How to Measure Productivity After a Shorter Workweek in the UAE

When Zayed University researchers Mouawiya Alawad and Linda Smail asked employees how they experienced a shorter workweek, improved work–life balance and increased weekday stress appeared in the same survey. Among 155 respondents, 73.6% reported improved work–life balance and 36.9% reported increased weekday stress associated with more concentrated work. The findings can coexist. A person may welcome a longer break and still have less room to finish a task on a busy day. A workplace assessing a schedule change needs a way to see both the experience of working under it and what the team delivers. Alawad and Smail’s study in the International Social Science Journal

The UAE federal government’s four-and-a-half-day working week took effect on 1 January 2022, according to the UAE Government portal. That is the policy backdrop. The paper examines how people described the experience, with public-sector and education respondents heavily represented. A UAE employer weighing its own change can use that study to decide what questions to ask employees, then check delivery, hours and quality in the operating records. UAE Government public-sector working-hours guidance

Emirates News Agency’s December 2021 Instagram post records the federal workweek announcement. The historic graphic gives context for the change the researchers examined.

What the researchers measured

Alawad and Smail used an exploratory cross-sectional survey. They recruited people through convenience and snowball sampling, meaning they drew on available contacts and further recruitment through networks. The resulting sample was 71.6% public sector and 78.7% education. The researchers asked about perceived productivity, motivation, stress, satisfaction and work–life balance, and used the WHO-5 instrument for well-being. The study can describe the responses and examine patterns within the sample. It cannot establish how much output changed across UAE workplaces. Study abstract and methods summary

The design makes the wording of any claim important. An employee can say they felt more productive after a schedule change because they had fewer interruptions or were better rested. Another can report that work felt faster because they had to finish it in a shorter window. Those reports tell a manager where to look. A separate record can show how many tasks were completed, whether the work met the same standard and whether hours moved into evenings or another team.

The authors noted that private-sector respondents more often reported productivity gains, but the subgroup had 22 people and the overall model was statistically insignificant. A manager should read this as a small group’s responses and a reason to test locally. Even inside one organisation, a finance team working to a monthly deadline may experience the same roster very differently from staff answering customers throughout the week. Study findings and limitations

Define the work before comparing hours

Start with one activity the team can count consistently and a standard that tells you whether it was done. A support team can use resolved customer cases that remain closed after a defined review period. A warehouse team could use correctly dispatched orders, with corrections tracked separately. An advisory firm might use reviewed deliverables accepted by the client. Choose a measure that reflects the work users receive. If an activity is counted before the necessary review or correction, a team can appear to deliver more while pushing effort downstream.

Decide what goes into the hours. Scheduled hours tell you what the roster expected. Actual hours help explain how much labour produced the result. If another shift absorbs unfinished cases, record its effort too. Keep overtime, time spent resolving errors and necessary coverage in view. Otherwise a shorter schedule can create an apparent improvement by removing hours from the denominator while leaving some of the work outside the count.

Suppose a fictional Dubai service team closes 400 accepted cases in 200 staff hours in a baseline week. It delivers two cases per hour. In a later week it closes 390 accepted cases in 180 staff hours, or about 2.17 per hour. The rate rose about 8.3% while completed cases fell 2.5%. If demand also fell and customers were served promptly, the team may view that result favourably. If demand stayed flat and the queue grew, the team still has a coverage problem. The two figures help distinguish how efficiently time was used from whether the service met demand.

Find where the work moved

The Zayed University study describes a pattern of greater recovery alongside denser weekday demands. A workplace trial can check for that pattern at the level of a handoff. Look at when approvals are requested, when customers send work and which people are available to make a decision. A shorter window may leave a routine step waiting until the next shift. If a single person is the only approver, that wait may show up as poor performance somewhere else even when the team responsible for the task has worked efficiently. Alawad and Smail’s discussion of workload

Consider a fictional UAE service desk that shortens one day while preserving overall customer coverage by staggering shifts. At the end of the first week, the total number of responses looks stable. The next check is who handled the late cases and how many were carried into the next morning. If employees stayed late unofficially to keep the result stable, the schedule worked differently from what the rota shows. If a new routing rule sent more cases to a second team, collect that team’s view and its labour hours before describing the change as a gain.

Ask employees when they had enough uninterrupted time to work and where they felt the day became compressed. Keep those questions consistent across survey rounds. Use open comments to identify a specific difficulty, then check the operational records for its timing. A comment about late approvals can lead the team to compare requests submitted before and after a cutoff. A comment about feeling rushed may lead it to sample a type of work that needs more rechecking. That is how an employee survey can guide a measurement programme without being asked to stand in for it.

Give the comparison a fair starting point

Record the baseline before changing the schedule. Choose a period that captures the normal work cycle. A week may cover ordinary support demand, while a team that closes accounts each month needs to include that deadline. Record unusual demand, absences and system changes as they occur. If the new roster starts at the same time as a new system, the team will need a way to separate their effects before attributing a result to either change.

Where there is a comparable team or service that keeps its existing schedule, use its data as a check on trends affecting both groups. If that comparison is unavailable, compare several similar periods and describe what else changed. A manager can also start with one team and review the results before extending the experiment. In either case, decide which measures will count before the trial begins. A decision made after seeing the results can favour the measure that happened to move most.

Quality needs a threshold too. For a support team, fewer closures might be acceptable if they reflect fewer repeat problems and the backlog stays manageable. For time-sensitive service, a small fall in closures may matter if it clusters around urgent cases. Set the minimum service level and the review point in advance. That lets the team revise staffing or the handoff when a real problem appears instead of waiting for the average to signal it.

Check whether the mix of work changed

A team can close more cases per hour simply because a greater share of its requests are easy. To check that possibility, compare results within categories the team already uses to run the service. For example, separate routine account updates from cases requiring a second team’s approval. Compare the time and quality of each group, then report how much of the week each group represented. That helps a manager see whether the schedule changed how the team handled comparable work or whether a different mix happened to arrive.

Also look at the queue before and after the trial. A team may protect the weekly closure target by finishing many quick cases and deferring a few difficult ones. The average can look steady while the oldest waiting case gets older. Keep the age of open work and a sample of deferred cases in the review. Read that record alongside employee comments about deadlines. A backlog concentrated at a particular handoff can suggest a change to coverage or delegation that a broad productivity target would miss.

Finally, check whether the change persists across more than the first review. Managers and employees may give a new schedule extra attention at the start, and demand can change from week to week. Use repeated observations to decide whether the team has settled into a sustainable pattern.

Separate employee experience from an operating result

Dubai’s Roads and Transport Authority and Dubai Government Human Resources Department published work on flexible hours and remote work in 2024. The release distinguishes surveyed perceptions from a separate estimate about morning peak travel time under flexible-work scenarios. It is a useful comparison in measurement terms. Employees’ views can help explain whether a proposed schedule is workable, while a journey-time estimate describes a transport outcome under stated assumptions. Neither answers how many cases an individual team completed. Dubai Media Office’s account of the RTA and DGHR studies

Dubai has also described a separate workforce productivity measurement system for its government. The published account of the 2025 resolution describes work to develop and validate indicators and coordinate service and performance data. That is another reason to define what a unit of work means before putting an organisation-wide number into a dashboard. Teams can share an approach to reporting while still using outputs suited to the services they deliver. Dubai Protocol’s summary of the workforce productivity resolution

For the employer, the final review can put employee experience beside delivered work, actual hours, service quality and the oldest unresolved items. If recovery improved and output held but pressure clustered around approvals, redesign that handoff before extending the schedule. If the team delivered the same service only by leaning on extra hours, first account for that time. Alawad and Smail’s study makes a useful question visible. Ask which parts of the week became easier, which became more demanding, and what the workplace records show about the difference.