The science behind Unmind
Welcome to the Unmind lab. Here you can find out about our Science team and their work, as well as the experts and prestigious organisations we partner with.
Why we research
Digital mental health tools are a relatively new technology, yet the past decade has seen an explosion in research evaluating their use. Hundreds of studies1,2,3 have now shown that mental health apps can make a real difference to the lives of those who use them, including positive effects on stress, sleep, burnout, depression, anxiety, wellbeing, and job performance.
But despite this, many research questions remain unanswered, and only 5% of mental health apps4,5 have been evaluated in high-quality studies.
At Unmind, we're committed to reversing this trend. We really care about improving the lives of our users, and that means rigorously evaluating our platform, ensuring it's backed by evidence. The insights we learn from research allow us to continually evolve our product and enhance our users' journeys.
The four pillars of our research mission
To generate an empirical evidence base, we conduct studies that evaluate the impact of our platform, following research best practices along the way.
The findings from our studies help us to continually improve our platform, revealing which features are the most effective and engaging.
By committing to research that advances our wider scientific understanding of mental health, we’re using the data and resources available to us for the greater good.
We strive to communicate our research methods and findings in a manner that's widely accessible, regardless of what we learn.
We work with prestigious academic institutions at the cutting edge of research. Together, we publish studies, validate our product, and further our collective understanding of mental health.
School of Psychology
The Psychometrics Centre
Meet the team
These are the researchers, scientists and professors developing our product and furthering our collective understanding of digital mental health.
Our approach to research
Our research roadmap was developed in collaboration with our academic partners, and comprises these three pillars.
Efficacy and effectiveness studies
We conduct randomised controlled trials designed to evaluate the impact of our platform on the mental health and wellbeing of employees who use it, as well as wider organisational outcomes.
We draw on the latest science behind psychological assessment to make sure our platform features reliable, credible and robust measures of mental health and wellbeing.
We work with our clients to evaluate the impact of Unmind post-launch, ensuring that our efficacy findings translate to real-world settings.
Our research principles
At Unmind, we hold ourselves accountable to the highest standards of academic rigour, and are guided by the following principles.
Studies in progress
Our research team are actively working on the following global studies with our collaborators.
Validation of the Unmind Index digital assessment of mental health and wellbeing in the United States, Australia, and New Zealand
Feasibility and preliminary efficacy of digital interventions for depressive symptoms in working adults: a multi-arm randomised pilot trial
Feasibility and preliminary efficacy of digital tools to improve sleep quality in working adults with poor sleep: a multi-arm randomised pilot trial
Digital interventions for anxiety and stress in working adults: a real-world, single-arm effectiveness trial
Why we research
1. Carolan, S., Harris, P. R., & Cavanagh, K. (2017). Improving Employee Well-Being and Effectiveness: Systematic Review and Meta-Analysis of Web-Based Psychological Interventions Delivered in the Workplace. Journal of Medical Internet Research, 19(7), e271. https://doi.org/10.2196/jmir.7583
2. Lomas, T., Medina, J. C., Ivtzan, I., Rupprecht, S., & Eiroa-Orosa, F. J. (2019). Mindfulness-based interventions in the workplace: An inclusive systematic review and meta-analysis of their impact upon wellbeing. The Journal of Positive Psychology, 14(5), 625–640. https://doi.org/10.1080/17439760.2018.1519588
3. Phillips, E. A., Gordeev, V. S., & Schreyögg, J. (2019). Effectiveness of occupational e-mental health interventions: A systematic review and meta-analysis of randomized controlled trials. Scandinavian Journal of Work, Environment & Health, 45(6), 560–576. https://doi.org/10.5271/sjweh.3839
4. Lau, N., O’Daffer, A., Colt, S., Yi-Frazier, J. P., Palermo, T. M., McCauley, E., & Rosenberg, A. R. (2020). Android and iPhone Mobile Apps for Psychosocial Wellness and Stress Management: Systematic Search in App Stores and Literature Review. JMIR MHealth and UHealth, 8(5), e17798. https://doi.org/10.2196/17798
5. Marshall, J. M., Dunstan, D. A., & Bartik, W. (2020). Apps With Maps—Anxiety and Depression Mobile Apps With Evidence-Based Frameworks: Systematic Search of Major App Stores. JMIR Mental Health, 7(6), e16525. https://doi.org/10.2196/16525
Our research principles
5. Al-Durra, M., Nolan, R. P., Seto, E., Cafazzo, J. A., & Eysenbach, G. (2018). Nonpublication Rates and Characteristics of Registered Randomized Clinical Trials in Digital Health: Cross-Sectional Analysis. Journal of Medical Internet Research, 20(12), e11924. https://doi.org/10.2196/11924