How Belfast businesses can use data to predict employee turnover in 2026

The Office of National Statistics report that the number of employees on payroll has fallen by 110,000 since November 2024.

Along with a drop in productivity, high employee turnover leads to increased hiring costs and a loss of expertise. Onboarding new staff takes time, and this delay means that workplace disruption can last a long time.

Tools for keeping employees for longer have traditionally focused on reacting to issues as they arise and relying on managers' intuition to understand why the turnover is happening.

These remain a valuable insight, but they are often retrospective, and when the signs start to appear in another employee, the decision to leave may have already been made.

As technology improves, data is becoming more structured and accessible for management teams. With this new data, it is possible for businesses to become more aware of what is leading to staff turnover.

Although employee turnover can feel abrupt or unclear, there can be an explanation that was missed. Without visible conflict, staff can feel the drag of disengagement, or feel their personal expectations are not being met, or that their own priorities have shifted over time.

Identifying the underlying issues relies on visibility. Early warning signs can be seen in many different ways. They can be small, like reduced participation in optional company activities, or bigger, like increased absences. Each factor can seem minor in isolation, but over a period, it can point to disengagement.

In many organisations, this kind of information already exists, but is kept in fragmented systems or remains unobserved and unchecked. Even if managers sense a change in an employee, they lack the structured insight to identify the issue.

This is where the correct utilisation of workforce data can become more than just administrative record-keeping. Identifying risks early helps a business fix issues before they become departures.

Workflow Trends

Employees who are considering leaving don’t always announce their intention outright.

Instead, subtle behaviour shifts start to show, and some employees can even begin to quiet quit. Although their output may remain acceptable, response times can slow, willingness to collaborate decreases, and deadlines are met without the same consistency and initiative they may have once shown.

Data can help a management team keep track of dips that might point towards a bigger problem. It can help track task completion speed, internal communication patterns changes and can help highlight a noticeable shift in involvement.

A short-term dip can happen for many reasons, but a consistent pattern spotted early can give managers the chance for early, supportive intervention. Allowing managers to create a dialogue without suspicion and at the same time encouraging open communication, helping them address issues before they escalate into turnover.

Development and Career Progression Signals

Another big factor for employees thinking of leaving is that they feel like they have stalled.

In 2024, ADP’s People at Work reported that 26% of employees cited a lack of career progression as a key cause of job dissatisfaction.

Employees who feel that their career progression is slow and inconsistent can experience their motivation eroding. Although they may seem productive, their overall engagement can drop, and over time, this can shift into actively looking for another job.

Employees don’t need constant mobility and promotions, but they do need clarity in their role. Workplace data can help identify areas needed for feedback, how they are progressing towards their targets, and help managers understand an employee's journey with the company. This allows them to connect with the employee and demonstrate their growth within the company.

Using development data to support your employees' careers helps them remain active and visible, and helps demonstrate that their future exists within the organisation.

Pay and Reward Comparisons

For UK employees, compensation is still one of the biggest drivers of turnover. This can drive turnover gradually, particularly when employees compare with those around them. In 2026, the Minimum and Living Wages will increase; alongside this, income tax brackets will remain frozen. Businesses face pressure to ensure fairness in pay across wage brackets.

Using Data points to highlight pay compression can ensure that businesses are aware of and ready to help those who will be affected. Also, using external benchmarking data can assist businesses in ensuring they are staying competitive and prevent their employees from looking elsewhere.

Staying on top of market trends and ensuring it’s clear who is earning what helps a business stay proactive, instead of reacting to market changes.

Going into 2026, employers are trying to predict employee turnover, but rather than forecast the future, it’s more useful to recognise the signals that are already there.

Using workplace data allows a business to identify these signals earlier. By intervening thoughtfully and supporting employees through those times, disengagement can be prevented from turning into departure.

In an increasingly competitive labour market, correctly harnessing data is one of the most effective ways of keeping turnover low.