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Latest insights and trends in Personal Analytics, Operational Intelligence, and Workplace Productivity.

May 24
Movie Time at the SF Quantified Self Meetup
There was a definite theatrical feel to the recent San Francisco Quantified Self (QS) meetup for a number of reasons, not the least of which was the fact that the 70-odd attendees were meeting in a movie theater at the Ninth Street Independent Film Studios in SOMA.  The meeting was also being recorded as part of a documentary film about the growing movement of self-managed healthcare in U.S.  The result was that the evening’s half-dozen presenters—equally divided between QS toolmakers and members with personal self-tracking stories-- took the stage with a little more eagerness than at previous SF QS meetups. 

 
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A good many of the presenters had tools and stories related to fitness and nutrition such as Troy Angrignon, who described how he uses QS tools and techniques to improve his extreme sports performance, and Erin Frey, whose “Yo-Yo Tracking” talk focused on the ‘metrics burnout’ she’s experienced after tracking a total of 311 goals for 631 days (including diet, exercise, sleep, blood, etc. ) As the lone work productivity tool on the program, my presentation explaining the benefits of Omnicontext Personal Analytics was well-received by the audience since it focused more on the work aspect of the work-life balance that was an expressed concern of several audience members .

 
Seeing some of the time-tracking features in Personal Analytics (for website and application use by day, week or month), one audience member’s reaction was “this is just like RescueTime.”   In response, I showed that Personal Analytics does more than measure time for efficiency.  Because we also track mobility with GPS and accelerometer measurements, I said that with PA you just might be able to convince your boss you’re more efficient "working with a laptop on a beach." 
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Ending ‘Chore Wars’

 
My presentation closed with a selling-point that went over well with the diverse audience.  I explained that Americans are not only bad at properly estimating their time spent on work, but also on other activities such as ​housework. ​ (According to one study, people grossly exaggerate how much time they spend on housework, with men estimating they spend a total of 23 hours on housework per week (versus the 10 hours they actually spend) while women estimate 32 hours (versus 17 hours when records are kept). Because Personal Analytics tracks mobility, two-earner families now can have access to solid information in their attempt to peacefully settle "chore wars."

 

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