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Why data will revolutionize globale female health

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Ida Tin, CEO and co-founder of Clue, the world’s fastest growing period tracking and fertility app will talk about how we can use data to fill the gaps in the vastly under-researched field of female health and reproductive health.
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I'm a I'm I think a lot of users so welcome
stage unity and cofounder and CEO of clue the world's fastest-growing female it this here was
asked to illustrate why why dont I will revolutionize global funeral helps
alright so and
on the is going to be the very analog version but maybe that's a better 1 so
am ETA 10 I'm CEO and cofounder of the flu we're a start up a certain billion and working on an ad called clue it's an apt to help women track cycles and understand what's going on in the body of maybe just 2 words about why I started thinking about this which I did in 2009 and I have been in relationships since I was 16 so many years and had tried to be in the pill and didn't work very well and a lot of side effects and at some point I was really like why is it that nobody has innovated in the space of family planning since the pill came out in the fifties almost 70 years in the history of technology that's a very long time we put people on the move since then and still women don't know what based they can get pregnant that make me wonder and I thought if I could take information about the body and put it on the phone that would be the perfect kind of heart of that use experience of accessing that data the so I believe that working on educating women about their bodies is 1 of the most meaningful problems we can work on
because a foundational part of human existence right without ministration there would be no humans on the planet and so we know that the you and have set up as a millenium goal that all women should have access to information about and Rep reductive health and they should be able to have the kids they want when they want to it said it said is a human right to have family planning however since the skulls were set up in 2005 almost a billion women have had an unwanted pregnancy so we still have a long way to go and what I see and what really inspires nearer nice that we have this unique combination of computing power the phone we have a whole host of sensors getting as data about the body
and and we can do this and personalized
and gather collection and incentive in size to a user on a platform that's whole many people have now and the in fact there's more women with access to a phone now but access to family planning at so what we can do is that we can inform women through this platform and differences that are actually that are actionable um and helper understand what's going on so that she can make good choices for us so they don't give up easily and I like that different but many put that the let's let's and the point is really to enable women to live full lives and healthy lies together with having this biology that we have dead I think many will experience kind of can sit up like limitations to what we can do specially around the world where there is a lot of 2 blue around this and what we wanna do it close to help women and their partners a full life ended again just when you can control when you have babies and how many you have then you can put them to school you can educate them you can stand the workforce so it's really the foundation of a lot of good development site is that we wanna see globally so let's see right now and clue is as this a little dizzy have some stats around around the products so we are in 11 languages is available on ideas and dried and Apple Watch um period trying apps is the 2nd biggest category and fitness and health so if you think it's the is not any should all it's actually a huge category the and we're ranked right now number 3 in the US and health storm appear tracking amps and we're raced 10 10 million and dollars from some of the Russian very good and it's just to me that short and we have 35 people the international team sitting in but then we've had and of media yes all lower so another thing which is really important to mention when we talk about reproductive health and female health is that there's a very big emotional company got components of this because reductive hell's connectors some of the most central areas in our lives of sexuality our identity of families and and also power structures in society so there really is a very was the central part of I've basically um and we see that people often start tracking data around their health to understand the the biology you know why do add these headaches and my normal and healthy but with the keep people engage over time it's a more emotional side of things is that ease of mind of like half now I get it now understand what's going on and I think that is something which is really key to know and understand is that the the emotional side of rep don't have the BER productive and human health this is a massive part of living well without qualities end reproductive health is and the mon houses really long journey it starts with a woman having a 1st period and then maybe try not to get pregnant for many years been trying for a baby may be having problems getting pregnant then you go through pregnancy you go through breastfeeding maybe and then all the way through menopause and in between there's a lot of maintenance people have 15 per cent of women have the Suez was a condition that is relayed through cycles so there's this is all this stuff going on and you never really quite figure out the system because the 2nd you have think you've figured out something changes and you still don't really understand how your body works so it's a huge part of public spending as well as female health is really it's the big business and there are a lot of products around your house but very few of them are digital the so 1 of the things that is so fascinated by this time is that now we have on a lot of data and we need data and so that we can do the predictive analytics we wanna do we can give the insights we wanna give and really take this whole part of life and transform it into the data points not just making it kind of digital it's not about having did to the calendar is about transforming a part of life into data points so that we can analyze them and
understand it much better than we did before sadistic area ends of scope so on when we look at research right
now and we see what studies have been made some of this the 2 largest studies that was happening over a long pairs of time and had between 650 and 2 thousand 700 women and men and they and the first one track 30 thousand cycles and the last 1 check to 170 5 that 270 and 5 thousand menstrual cycles and this is the kind of data that them are textbooks is based upon so when you go to the library you read a book about human health and this is a kind of scope this is kind of data this these textbooks were based on and right now we get literally millions of data points every month so it's completely new scale and this is of course very exciting for researchers the and we're working together with and Oxford how at Columbia and Stanford so some of the best researchers in the world um because it's a big part of our vision and mission to really help move science for and what it does on the consumer side is that it helps it helps us make our predictions more accurate so we can tell a woman better what is about to happen with her body um it makes is able to do smart health correlation so that we can see how that headache your suffering from is related to a cycle or that bleeding pattern we can recognize that maybe you have intimate roses the and then we can do better preventive care we can see all looks like you know you might have an address pregnancy or many of the things on the academic side of course they can move research way way faster than they ever were able to before um and on the health care provider side it means that we have we raises awareness that every patient is unique this is a a big debate at the moment that most research is carried out on wide young males because they don't have cycles which messes up the results but of course that's a big problem so this awareness that every uses really unique for every patient and is very important and we can diagnose much faster which is of course important for it the outcome of the treatment and then we can see when symptoms start them and and the change the so it's people can opt in to be part of this research or they can choose not to have an account and not have the data go anywhere and but many really most people they say if my anonymized data can help move science for I think that's a good thing and we're very grateful for that um and on that note I think it's really important to say that we do not sell user data this is not what we wanna live from and we we live and die by the trust of our users right we don't if you don't wanna inter your data into the that it does you know we're out of business so really having this tree very clear agreement between the user and also the company what to you what you get is really really key and on that note I think it's very important that companies like mine a trade a business model that's transparent so that people understand you know where's my data going and the the and then we do have competitors that they should do so the data so it is relevant conversation to have and and that's not what I want to basically and the yeah so that was very very brief without slides version of what I want is a say and the I think we should just have a conversation with it's like yeah listed there
few so any question please so use the microphone of buddhism layer of gold or when you got a microphone and those of us the 1st session in yeah so was I am I thinking precludes super
useful I will I you mention that I want to benefit of having additional data is that you can improve your sort of predictive algorithms to what extent is that something you actually want included in the Act because on the 1 hand like academically and just from that problem when you and I can see that the incredibly interesting and in terms of saying OK the symptoms that actually indicate this thing on the other hand has a user as a consumer suddenly that feels very uncomfortable to me that I feel like we know I don't think I don't want to have to start telling me like a surprise you this disease on word and I think that the idea of we OK who really does have access to this data becomes a much more pressing issue because it's 1 thing when meeting in random data points it's another thing when I start to realize the data points are telling a story about me in my house so just to review so it's optional if you don't want the
data to go anywhere they can stand your phone with the benefits and disadvantages that that has um so I
think 1 of the key things of building close to understand how do you how do you make it you just right for the user right so that kind of feedback is something that we take very very serious and we you know seriously and we listen to and and if you don't want to add to tell you that Hayes something looks a little off maybe you should go see a doctor that belong do that but we do here that a lot of people they might walk around with the condition that gives some you know a lot of discomfort and they don't know and for these people it is a she very helpful to have somebody say you know maybe you should go talk to Dr. we won't diagnosed because we can't do that and we're not a medically and certified absence that's you know that's a line will not cross and I do appreciate that sense of like how does it not start feeling it knows too much and and I think that is something that we really have to yell it's like when we have an advertisement in our stream that is looks to well like I had you know targeted will I get a little uncomfortable um and how do we do that with the body in something that's very this on the other hand I mean my mom got breast cancer right it would have been great if somebody had you know told her earlier so it's like how do you balance these 2 it has to be in in you know something we to figure out to get the basic you but I think that was a question that In on I guess all of this
has actually have 3 questions of it's
OK and that of course a pretty easy to answer I guess 1 and you mentioned 11 countries at the beginning 11 languages there is 190 countries OK could you what other where is most often used that with trees so users are because market
um then comes Germany England Latin America's steak I but at this
very driven by way we do activities to grow there because I'm my idea
was in terms of the countries where access to health care is a bit more difficult than in 1st what countries might be even more helpful and this is an enticing to to the 2nd question I guess goes in to your direction so could you tell us a bit more about the diagnostics public because for me it's a bit hard to imagine how it actually works of more doesn't really give an active tips this think about that thing about this so yeah so if anyone else take that number to a question 1st
so I don't feel my job is done until everybody in this planet can understand what's going on and so there's a big challenge to how do you get to people that might have so we did we just it's the 3 weeks of research in South Africa for instance and people in low-income communities they actually do have even smartphones but they don't have a data plan like they can afford to send receive estimates says so and so we're working on developing potential is something which is more conversational uh you I model so more like a pot and that we can so they can use the service without having to transport a lot of data and and I think there's a huge opportunity of actually getting to people that have headphones even if they're not connected so I think it's you know we we can really get to hundreds of millions of women we really can and about the diagnostic so we are still early I mean we can we can and this if this thing is picking and we can do is we can do some things and we have a lot that we do kind of under the hood that is not on in the prior again and week so I think 1 of the 1st thing that people will see in the product is recognizing in the metro suspend peace US which of 2 very common diseases 4 conditions actually the very last
question I'm but the business model because it said you don't want to sell you the data could you say 1 about that how does it work at the moment mean and you get like a 10 million dollars of funding but yeah so it's been a strategic choice not to try monetized yet because
we believe that the biggest opportunities to have a lot of users and then we can figure out what to do but we have many ideas and I think the 1st very simple premium feature will be and optimizing the ad for famine natural family planning to make it really helpful 8 you can do it now but we can do better and more and that is something that I think some people will want appeal that for thank you silicon solar next
question I think you you want our a question in the 1st row but it's a laughter I think it was almost the same that he asked that maybe you can give some concrete figures about the
numbers of how many women in Africa or insert world countries use the
so I don't have them on top of my head am and again I'll say that a lot of our growth as and guided but where we do
most activities and but I mean just an example we had a you talk about who uh clue in sub and Saudi Arabia and we saw a huge spike and so I think a shipping surprised at how well the EP seems to translate culturally them across the world because we you don't build it for American you're going to have tested the sign languages has but it I think it's I know a woman in the Philippines or woman in India are women in South Africa there would you know adults have get value from using that as it is right now I don't have an exact figure on how many people in Africa but we have not you know we don't we think that the a bot is maybe a better product for Africa right now so we haven't pushed the product that we have because we don't think that's right forget but by what 1 thing which is really important is a set the data we collect here and intelligence that we can build around understanding the data here we can feed into much simpler platforms so when we process data that is generated here on on the ad and all you know we can enter a lot of different data like enriched dataset we can understand things and we can take that understanding and feedback to user who was on a much simpler platform so that everybody benefits from what we learned even if they don't have the full experience they medium this but how many users to have in
total all over the world we have uh more than 4 million active users run
on here no not initially real-estate luminance all its
ladies 1st the and just a very short question doesn't work on like various like me being from South Africa the most phone
you suspect very who noticed
sorry of next feature those question here of the Honda short question is well
what can you tell us something about sensors they're being used for tracking and what you think about that yeah something we think a lot about I
originally started out this whole thing thinking about census is something I'm very interested in and
we keep looking into everything we can find to see you know what is being developed and there are different universalist temperature which is helpful but I really think the world is ready for the next lead generation and my the hydrate could be a very interesting 1 because it's you know so easy to get and we're doing and resets to look at fit that right now because it's basically the same thing you can see in the body that the heart rate goes up a little bit which after you overlaid when you latent after but I think the real chances figuring out something that can tell us you 5 days before we ovulate that we're about to ovulate and to do that we can have if you right now you have to look at like the molecular level and and that is still a challenging in a home the way and but it's coming and I think what we're getting better at is taking lots of different kind of noisy data streams and making sense of it so it's I think in my mind I have gone from thinking that it's very much like a sensor to thinking is much more data play it's much more taking all the passive strain so we have but if somebody comes up that like the perfect sense of Augustus history data points you know I love it I hope I'll be in position to partner with them that would be dream scenario an axiom then known as they want 1 last thing maybe is said I really the really think and hope and want to get to a point where we can develop a contraceptive which is not based on hormones and we're not there yet and passes it you can use natural family planning in it's OK but I don't think it's a mass Kenneth solution to a problem so you know we keep pushing for that but I am very sad about that you know it will come the no
thank you so much that thank you so much for you and your majors so I wanna say that we're building a feature for the partner or
partners all or perfect you know moms and dads so keep looking it'll will come soon found out on of battery or I might
have yeah hold on a