Vassia Manika | Corporate Wellbeing Innovator
The most common question I hear from management when discussing Workplace Wellbeing is entirely reasonable: “How will we know whether this is working?” The answer cannot be found in a single number, nor solely in the number of people who participate in a workshop.
Measurement is valuable when it helps an organization make better decisions: what it needs to continue, what it should adjust, and where it should invest more. If measurement is carried out simply to prove retrospectively that an initiative was successful, it loses much of its usefulness.
Before selecting indicators, the problem the strategy is intended to address needs to be clearly defined. An organization facing high turnover will need different indicators from an industrial company dealing with fatigue and demanding shifts, and different ones again from a knowledge-based team experiencing disengagement or a lack of role clarity.
The next step is establishing a baseline: a reliable picture of the starting point. Without it, a company may record a change but struggle to determine whether it represents an improvement, a seasonal fluctuation, or the result of another organizational change.
A balanced evaluation needs to combine different levels of data. None of them is sufficient on its own.
The NIOSH Worker Well-Being Questionnaire is an example of a holistic approach. It examines five domains: work evaluation and experience; workplace policies and culture; workplace physical environment and safety climate; health status; and home, community, and society. It is not necessary for every organization to use this specific tool, but its structure serves as a reminder that wellbeing cannot be captured by a single question.
Wellbeing data requires strict ethical management. Employees need to know what data is being collected, why it is being collected, who will have access to it, and how it will be used. Wherever possible, results should be analyzed in aggregate, and variables that could lead to the identification of small groups should be avoided.
NIOSH itself emphasizes the protection of anonymity when using the WellBQ. At the same time, ISO 45003:2021 places the management of psychosocial risks within a system of continuous improvement, involving employee participation rather than monitoring their personal health.
VASSIA’S PERSPECTIVE
“We do not measure people. We measure whether the organization is creating better conditions that enable people to function.”
– Vassia Manika
A good dashboard does not try to include everything. It selects a small number of indicators linked to the objective, monitors them consistently, and complements them with qualitative feedback. An increase in participation, for example, shows that more people used a service. On its own, it does not prove that wellbeing has improved.
Similarly, a change in absenteeism or turnover should not automatically be attributed to a program. Seasonality, staffing changes, labor market conditions, and other business decisions may affect the same indicators. Responsible evaluation combines data, context, and time.
The practical sequence is simple: define the objective, establish a baseline, implement, listen, reassess, and adapt. In this way, measurement does not serve as a final verdict but as a mechanism for learning.
At ErgoProlipsis, measurement is integrated into program design from the very beginning, using indicators that are appropriate to the organization, its teams, and the actual objective of the intervention.
If you would like us to design an evaluation framework that delivers business value while respecting people, contact us.
Selected Sources
Vassia Manika is a Corporate Wellbeing Innovator, Clinical Dietitian-Nutritionist, Adult Educator, and Executive & Health Coach. With more than 20 years of experience working with people, teams, and organizations, she designs evidence-informed interventions that connect wellbeing with leadership, culture, and sustainable performance.
© Vassia Manika / ErgoProlipsis, 2026. Republishing is permitted only with clear attribution to the author and the original source, and with an active link.