Jonathan explores whether personalized health goals work better than one-size-fits-all approaches. He discusses alignment metrics and how individual beliefs shape health outcomes, arguing that tailored solutions matter more than generic advice.
Every user I talking about health is so personal. Right. They all have certain goals and they all believe, like, and they rightly should believe that they're basically a unique snowflake and they need some unique answer for their particular goal. So the value hypothesis solution hypotheses are getting stronger over time. I feel really stoked about that, Jonathan. And I also, I want to say you mentioned alignment metrics. Do you want to tell the audience where that alignment, the naming of that came from? That might be just like a little fun Easter egg for the audience. Yeah. Like, can I add on to what you're saying about the meeting the user, where they're, how they evidence their beliefs, I guess is like, these are two. Two of the different alignment metrics that I created are. One is belief verification and then belief evidencing. And in both of these you're trying to see, like, how does, how does the user or the patient think about, like, how they evidence their beliefs? Is it from their experience? Like, this is one epistemological approach is that, well, you know, like, I do this every day and I see these outcomes and like, this works for me.
