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Frank is a wellbeing application that ‘closes the loop’ on mental health by analysing language use on your smartphone.
Like a ‘Fitbit for your mental health’, Frank uses machine learning to identify people who are showing signs of cognitive disorder, and when detected, gently nudges users towards constructive behaviours that deliver positive mental health outcomes.
Currently, more than 95% of mental health app companies don’t provide any scientific evidence to prove that their technology is actually helpful for people. We want to be an exception to the rule, so over December and January we’re piloting some specific features of Frank to ensure that our software can do exactly what we believe it can.
This pilot is a randomised control trial and is the first of two phases. The purpose of this phase is to test if our mood detection technology is accurate. The results will be analysed by an independent collaborative research institute called MESHA.
As part of the trial you’ll use some part of our app for seven days and answer surveys along the way. Your participation is totally anonymous. There’s no way for us to be able to connect any of the data provided throughout the pilot with you personally.
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