In this episode of The Research Says, Eileen explores the fascinating world of hidden workplace wellbeing data inspired by her conversation with Louise Cashman at Mott MacDonald.
Key Discoveries:
Sporadic absences predict mental health episodes 73% more accurately than total sick days
Email response patterns change weeks before people report feeling overwhelmed
Calendar density changes predict stress levels with 82% accuracy
Individual survey score variance is more telling than averages
Badge swipe patterns reveal social withdrawal before it becomes visible
What You'll Learn: The difference between obvious metrics we think we track well (but don't) and the hidden signals already in your systems that could transform how you support your people. From MIT research on email patterns to the psychology behind productivity spikes, discover how to use data as a tool for care, not control.
About Eileen: Eileen Donnelly is the founder of Ripple & Co, specialising in evidence-based workplace wellbeing. She helps organisations create psychologically safe environments through data-driven approaches and practical mental health strategies.
Connect with Eileen:
Email: eileen@rippleandco.com
LinkedIn: Eileen Donnelly
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