Tailored Meals
Project Infobox 
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| Self researcher(s) | Jason Langheier |
| Related tools | zipongo, calendar |
| Related topics | Chronic disease, Food tracking |
Builds on project(s) |
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| Has inspired | Projects (0) |
| Show and Tell Talk Infobox | |
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| Featured image | |
| Date | 2012/09/15 |
| Event name | 2012 QS Global Conference |
| Slides | |
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Tailored Meals is a Show & Tell talk by Jason Langheier that has been imported from the Quantified Self Show & Tell library.The talk was given on 2012/09/15 and is about Chronic disease, and Food tracking.
Description[edit | edit source]
A description of this project as introduced by Quantified Self follows:
Jason Langheier is the CEO and founder of Zipongo and a Qualified Selfer. In this talk, he discusses how to design a behavioral economic dashboard using your Quantified Self data. He shares how QS data can be used to actually change the way you live despite the hustle and bustle of every day life.
Video and transcript[edit | edit source]
A transcript of this talk is below:
My name is Jason Langheier and I’m the CEO and founder of Zipongo and I am a Quantified Selfer and what I really want to focus on today is how you can use Quantified Self data to start to empower your own life and take control of setting your own default behaviour in economics.
On here you can see that we invest a lot on late stage of disease care, but we need to invest more in early stage care. And things like stroke, and for me represents people like my uncle and my mom and my grandmother. So I’m a doctor and I spend all this time training but these things in red they really focus on being reactive. They focus on waiting until you’re sick, but yet we create a lot of great information in exchange with the doctor but increasingly we have a lot more information that we can collect on our own, and with the doctor, and with friends and family. And it’s using tastes and preferences like your shopping history, environment data that’s collected all the time now on your phone if you want it to, information about your peers and Quantified Self devices. So as a starting point, setting your own default behavioral economics is about looking where you live and making choices. I moved from North Beach recently in Presidio and I run three times as often each week just because I’ve got trails in my backyard. But default behavioral economics are a little tougher when you travel all over as an entrepreneur to a lot of amazing places so you have to be even more intentional about what it means when you’re in different places with a routine. And that’s not necessarily about you know tracking your steps and things like that, that’s part of it. It’s about being very intentional about schedules and stock routines and what that means. I think about the work day, the work travel, home, and adventure travel. And there are different pain points involved what are tougher to have a healthy lifestyle around different points. Also besides I put a lot of QS into scheduling, both reviewing schedules from the past and how well it worked especially with my wife, and reviewing the schedule in the future to try to set default behavioral economics that make it easier to live a good life. Social is kind of funny to me, we talk about that quite a lot as a Quantified Self info source. When I look at my friend Pete I’m like yeah, I don’t really get a ton from it. but when you look at what I choose to express to other people there’s a lot there in terms of what my profile is about. Frankly, what is a lot more meaningful and having an impact on my lifestyle is my text messages and my calls and I do seem to get a lot of emails for subversion as we’re coding a new app. But I think the key thing is that as we start to take some of these Quantified Self devices and I’ve used these we can start to generate a life map in some of the tools that we have. I just went on a binge of buying new Quantified Self devices, and that tells me a little bit of am I as active as I thought I was going to be. And when I look at my nutrition profile I can pull up and get some insights around I actually didn’t realise I’m getting a lot of my sugar from fruits. I’m probably over-eating fruits which is kind of an odd thing to think in a healthy lifestyle but it’s true. But what’s really interesting is that you know, this Quantified Self data is just a piece of the puzzle that helps me think about adjustments to that planning phase that I talked about before. So what we’re really interested in thinking about of how it affects my weight. My weight went up five pounds for the first time in my life since college, freshman year, because I had been travelling so much not so much of a big a deal but something I want to watch and check. And so what I found it was mostly related to sleep time and of course eating on the road and less physical activity, not that unobvious to you. The real question is you know, how do you change that, and in addition when I did my disease risk, I’m very lucky to be healthy I think, except on issues like I’m pretty concerned about cancer and my inflammatory profile which I’m not going to show you right now is not as fortunate and starting to think about what I eat can address that. So healthy weight is an issue, energy is always an issue when you are not getting enough sleep as an entrepreneur and part of that is getting more sleep and part of that is optimizing other things. So what I really wanted to end the talk about is I’m now using all that information I just shared with you and I’m building myself a better plan for what I eat. And I’m also taking my shopping history from my Trader Joes receipt and a subset of what I track. You don’t have to track your food all the time. Just a subset because you can correlate that to your shopping history and I still get the shopping history feed all the time with my wife, and it’s now tailoring all these deals that I set up for myself and when I set the system. And each week when we go grocery shopping we look at this calendar that’s generated off of Zipongo for our self, and we mostly get the same stuff, but it inspires us to try new things and run recipes but it restricts us to some extent in the ways that we wanted it to restrict us when we were motivated to set up the plan. Because the truth is, when you’re on the go mid-work week and you’re tired and you’re stressed about something that randomly came up, you don’t usually make the healthy choice. So this talk is just really about taking your Quantified Self data and when you’re motivated, and when you have a calm moment and can use great tools that the Quantified Self community is creating, use them to design your new defaults and setup a default behavioral economic plan using your QS data to actually change the way you live, especially with the hustle and bustle of every day.
So I’ll close by saying that we’re launching a new application that is based on both my self’s own Quantified Self experience and a lot of friends who helped us build the next versions of Zipongo and we’re generating a grocery prescription for healthy living. If you’re interested in private data, you can shoot me an email at jason@zipongo.com . thanks for your time and it’s an awesome conference.
About the presenter[edit | edit source]
Jason Langheier gave this talk.