On their first interaction with Eva users answer a few questions about themselves:
Their last period date, whether they usually have painful periods, where they stand with motherhood, whether they use hormonal contraception or other medicaments regularly…
This allows us to help them in a more personal way.
Eva interacts with users for a few seconds every day, directly on the messenger applications they already use and without the need to install any additional apps.
Keeping chats casual and short and being able to use natural language enables women to go on with their days and discretely dedicate idle moments to write a bit about themselves or to read women health advice.
Through these micro-interactions, adapted to each user, Eva collects Mood Bits (notes on plans, meals, exercise or feelings; pictures, audio clips…) that are stored in a private journal.
These features have been successfully tested and validated with over 1000 users from all around the world. All of them were acquired organically and we spent no budget on ads or promotion.
Statistics on engagement and retention are shared monthly in our blog.
On the works
Mood Bits can be processed using NLP and AI techniques to extract sentiment and emotion. We want to use this emotion data with your menstrual calendar data to build your personal Mood Wheel.
A mood wheel is a cycle graphic that shows you where your highs and lows usually fall depending on your period, and let’s you see how the prediction and what we know from your Mood Bits reconcile so far.
Only when women understand the processes in their bodies can we accommodate them.
We are validating the assumption of users being willing to pay a fee to have a private diary. This would reduce the risks associated to personal data, but require the interactions to happen out of the messenger apps and in a native app instead.
We are validating the assumption of users and therapists willing to pay a fee to be connected over our platform. The human to human approach in chatbots has already been tested by other companies and would release the full potential of conversational interfaces.
We believe in Open Source software – ultimately bots4health aspires to be, even if partially, an Open Source platform. This will allow us to grow with the contributions of other software developers and would give users more ownership and control over the data and the algorithms used to process it. Check our roadmap and documentation or join the project on github.