rather than assumptions.

