Product Design Manager at @Nutrisense (acquired by Dexcom). Health UX, design leadership, and AI in practice. Several follow-up questions.
Joined March 2009
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I’ve been designing for 17 years. Apparently, I’m still one Instagram Reel away from a career crisis.
Someone with a fluffy microphone has a new tool I need to learn immediately, and suddenly I’ve forgotten all the changes I’ve already figured out.
medium.com/@irisatalay/who-t…
i’m really grateful for the leaders i work with. i can go to them for direction. and on the days i need a friend, they can be that for me too. they’re thoughtful about where the line is, and that’s a big part of why i trust them.
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MCP is connected. the agents are ready.
it’s so dark and grey out i’d like to disconnect myself and go back under the blanket.
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I tried being a coffee shop laptop person. Anyway, I’m going home to do something I can’t be seen doing in public.
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i’ll fill in the Excel sheet. yes, Excel. but if i still have to ask every reviewer where things stand, congratulations to me on my second inbox. how does your team track design reviews without making one person chase them?
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Spending my Sunday learning AI so it doesn't take my job. Lovely of the time-saving technology to give me homework. 🥲
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AI builds the app.
The login works.
The dashboard loads.
The test payment goes through.
The idea is now 'validated'.
Cute. The assumption accepts Visa now.
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Your health app has great retention. Cute.
Did people come back because it helped, or because they still don’t understand their results?
I work in health-tech design, and I think we owe people a better answer.
My health isn’t a loyalty program.
medium.com/@irisatalay/my-he…
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Lately, I’ve been revisiting design questions we’d already discussed, while working with limited time for more exploration. I’m open to changing direction. I’d just like us to be clear about what changed and make room for the work that follows.
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Design what happens when the AI gets it wrong. “AI may make mistakes” is a bloody ambitious recovery plan.
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Working on graph-heavy interfaces keeps reminding me: seeing the data and understanding it are two different things.
Can someone explain what changed and why it matters? Otherwise, it’s a very pretty squiggle.
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