Preventing mental health distress from escalating, by identifying potential patterns of behaviours leading to it, is of crucial importance. We are using predictive algorithms and machine learning to find effective ways of predicting changes in users’ behaviour that may signal mental health distress.
We are continuously trying to improve the way we deliver our content so that our users can make the best out of it. To do so, we are trying to capture patterns of natural engagement with our solution as well as understand what external factors drive users’ engagement (and how engagement can be maximised).
We want to make sure that we are tackling our users' needs in the most scientifically rigorous and clinically effective way. Our research includes longitudinal as well as randomised control trials in the healthy and clinical population investigating efficacy of our solution in reducing mental health distress.
If you want to participate in one of our research studies or if you want to collaborate with us, please fill out the form below or email our Head of Clinical Research at [email protected] and we will be in touch shortly.