A Data-driven Dashboard Framework for Employee Mental Health and Organisational Decision-making
Daniel Kweku Assumang, Elizabeth Umah, Martin Msughter Vincent, Bolatito I. Abolade, Bukola Elizabeth Shasere
Journal of Scientific Research and Reports · pp. 979–1000 · Published 21 Jul 2025
10.9734/jsrr/2025/v31i73315Abstract
Due to rising mental health issues in the workplace, organisations need to take preemptive, data-driven measures to foster employee well-being. In this review article, a complete, data-driven framework for constructing Mental Health Index Dashboards specific to organisational environments is introduced. This paper utilised a desk review approach. This involves a comprehensive review of scholarly journals. Credible journals and reliable online materials were used, and findings were presented thematically. Through the integration of quantitative and qualitative data sources such as employee surveys, productivity metrics, absenteeism records, and sentiment analysis, the proposed framework is able to produce real-time and actionable insights. Findings show that using visualization of data and machine learning, the dashboard allows human resource professionals and decision-makers to track changes in mental health over time, identify high-risk groups, and assess changes in the effectiveness of interventions over time. The review further presents the study of ethical data handling, employee privacy, and transparency of the organisation, and presents best practices for such implementation. Case studies and deployment of prototype dashboards show how such dashboards can create a healthier workplace, reallocate resources, and find long-term mental health strategies. Essentially, the dashboard framework creates an enabling atmosphere in which mental health is emphasised and discussed. At the same time, it enhances the productivity of employees, as possible cases of stress are identified at an early stage, each employee is given personalised assistance, and resources are distributed based on data. The framework triggers greater engagement, more employees who are less subject to burnout, and a healthier, more resilient workforce through enforcing mental health in the strategy decision-making process. The review recommends that longitudinal impact studies can be considered to examine the effect of the framework on employees’ well-being and organisational decision-making in the long run.
Cited by 1
1 citation reported by external sources — individual citing-article records aren't available to list yet.
Related research
- Effect of Gender on the Utilization of Maternal and Child Health Services among Pastoralist Caregivers in Somali Region of Ethiopia — shares topic coverage
- Exploring and Modeling of “Right Decision” Characteristics in Connectedness Decision Paradigm (CDP) — shares topic coverage
- Cooperation of Business Games with Intelligent E-learning Systems — shares topic coverage
- Inclination to Superstitious Knowledge in Decision Making among the Annangs in Farming Communities of Akwa Ibom State, Nigeria — shares topic coverage
- A Study on Gender Disparity in Agricultural Resource Management in the State of Uttarakhand, India — shares topic coverage
Article metrics
Real usage data collected on this platform.
19
Page views
0
PDF downloads
2
Outbound clicks
1
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.