Data-Driven Wellbeing Without Losing the Human Touch

Many HR leaders and managers measure, analyse, and report on workplace wellbeing, health, and employee engagement. With AI, the possibilities will only grow in the coming years – more data, deeper insights, and stronger support in identifying patterns and potential pitfalls. But how do we ensure the focus stays on people, not just numbers on a dashboard?
datadrvet og dialog

Across many organisations, employee engagement and wellbeing have become strategic and measurable priorities – and with good reason. Data makes it possible to understand the organisation more deeply and act where support is truly needed. When wellbeing and engagement increase, the impact is clear for both the individual and the business.

Yet in the midst of this growing data-driven approach, there is a real concern: the risk of forgetting that HR data represents people – people for whom trust, relationships, and purpose matter. That is why data-driven wellbeing must serve as a support system that keeps humans at the centre, not a substitute for genuine connection.

The real work before and after the data is human
“Data without dialogue is like a thermometer without a doctor: it can show the temperature, but it cannot diagnose anything on its own,” says Louise Kaae, Customer Success Specialist at GAIS, where she helps organisations design effective wellbeing processes through a data-driven approach.

She emphasises that wellbeing data has tremendous power because of its anonymity and ability to reveal patterns across the organisation. But it is equally important not to underestimate the work that happens both before and after the survey, and that part is driven by people, not systems.

She emphasises that wellbeing data has tremendous power because of its anonymity and ability to reveal patterns across the organisation. But it is equally important not to underestimate the work that happens both before and after the survey, and that part is driven by people, not systems, Louise Kaae mentions.

What we want to avoid

Data overload: When HR or leaders drown in data, it becomes difficult to take meaningful action. Everything gets measured, but little improves. This can also erode employee trust if feedback is collected but never acted upon.

Surveillance instead of support: If measurement crosses too far into personal territory, it can feel like control rather than care. This happens when organisations present raw data – such as correlations between break time, email activity, sick leave, wellbeing, and performance – without having built trust or a clear purpose for how the data will be used.

Lack of human interpretation:  Data often tells what is happening, but rarely explains why. Conversations and context are therefore essential to prevent misunderstandings, incorrect conclusions, or quick fixes. Input from employees, HR, and leaders is crucial to ensure nuanced understanding.

Unclear ethics and transparency: If it is not clear what data is collected and how it will be used, trust erodes quickly – especially when AI or algorithms are used to draw conclusions.

Data-Driven Wellbeing With People at the Centre
A wellbeing report should not sit in a drawer. It should be shared and used as a conversation starter and a common language. 

Recommendations: 

  • Open up dialogue around what the data shows in team meetings or 1:1 conversations. Ensure there is a clear purpose and sufficient trust. Consider involving HR or a neutral facilitator.
  • Define key wellbeing and engagement indicators, but assign clear owners responsible for turning insights into action (managers or HR).
  • Choose systems that offer insights, not conclusions. Use engagement or HR analytics tools that support interpretation without replacing human judgment.
  • Involve people from the start. Communicate purpose, data usage and collection, and the process ahead. Create a clear plan covering roles, responsibilities, and communication. Invite employee input and co-ownership throughout the wellbeing process.
  • Train leaders in data-informed conversations and human-centered leadership. Leaders must interpret indicators, talk with employees, and drive meaningful follow-up—not just read charts.

Tools

Let the conversation flow

Use the GAIS Dialogue Wheel or GAIS Focus Cards to talk about the main themes or results from an engagement survey. These tools work well both in teams and in 1:1 conversations, and they help create structure around complex or “fluffy” topics.

GAIS Focus Cards: are available in both the personal and company reports after conducting surveys. 

GAIS Dialogue Wheel: can be downloaded here.

HR insights

“Conversations with employees and leaders are irreplaceable. Data creates a strong foundation, gives us insight, and helps us spot trends and areas of focus. But data is just one tool in our toolbox – never a substitute for meaningful dialogue.”

Louise Bonde, Head of HR, Bucherer
 

“Data helps us identify patterns – not people. The GAIS engagement surveys give us a shared language, but it is the follow-up dialogue that truly makes the difference. We listen to comments, reflect on the numbers, and act based on conversations.”

Sebastian Kastrup, HR Director, Amero

“We measure employee wellbeing regularly, but we see data as a starting point – not an answer. The real value comes from exploring the results together through dialogue. The surveys highlight the right themes and support the conversations that ensure people stay at the centre.” 

Stina Bonde, SVP, HR, ESG & Kommunikation, OK

“Data is an invaluable tool when working strategically with wellbeing, but it must never stand alone. At Zenegy, we use HR data as a compass – not a rulebook. The numbers help us spot patterns, but it is the human conversations that drive change. We believe strong wellbeing emerges where technology supports human presence.” 

Mads Lyngby Olsen, CHRO, Zenegy

 
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