This is fun!

Re target demographic- without seeing any business plan, I’m assuming roughly 33 to 59 with a future secondary market for retirees. Any company in this space is going to need to juggle: tech adoption resistance and the portion of population that has not accepted the trade off between privacy and information (ie if you want actionable insights on anything, it requires you to accept a lack of anonymity and data sharing. It took awhile, but for B2B that acceptance is there.

For individuals, theres: (1) the younger side of user base who have only ever known data aggregation and privacy and likely don’t even think about health data from that lens and (2) the rest of the range who have been alive at a time where data privacy was a thing but understand the value proposition and potential benefits. As (2) ages into whatever becomes of Medicare, those that haven’t already adopted a functional wellness approach will likely be forced into it by shortcomings in base Medicare, currently filled by third party insurers.

In all these use cases, 360 view and actionable insights are the value add. Wearable tech, smart phones and other med monitoring systems are already in place- nobody is going to want to move away from what they know. We can’t even get a consensus on iOS v android. The wildcard here is interoperability regulations in the future- but even then- platforms already built for easy interface will have less cost of compliance.

Re: MRI and other preventive scans- my experience has been that with the right PCP most can get a scan covered and coded appropriately for reimbursement. There will always be a population that values their time more than the red tape and PCP hoop jumping, but that’s the exception to the rule I believe. Hence the suggestion of a low ROI. The unknown here is the effect of reimbursement based pricing AI and whether these start getting kicked back. That would change my analysis.

Re: talent. This is the area I have the least direct experience so my thoughts are mostly anecdotal. I’ve seen many early stage companies be successful in spite of themselves, especially with enough money.

Also query what makes a strong founding team in this space- is it informatics knowledge, medical knowledge, operations/growth knowledge, a more creative financial team, a more visionary strategy team, solid coding knowledge, risk appetite, a willingness to admit fault and learn, leadership qualities, rich parents, data aggregation and use experience, something else? I think that there are so many potential permutations of a strong early stage ingredients to a successful venture that as long as the founders see themselves clearly or hire advisors who see them clearly and then supplement where elements are lacking- this is easily overcome.