Tag Archives: rescuetime
“That’s insane! I want to try it.”
Bethany Soule is the co-found of Beeminder, a commitment tool which she characterizes as “goal-tracking with teeth.” Her and Daniel Reeves, the other founder, have spoken on how they tracked the development of the tool and integrating it with other QS tools.
In this talk from QS15, Bethany tells of how she was inspired by Nick Winter’s “Maniac Week“, to focus solely on working for an entire week. She shares what she learned from doing this multiple times, from tools for reducing distractions to tracking accomplishments and ensuring accountability. You’ll also find out how many hours she was actually able to work.
Here is the time-lapse of Bethany’s Maniac Week, as well as, her blog post on the experience:
“When I see someone driving towards me with their face buried in their phone, I get gloriously indignant about it.”
Robby Macdonell has given great talks on transportation logging and time-tracking. Here, he combined those two data streams, using Automatic and RescueTime, to prove that he does not use his phone while driving nearly as often as other drivers.
Only the data didn’t agree.
Watch how Robby confronts the realization that he is more distracted than he thought and the changes he made because of it.
In the lead up to our QS15 Global Conference and Expo, we’re going to highlight our partners and sponsors that help us produce our events. If you’re interested in sponsoring our work or events, please get in touch.
Most of us spend a large percentage of our time at work. Next to sleeping, it’s likely the activity we do the most. Just like tracking sleep or exercise, there are a lot of things to be learned from tools that help an individual examine their time at work. RescueTime is such a tool.
RescueTime was co-founded by Robby Macdonell, a long time contributor to the QS community. Robby and his co-founders developed RescueTime to answer questions like: How much time do I spend on Twitter each day? Is Outlook my main time sink? Am I coding or daydreaming?
We’ve collected a few of our favorite examples of individuals using RescueTime to understand themselves and their work, starting with Robby’s own show&tell talk from our 2013 Quantified Self Global conference.
Robby Macdonnell: Tracking 8,300 Screen Hours
Robby works on product at RescueTime and has been tracking how he uses his computer and even his phone for over six years. In the fall of 2013 he presented his data and what he learned from tracking over 8,000 hours of screen time including how to do what we all only dream about - spending less time in email.
Robby also wrote up a fantastic blog post detailing a few different ways you can use RescueTime for interesting self-tracking projects: Getting the most out of RescueTime for your Quantified Self Projects
Buster Benson: How I use RescueTime
In 2011 Buster presented his “no input required” data capture using RescuTime. In this talk he describes how he used the data to better understand how he worked, what constitutes good and bad weeks, and how this data has become “a meaningful reflection of what I’m actually doing.”
Jamie Todd Rubin: How I Used RescueTime to Baseline My Activity in 2014 and Set Goals for 2015
In this excellent blog post, Jamie writes about his methods for using RescueTime to understand how he spent his time while working on his various computers. He describes how he used RescueTime data to better understand his time spent writing and how that data is helping him plan for the future. Jamie is a great resource for ideas related to exploring RescueTime data. Make sure to check out how he used it to find out what time of day he was actually writing.
Bob Tabor: Productivity, the Quantified Self and Getting an Office
Bob used RescueTime to analyze his productivity after becoming curious about the quantity and quality of his work while working at home. The ability to measure meaningful and productive work prompted him to find an office after he realized that he wasn’t as productive at home as he assumed.
Tamara Hala: On Using RescueTime to Monitor Activity and Increase Productivity
Tamara has been using RescueTime since 2012, sometimes even forgetting it was running in the background while she worked! In this excellent post she describes what she found out on a year-by-year basis and how it has impacted her work and productivity.
We hope to see you at the upcoming QS15 Conference and Activate Expo where you can meet with members of the RescueTime team and learn more about their tool in person.
There are excellent opportunities for getting involved in the QS15 Global Conference and the QS Activate exposition as a sponsor, including very affordable sponsor tickets, sponsored demos, and exhibit activations produced in collaboration with QS Labs and our production partner e2k Events. For more info, please get in touch.
Have a great time exploring these links, posts, and visualizations!
At Quantified Self, I forget I have Parkinson’s by Sara Riggare. Sara is a longtime member of our worldwide QS community and this heartfelt post about her experience at our conferences was wonderful to read. Experience the conference yourself and meet Sara at our QS15 Global Conference and Exposition. Register here
Standards for Scientific Graphic Presentation by Jure Triglav. Jure is a doctor, developer, and researcher interested in how data is presented in the sciences. In this post he goes back in time to look at previous standards for presenting data that have largely been forgotten.
Painting with Data: A Conversation with Lev Manovich by Randall Packer. In this great interview, researcher, artist, and visualization expert, Lev Manovich, explains his latest work on exposing a window onto the world through photos posted to popular social apps.
Big Data, LIke Soylent Green is Made of People by Karen Gregory. A thoughtful essay here on automation, algorithmic living, and the change in value of human experience.
“In the production of these massive data sets, upon which the promise of “progress” is predicated, we are actually sharing not only our data, but the very rhythms, circulations, palpitations, and mutations of our bodies so that the data sets can be “populated” with the very inhabitants that animate us.”
When Fitbit Is the Expert Witness by Kate Crawford. I almost didn’t include this article in this week’s list. The story has been circulated so many times around the web this week, mostly without any real thought or examination. However, I found that Kate Crawford did a good job putting this news in context without resorting to sensationalism.
How California’s Crappy Vaccination Policy Puts Kids At Risk by Renee DiResta. A bit of a sensational title, but a great post that uses a variety of open data sources to showcase a growing concern about childhood vaccination policies in California.
How I Used RescueTime to Baseline My Activity in 2014 and Set Goals for 2015 by Jamie Todd Rubin. I’ve been a big fan of Jamie’s writing since I found it earlier this year. He’s voracious self-tracker, mostly related to his tracking and understanding his writing, and this post doesn’t disappoint.
Sleeping My Way to Success with Data by Pamela Pavliscak. A great post by Pamela here about her experience starting tracking her sleep with the Sleep Cycle app. A great combination of actual data experience and higher-level thoughts on what it means to interface with personal data. I especially love this quote referencing her experience interacting with other sleep trackers,
“And they are doing the same thing that I’m doing — creating data about themselves, for themselves.”
Into the Okavango by The Office for Creative Research. A really neat interactive project by researchers, scientist, and the local community to document an expedition into the Okavango Delta in Botswana.
A Day in the Bike Commuting Life by Strava. The data science team at Strava put together a neat animation comprised of one-day of cycling commutes in San Francisco. Unsurprisingly, the Golden Gate Bridge is quite popular among cyclists.
While some people are using their data to help solve or, at least, alleviate seemingly intractable health issues, others are using their data to stave off issues before they occur. Daniel Rinehart talks about using sleep, happiness and biomarker data to keep himself in various “optimized zones” for his long-term health (filmed at the Boston QS Meetup).