I love the word balance. It implies that you have enough of everything. You’re not wanting for anything, or drowning in anything. When we talk about work/life balance, it means you’re getting enough work done, but you’re also spending enough time resting, relaxing, and attending to your family, hobbies, and interests outside work.
For those of us whose work tends to blend into our lives it’s even more important to find this balance. For my co-founder Josh and I, we find ourselves working in some form or another every single day. Which means if we’re not working we tend to feel a nagging sensation that we should be, because it’s become our default state.
Not to mention the ever-growing mountain of side projects and volunteer activities we want to take on, and new skills we want to learn.
I’ve always been keen to fill up every day with learning and practising new skills, but I’ve never been great at making sure I get enough exercise. Maybe you have a particular area of work or life that gets neglected. My ongoing imbalance was the impetus for me to start tracking my activity and other areas of my life.
I started out with a simple activity tracker on my phone, and graduated to wearing a Fitbit all day, every day. I use apps like RescueTime to track what I do each day, and put as much of this data into Exist as I can.
Exist is designed to help you find meaning in the data you track. There are three big reasons it’s helpful for finding that balance between work and “life” activities: it uncovers hidden correlations and trends, it has built-in mood tracking, and it creates personalised goals based on your data.
Tracking data about my own activities causes me to ask myself questions like “Am I improving?” and “Have I been doing x more or less this month?”. Exist helps me answer these questions by surfacing insights into my data. For example, I recently had this insight on my dashboard:
Walking less this week
8,545 average steps, 1% decrease
Walking less isn’t something I want to make a habit of, but thankfully I only dropped by 1% in the past week. And knowing that my overall average steps is around 8,000 per day, I’m pretty happy with that average from last week.
I also noticed these sleep-related insights recently:
For some people, going to bed later and getting less sleep would be a bad thing but those sleep numbers are pretty good for me. I have a tendency to oversleep some days, just because I don’t have a set time I have to start work, and it tends to set my day up badly. Knowing this, I’m putting in a conscious effort to not stay in bed too long in the mornings, and these insights show that it’s working.
Seeing what my average is for each type of data can be illuminating, too. Exist breaks down averages by day of the week, as well as showing my overall average for each data point.
(Note: I used a Jawbone UP between my Fitbit Force breaking and the Fitbit Charge being released, which doesn’t track floors. I haven’t been wearing my Fitbit Charge long enough to increase my floors average yet)
It’s good to see, for instance, that my average mood is 4/5. It’s also pretty obvious, looking at this chart, that I tend to rate my mood higher on weekends.
I can also see that I tend to walk more on Fridays, and that my average steps is just over 8,000 per day.
My productivity tends to dip on weekends, and jumps up most on Tuesdays and Wednesdays. This makes sense, since Monday is our catch up day at Hello Code, so Tuesday is when I start to really get stuck into my work for the week.
I like knowing these averages, because it helps me calibrate my own goals. If you’ve ever used a fitness tracker or a pedometer app on your phone, you’ve probably been confronted with a suggested (or enforced) 10,000 steps per day goal. Although this might be suggested as a healthy amount of exercise for adults, it’s ridiculous to expect someone who walks 3,000 steps per day on average to suddenly jump up to 10,000.
8,000 steps per day has been my average for the past six months or so. I know this is the amount of exercise I get without trying too hard, so if I want to increase my activity levels I’ll know to start by aiming for around 8,500 steps.
Seeing the correlations between different data points is one of the most surprising and useful parts of Exist. Although correlation doesn’t imply causation (i.e. just because two things are related doesn’t mean one causes the other), correlations can still give us useful clues into our existing behaviour and how different things affect us.
I’m especially interested in what affects my productivity (tracked with RescueTime) – both negatively and positively. I’d like to learn from my correlations so I can set myself up for the best chance of being productive each day.
Here are some of my current productivity correlations:
This is a fairly obvious one. The more I’m exercising, the more time I’m spending away from my desk. If I had a treadmill desk I might be able to turn this correlation around…
I’m pleased to see that I have a better day when I’m productive. I’d be in a tricky position if being productive put me in a bad mood!
Although I don’t work at night, a warm overnight temperature usually means less sleep (or lower quality sleep), which doesn’t bode well for a productive day. It also means it’s likely that the next day will be warm, which makes me uncomfortable and less likely to get work done.
I can also see from my correlations what affects my mood, and when I’m more likely to exercise:
Lots of floors climbed could either be walking up and down hills (yuck) or staying home all day where I go up and down stairs a lot.
I don’t purposely go out walking in the rain, but I guess it just happens to catch me often.
Exist has built-in mood tracking that works via a simple email. Every night at 9pm you get an email you can reply to including a rating for your day from 1-5 (1 being terrible, 5 being perfect) and a note about what happened.
Mood tracking is a really simple way to make sure you reflect on what happens each day and how you feel. We’re adding mood tracking to our mobile apps (currently in beta testing) to make it even easier: each night at 9pm you’ll get a notification that will take you to a simple form with five numbered buttons and a box to type your note into.
Although I tend to dread the effort of thinking back over my day and choosing a rating for it, I’ve found mood tracking to be so useful that I’ve kept it up for over a year now. As I go about my day, I tend to be more mindful of how things affect me because I always have in mind that I’ll be rating my day later and making a note about what happened.
My favourite part of mood tracking is that in the nightly emails we’ve added a feature called “Looking back” that shows you the mood entry you made on this day one year ago, or a random old entry if you don’t have one from exactly a year ago. It’s fun to open the email wondering how I felt and what I was doing this time last year, and to reflect on the notes I left to myself.
This reflective feature also makes me more mindful each night of what I enter as my note. Knowing that I’m essentially leaving a note to my future self each day helps me think about what was most important about my day, and what I’d want to know about it on this day in the future.
I also love comparing my old mood notes with my partner Josh to see what he wrote on the same day. We’ll often find we both mentioned something fun we did together, or the weather or some big news that was happening at the time.
Using averages as goals
We dropped goals from Exist a few months ago. One of the problems we’ve always had personally when tracking our behaviour, especially exercise, is working to hit a particular goal every day and losing motivation to do so after a while.
These days we use averages as goals. It works like this: if today is Monday, we create your steps goal for today by finding the average of your steps for every Monday in the past 90 days. We do this for productivity goals, too. So if you’ve been working late on Friday nights in the past few weeks, your RescueTime data will reflect that and your productivity goal will be higher on Fridays.
And here’s why it’s awesome:
I don’t need to waste any time setting goals. Exist does it for me, and each goal is personalised to me.
This also means I’m competing against myself. Every goal is created from averages of my own data, so I’m only ever competing against “past me”, rather than aiming for a goal set by someone else.
And lastly, it’s always up-to-date. When I moved house recently my average steps per day dropped as my situation changed, and after a few weeks my averages started to reflect that. Because we only use averages based on the last 90 days of your data, your goals will always reflect what your activity has been like recently.
This affects each daily goal, as well. If you play in a sports team on Wednesday nights and get lots of steps those days, your Wednesday average will be higher than other days. Exist will create a goal for you, then, that will be higher on Wednesdays than it will on other days. This makes sure your goal is always as appropriate as it’s based on your existing behaviour.
I tend to get number fatigue really easily, so aiming for a set goal every day didn’t motivate me for long at all. One thing I really enjoy about having a new goal created for me each day is that I need to check Exist to see what my goal is. The simple act of checking my goal is a good reminder to be more active or productive.
With just RescueTime, mood tracking, and an activity tracking device or app, you can get a lot of useful data. Exist connects to other service like Twitter and last.fm as well, but just a few data points are enough to start seeing insights and correlations that will help you improve your work/life balance.
You can try it yourself with a 14-day free trial (note: we start you off with a set goal and switch to averages as goals once we’ve collected enough data).
Trello is the first task manager that’s really clicked with me. It’s a great, simple system for tracking things that need to get done across various stages of progress (by default “To Do”, “Doing”, “Done”). There are other apps that do similar things, but Trello just nails the experience. I love it. If you aren’t familiar with it, you should check it out.
Trello is great, until the very end when it isn’t.
The experience of going back and looking over what I’ve done is the one part of Trello that isn’t so great. Things get really cluttered unless I archive cards when I’m done with them, and then they just kinda disappear. While I can go back and review a list of the archived cards, it’s buried and basically just looking at a big unsorted pile. That’s OK. If I had to choose, I’d much rather have Trello focus on the process of getting me to the finish line than looking back.
But I still want to be able to look back.
Why is it a good idea to reflect on those completed cards?
One of the problems I’ve always had with to-do lists is the unsatisfying feeling they leave me with when I’m really busy. That’s when they should be the most gratifying, right? That act of marking things as “done” feels good for a minute, but then that feeling gets shoved aside as I look back at the ever-growing backlog behind it. Going back and reviewing accomplishments helps maintain a sense of progress, even if my to-do list never gets any shorter.
It also gives me an opportunity to ask myself if I’m devoting time to the correct things, or if there are other things I’d rather be getting done instead. It really helps draw the line between being productive and just being busy.
What can we do about it?
RescueTime has highlight event logging, and some of the highlight events I was manually entering were similar to the Trello cards I was completing. If I could just automatically log a note whenever I put a card in the “done” column, I’d save myself some manual effort. Luckily, Zapier makes this really easy. I was able to connect my Trello account with RescueTime, and log a highlight event whenever I completed a task in Trello. I had to fiddle with the filters a little bit to target just the “done” column, but once I figured that out it was fully automatic.
Now I’m tracking events on different boards for my work and personal to-dos. Reviewing my highlights helps me see what I’m getting done and how balanced I’m being. Am I spending too much effort on work at the expense of personal tasks I need to get done? Or is it the other way around? That used to be a really hard question for me to answer and now it’s so much more visible. It also keeps me more organized because I know that if I use Trello, I’ll save myself some typing later when manually updating my highlights list. The two systems compliment each other really well.
How to automatically log a RescueTime Highlight event when you complete a task in Trello
The quick and easy version (recommended):
Zapier can walk you through the whole setup process. This requires a Zapier account, obviously, but they’re awesome.
The step-by-step version:
You should use the guided zap version above. The detailed steps are listed here in case you have problems with the guided version, or just want to understand exactly what’s happening.
- Make sure you have a Trello board that you are using to manage your daily tasks
- Make sure you have RescueTime Premium (which you will need to log highlights)
- Make sure you have a Zapier.com account
- Log into Zapier.com and click “Make a Zap!”
- Choose Trello as the target app and “New Activity” as the trigger
- Choose RescueTime as the Action app and “Create a Highlight Log Entry” as the action
- Click continue and verify your accounts
- Under “filters”, choose the board you are using for your tasks
- Make sure the “List” filter is set to your “Done” column
- Set two custom filters, the first is “Data List Before Name” (Text) Does Not Contain “Done”
- Second custom filter: “Data List After Name” (Text) Exactly Matches “Done”
- Set the Highlight event params. Date should match up with the Trello “Date” field, “Description” should be “Data Card Name”, and “Highlight Type Label” should be set to something descriptive of the tasks on that Trello board. “To do”, “Personal Task”, “Work item” for example.
- Test the zap, you should immediately see your highlight event logged on your Highlights page in RescueTime.
- Name the zap and save it.
That’s it! I’ve found this to be a big help. Give it a shot a let me know what you think in the comments!
Several weeks ago, I stumbled on this video of Linda Stone speaking about what she calls the Essential Self, which is a way of thinking about personal data and how people should interact with it at a sensory and emotional level. I was really intrigued by the idea. Essential Self technologies are, in her words:
Passive, ambient, non-invasive technologies are emerging as tools to help support our Essential Self. Some of these technologies work with light, music, or vibration to support “flow-like” states. We can use these technologies as “prosthetics for feeling” — using them is about experiencing versus tracking. Some technologies support more optimal breathing practices. Essential Self technologies might connect us more directly to our limbic system, bypassing the “thinking mind,” to support our Essential Self.
This is a somewhat different perspective than that of the Quantified Self movement, which places emphasis on analysis and reflection of personal data. I’m generally on Team QS in this regard. Numbers are good, right?. The more data you have about something, the more opportunities to understand yourself at a deeper level. Right?!
Still, there’s something I really like about the idea of bypassing the analysis and skipping to the benefits that hopefully will be the result of the Quantified Self-flavored reflection. Digging through ever-growing piles of data searching for meaning has it’s drawbacks. Mainly, not everyone wants to be a data scientist. It can be daunting to learn how to think about your life in such a clinical context, both from a skills perspective (learning statistical analysis), and simply because it can feel really unnatural to think of yourself as a bunch of rows on a spreadsheet when that obviously can only represent a sliver of who you actually are. Also, I LIVE this stuff and I find it difficult to carve out the time to dive into my personal datasets and do some proper exploration (although its one of the most satisfying things when I do manage to find the time). I think this is one of the reasons many self tracking products fail to stick with people. They’re neat, but not enough to justify the effort to keep using them.
In many ways, I see the ideas around the Essential Self (as far as I understand them) as a progression of the Quantified Self, or at least something that is layered on top of QS. They attempt to sidestep the analysis and focus on creating a meaningful connection with the user at a purely emotional or sensory level. I think it’s an exciting idea, and really starts sounding like the future. You’re not building tools that people use to methodically figure things out. You’re giving them something that feels like super powers.
Here are some examples:
- You sleep better than your co-workers because f.lux helps you avoid disrupting your circadian rhythms while you work.
- You have a magical sense of direction because you wear a North Paw anklet.
- Your posture is fantastic thanks to the Lumoback you’re wearing that nudges you to sit up straight.
While watching that video, my brain started racing with thoughts about RescueTime in this context. Could I have an ambient sense of how my work day is going without constantly disrupting myself to check some numbers? Often, the exercise of pausing what I’m doing – however briefly, checking my stats, then understanding what they mean is counterproductive to the state of flow that I’m in.
With an Essential Self perspective in mind, I hacked together an alternative that uses a colored LED to keep me persistently aware of how productive my online activities had been. It fades between bright blue for productive activities and red for distracting ones. Here’s what it looks like:
It’s a neat first attempt, but I don’t think it totally succeeds. There are a few reasons why.
The experience of a real-time monitor felt a little bit like having a personal trainer. This is really awesome sometimes, but imagine if you had a personal trainer staring over your shoulder at all times? I felt an uneasy pressure when the light would fade to red.
It was too “right now”, and ignored previous aspects of my day. I oddly found myself resenting the red light, especially later in the day after I’ve already gotten a lot of work done. I think the problem was that the interval was too short, and perhaps should take the overall productivity pulse for the current day as some sort of weighting mechanism.
The red light feels like a slap on the wrist. I’m not huge on things that wag a finger in my face when I’m doing a bad job. I much prefer positive reinforcement. I may experiment with some other color schemes that prioritize communicating a state of focus. Perhaps using brightness instead of color.
The good news is, some of those objections can be address with a relatively simple design iteration. So I’ll keep investigating and see if I can make it feel better.
But in a way, this still seems like QS-style reporting. I’m swapping colors for numbers, but I haven’t fundamentally ventured outside of the realm of what most Quantified Self apps attempt to do. One thought I’m curious to explore is seeing if I can pulse the light in a way that encourages a calm breathing pattern when in a state of focus (addressing another idea from Linda Stone, email apnea). In that case, the light would become something that not only informs you about a state of focus, but actively takes a role in supporting you while you’re in it.
This is still very much a nights and weekends project for me, but I think it’s an interesting idea and wanted to share. What do you think about an ambient monitor to help you stay focused and productive? Or what about technology’s ability to communicate with you directly at an emotional or sensory level? Have you seen any other examples of this that you really like? I’d love to hear your thoughts in the comments.
I’m pretty sad that I’ll be missing the 2014 Quantified Self Europe Conference this weekend. From what I can tell of the lineup, it’s going to be a great conference that’s full of insights, sharing ideas, and learning about all the amazing ways that people are looking internally to understand themselves better. Seriously, if you’re there, I’m jealous. Have a fantastic time. If not, and you’ve never been to a quantified self event, consider checking out a nearby meetup.
Not to mention Amsterdam looks absolutely amazing.
I suspect many people will come away from the conference energized and inspired for some new tracking projects, so I wanted to offer up a few tips for how to effectively make use of the data in your RescueTime account. Of course, we try to make the default reports as informative as possible, but here are some power-user moves that should help you dig a little deeper.
A number of these are premium features, but if you are on the free plan and would like to try them out, you can click here to upgrade at a 25% discount until the end of May.
1. Export your data to a spreadsheet.
Most of the reports can be exported to a .csv file (premium version only). This lets you bring them into your spreadsheet program / database / visualization engine of choice to do some further analysis or compare with other data sets. I used this extensively for a project I did last year comparing my sleep and physical activity levels to my time spent in email and software development.
Just look for the green “Export / Share” button underneath the graphs on the reports.
2. Use time filters to compare your time in different periods
One of the most straightforward explorations you can do is to see how your computer time looks like when you’re working vs. when you’re not. That’s pretty easy to do with time filters in RescueTime. You can restrict your time in a given period to specific days (“weekends” for example), or specific times of day (“After lunch”).
You can find the time filter controls on the date picker widget that is available on most reports. There are a few default time filters available for people on the free version of RescueTime. The premium version of RescueTime allows you to customize the filters and create new ones.
Some ideas to explore:
- How do my weekends differ from my weekdays?
- What types of activities do I spend more time on in the morning? what about the afternoon?
3. Use the RescueTime Data API
If you are comfortable with a scripting environment, you can request data from RescueTime programatically as JSON or CSV data. This can be great if you have already written another tool to consume data from another service.
The API is available to people on both the free and premium version of RescueTime, and will allow you to get the same data that you can find from most of the reports on the website.
Check out the API documentation to learn more.
4. If you are trying to use your data for behavior change, have a look at our integration with Beeminder.com
Beeminder is an interesting service. They allow you to state a goal that you’d like to stick to (“Less than 30 minutes a day on Reddit.com”, for example), and they will track your progress for you and give you daily updates on how you are doing. But if you fail to stick to your goals, you will “derail”, and getting back on track will cost you money. It’s a form of commitment device and it can be a really helpful incentive if you have a habit that you would really like to break.
You can read more about Beeminder and RescueTime here.
5. To find correlations between your RescueTime data and other sources, use Zenobase
Zenobase.com is an analysis tool for personal time-series data. In other words, anything about you that can be expressed as data points that occurred at distinct points in time. I’m going to be honest, it has a learning curve, but once you get over it, you can do some really interesting things with it. You can do simple exploration of your data in ways that other services may not offer (for example, in RescueTime there’s not a way to see a histogram of the time you spend per day, normalized to the nearest hour). You can also mash up several data sets and look for correlations.
Use RescueTime alerts and Zapier to automatically log milestones about your time in an online spreadsheet
RescueTime’s alerts are highly configurable and can let you know when you have spent more than a specified amount of time in a productivity level (example: “all productive time”), a category (example: “design and composition”), a specific application (example: “microsoft word”) or a website (example: “mail.google.com”).
These alerts are delivered by an email or popup on your desktop, but they can also be used to log when the threshold for that activity was reached. You can connect your RescueTime account with Zapier.com and whenever an alert is triggered, you can insert a row in a Google Spreadsheet, or mark down the timestamp as an event on a calendar. Zapier has interfaces for a lot of applications, so you aren’t limited to spreadsheets or calendars. There are many other places you can log your alert data as well.
Check out our integrations page to learn more.
Good luck with your tracking projects!
I hope these tips are helpful. If you’re looking for some more inspiration on things you can do by tracking your time, check out these talks from past Quantified Self events. If you come up with some interesting insights based on your RescueTime data, let us know. I’d love to hear about them!
One of the cool, helpful new features on RescueTime’s new website is the availability of Day Timers. Users can activate a timer to give themselves a stand-alone, heads-up display of cumulative logged time and their current productivity ranking for the day. This appears in the form of a re-sizeable browser window. Personally, I activate the timer and then put the window in back of the other browser tabs and application windows I am using. I use this timer to keep track of my work time for the day and check in periodically to see where I am. I find that this provides both confirmation of work done and motivation to reach my daily goal. I also use the timer to schedule breaks, taking some time after every hour of completed work for coffee, other tasks, or a short walk. This keeps my mind fresh throughout the day. One additional way of using Day Timers is to keep track of time spent on particular activities. If you are looking at an activity in your reports and activate a timer, it will show cumulative time spent on that specific application or website. This is a good way to monitor use and be aware of how close you are coming to your positive and negative productivity goals. It is often surprising to me how my experience of time spent on something differs from actual time spent.
How to use Day Timers
Timers can be opened from any report, just look for the green button that says “Day Timer”. You can create timers for applications, categories, productivity levels, or goals. The timers will update continuously throughout the day, so you can just leave them open in a spare corner of your screen or a second monitor and watch your time add up.
We’ve been using these timers internally for several months, and we’ve gotten some great feedback from some of our users (thanks to Joos Buijs in particular!). Check them out, and let us know what you think!
Stop beating yourself up about “all that time” you waste on Facebook, it’s probably less than you thinkPosted: November 6, 2013
When I tell people about RescueTime and what it does, one of the most common things I hear is:
“Oh wow! I don’t even want to think about how much time I waste on Facebook!”
When people have actually been using RescueTime for a little while, I often hear something different:
“Ya know? I really thought I spent more time on Facebook than that!”
Two things jump out at me when I hear this. First, many people think they spend more time on Facebook than they actually do. Second, they seem to feel guilty about it. The first observation makes the second one sort of sad. I don’t want anyone to feel bad about themselves, and certainly not for something that’s not really even true!
That’s why I LOVE telling people about the following study.
Rey Junco, a professor of library science at Perdue University, recently investigated how students’ estimates of their time on Facebook differed from the actual time they spent on the site. Since many studies that focus on social media usage rely on self-reported data, this is a pretty important thing for researchers to understand. He asked test subjects to report how much time they spend each day on Facebook, then used RescueTime to monitor their actual time on Facebook. The results were very surprising.
“students significantly overestimated the amount of time they spent on Facebook. They reported spending an average of 149 minutes per day on Facebook which was significantly higher than the 26 minutes per day they actually spent on the site (t(41) = 8.068, p < .001).”
When I first read these results, I did a double take. Subjects were overestimating their Facebook time by 473%. Four Hundred Seventy Three Percent?!?! It seems almost unbelievable. In his blog post, Rey covers some factors that could have affected the data, but it seems like the gulf between the estimate and the actual time on Facebook is real.
It’s interesting to contrast that overestimation with something else I’ve noticed. Many people fairly drastically underestimate the amount of time they spend in email. According to a study from last year by the McKinsey Global Institute, up to 28% of the average desk worker’s week (or around 13 hours) is devoted to managing email. While it’s necessary for work, it’s often a distraction, due to its tendency to pop up every few minutes on someone’s screen while they’re trying to focus on other work. People are usually not that great at accurately adding all this time up, and that’s not even taking into account the refocusing time that comes when trying to get back to the original task that the email interrupted.
I wonder if there isn’t some sort of guilty pleasure factor at work there? For whatever reason, do people’s negative judgements about their time on Facebook (or Twitter, or Reddit, etc…) cause whatever time they DO spend to be over-inflated in their minds? On the other hand, email doesn’t have this problem, because very few people think about email in those terms. That’s just a theory of mine, which is partly based on my own experience, but I’ve seen a lot of anecdotes that back it up. If it’s actually true, it’s sort of a bummer. It means people have a general tendency to beat themselves up over things that feel too much like an indulgence.
To me, this is a great illustration of the awesomeness of RescueTime. Having an accurate, real record of how your time is spent can totally change your perspective. When you’re sitting at a computer all day, it’s too easy for it all to just blur together. With a real understanding of how little time I actually spend on sites like Facebook or Hacker News, I’ve been able to let go of any negative judgements I had about them.
Last month, I spent some time digging around with two big personal datasets of mine – my RescueTime logs and the information about my physical activity and sleep that I’ve collected with my FitBit. After comparing over 8.5 million steps and 5,000 hours of my sleep with around 7,000 hours of my RescueTime data, I noticed that my physical activity seems to have a generally positive effect on how I spend my time on the computer. Or it’s the other way around, I’m not quite sure. But there definitely seems to be a link between the two.
Daily step count vs. meaningful work
The first thing I looked at was the number of steps I’ve taken each day for the past two years. I compared it to the amount of time I spent on the computer, and what activities I was doing while on the computer. On days when I take more steps, I tend to spend a greater percentage of my time on the computer writing code. For me, software development is an activity that I feel is pretty meaningful, and I’d rather spend more time on it than, say, meetings or email. I’d also like to be more active, so it’s really great to see that days where I walk around more don’t seem to hurt my work productivity.
It’s not really clear to me which one of those things influences the other. Could be that more physical activity makes it somehow easier for me to focus? Or it might be the other way around. A solid day’s work makes it more likely that I’ll be motivated to get out and get some exercise. Or, there could be some unknown factor that’s influencing both of them. It’s still interesting, nonetheless.
Also interesting, it seems like I shouldn’t get too crazy with it. On days when I get more than 12,000 steps in a day, the percentage of software development time goes back down.
Sleep vs. Time on the computer
I also found that I seem to be more focused on days when I get more sleep. Focus is a hard thing to measure, and this isn’t a perfect metric, but I looked at the amount of time I spend writing code (something I’d like to be doing more of) vs. the amount of time I spend on email (something I generally try to minimize). When I get less than six hours of sleep, things are pretty much even. As I get more sleep, the percentage of time in email goes down, and the time spend on software development goes up.
What does this mean?
The really cool bit about these observations is they suggest that it’s not only possible to balance good amounts of physical activity with a productive workday – they may actually reinforce each other. Another RescueTime user saw similar effects on his sleep last year. He summarized the results in this guest post.
To get these two datasets together, I used the RescueTime API and John McLaughlin’s fantastic FitBit-to-Google Docs script that I found on the Quantified Self website.
Have you ever found an interesting link like this between your physical activity and some other metric? I’d love to hear about it.