• AI powered chatbot

• Real time data tracking

• Customisable dashboards

Accessibility Features

• Multimodal check ins (text, voice, emoji - based) for inclusivity.

• Adjustable interface settings for neurodivergent employees and educators

• Colour-coded stress indicators for quick interpretation of wellbeing data.

The platform is universally accessible and supports diverse workplace needs.

Audience: Employees, educators, HR professionals

Learning Topic: Workplace Well-Being & Digital Culture

Problem Addressed: Maintaining employee and educator well-being is a challenge in corporate and educational settings. Many workplaces find it challenging to track engagement trends, detect early signs of burnout, and provide personalised well-being support. Traditional approaches rely on one-size-fits-all strategies that lack real-time insights. This project introduces an AI-powered Workplace Well-Being & Productivity Hub designed to enhance engagement, reduce stress, and improve work-life balance through personalised check-ins, real-time data tracking, and proactive interventions.

By integrating AI-driven insights, accessibility features, and data-backed strategies, the Workplace Well-Being & Productivity Hub creates a more supportive and engaged workforce while reducing stress and improving productivity.

• Daily Check-ins: AI chatbot prompts users with short well-being surveys.

• Self-Reflection Exercises: Employees track their mood, stress levels, and focus trends.

• Community Features: Peer-to-peer recognition fosters a positive culture in workplaces & schools.

How Well-Being is Assessed

• Engagement Score: Measures participation in well-being activities.

• Trend Reports: Shows variations in employee well-being over time.

• HR & Leadership Insights: Assists employers implement targeted well-being strategies.

These elements encourage consistent participation and provides actionable insights to employers.

Backlinks Social Bookmarking (n.d.) ‘The role of accessibility in modern digital publishing and education’, Backlinks 99 Free PSD. Available at: https://backlinks.99freepsd.com/the-role-of-accessibility-in-modern-digital-publishing-and-education/ (Accessed: 4.3/.25).

Khogali, H.O. & Mekid, S. (2023) ‘The blended future of automation and AI: Examining some long-term societal and ethical impact features’, Technology in Society.

KongBasileConsulting (n.d.) ‘The perks of working at KBC’, KongBasileConsulting. Available at: https://www.kongbasileconsulting.com/the-perks-of-working-at-kbc/ (Accessed: 4.3.25).

Rebus Community (2024) ‘Session 6: Accessibility and inclusive design - May 2024 C cohort’, Rebus Community Forum. Available at: https://forum.rebus.community/t/session-6-accessibility-and-inclusive-design/9423 (Accessed: 3.3.25).

Silic, M., Marzi, G., Caputo, A. & Bal, P.M. (2020) ‘The effects of a gamified human resource management system on job satisfaction and engagement’, Human Resource Management Journal, 30(2), pp. 260-277.

AI Chatbot Check-Ins (Voiceflow) → Employees used emoji, text, or voice input for daily well-being check-ins.
Real-Time Stress & Engagement Tracking → AI identified trends and provided personalised well-being recommendations.
HR Dashboard with Predictive Alerts → HR received burnout risk notifications, enabling proactive support.
Gamification & Engagement Boost → Employees earned rewards for participation, increasing program adoption.

Results

📉 32% reduction in reported stress after 3 months.
📈 40% increase in engagement with well-being initiatives.
⚡ 2x faster HR interventions, improving work-life balance.

Why This Supports the Proposed Solution

• Shows AI's effectiveness in workplace well-being.

• Reinforces the need for real-time data & proactive support.

• Aligns with Universal Design for Learning (UDL) principles, ensuring accessibility.