Everyone’s had that moment…
You’ve been working on a project that’s humming along really well, and you’re nearing the point where you can see the end of it… then boom! All of a sudden everything grinds to a halt, and you run smack into a brick wall that keeps you from bringing it across the finish line. Try as you might, you can’t seem get things rolling again. Distractions become more distracting, and the excuses and justifications start to form an unsatisfying pile where you’re finished project should be.
It’s a crappy feeling. I know because I’m in the middle of one right now. It’s frustrating and doesn’t make any sense, because I’m working on building something that I’m really excited about.
I’d like to pose a question to you
You seem like smart folks, and I know I’m not alone with this problem. How do you break down that wall that’s blocking you from finishing up the last little bit of a project? What are your best productivity hacks or strategies for breaking out of a rut?
Please share in the comments!
The RescueTime productivity score is a way of looking at your time based on the productivity level you’ve assigned to the various activities that you’ve logged time for. It’s a way to boil your time down to a single metric, so you can get a quick understanding of how you’re spending it without having to dig into the more detailed reports.
But, it sometimes generates a bit of confusion, so I wanted to dig into it a bit and see if I could clear up some of the misconceptions.
How exactly is the productivity score calculated?
First off, it helps to know exactly what that number means. RescueTime lets you assign any activity or category a productivity level. There are five options, ranging from “very distracting” to “very productive”.
If you assign a productivity level to a category, it will filter down to all activities in that category, unless you explicitly add a productivity level to an activity, in which case it will override the category productivity level.
Your overall productivity score is calculated as an average of the time spent on each productivity level. If you spent all day on activities marked as “neutral productivity”, you’d have a 50% productivity score. If you spent all day on something marked as “Productive”, you’d have a 75% productivity score. All day in activities marked “very productive”, you’d have a score of 100%.
Misconception: “My productivity score should be as high as possible, right?”
- The average productivity score across the entire RescueTime user base is 67%. While obviously I haven’t talked to all of them, I can tell you these aren’t a bunch of slackers. They’re smart people who are very thoughtful about how they spend their time.
- Around the RescueTime office, we’re averaging around 79%. We think about this stuff a lot, and I think we’re pretty well optimized for productivity.
Occasionally I see comments from users that suggest that they think they should be shooting for a productivity score of 100%. I can understand the sentiment, if you’re really efficient and getting all my work accomplished, it seems like the number should reflect that, right? Honestly, if we were rebuilding RescueTime from scratch, we might choose a less charged label than “productivity”. But the bottom line is that the productivity score doesn’t tell you anything about what you actually produce. It’s simply a number that can give you an interesting baseline of where your attention is, but doesn’t tell 100% of the story. It’s a way to understand your patterns, and not a prescription for how you should be spending your time. Moreover, there are some pretty compelling reasons why you shouldn’t shoot for a super-high productivity score.
Let’s look at another metric for context, shall we?
If you were tracking your Body Mass Index, you might want it to be lower, but you’d never want it to be zero! Through a lot of research, there are some accepted guidelines, but the scale itself doesn’t make an implication about an absolute measure everyone should shoot for. What it does, however, is give you a number that becomes important context for your physical activity. If you’re exercising more, you’ll likely see your BMI drop. If you’re eating a lot more, you might see it rise.
So, what’s the “healthy” range of productivity?
Since how you spend your time on the computer hasn’t received the same amount of scientific scrutiny as BMI, there isn’t such a clear recommendation. It’s really contextual. What may be the ideal mix of activities for you might not be for someone else. It’s also important to remember that just because something that’s classified as “distracting” doesn’t mean it’s not valuable. But it’s a good generic measure of where your attention is focused.
Some tips for using your productivity score
Change it to suit your needs: It’s important to remember that we try to make RescueTime as customizable as possible, so you can change the productivity levels to match what YOU consider to be productive or distracting.
Don’t think of it as a judgement. So many factors enter into your time that it’s impossible for a system to say definitively how you should be spending your time. The best we can do is give you a measure that you can use to make your own judgement. Work-life balance is different for everyone.
It will fluctuate, and that’s ok. The changes mean just that, something has changed. Not necessarily good or bad. See how it changes over time and you’ll have a better understanding of your natural patterns.
Downtime is good and healthy. No one should be expected to be 100% productive all the time. In fact, there’s a big pile of science that says it’s bad for the quality of your work, your creativity, and your well-being.
The score is a helpful metric when you’re trying new things. If you’re trying to optimize the way you work, the changes to your productivity score baseline can give you an objective measure of the impact of your changes. For example. I tried an experiment and turned off all notifications on my phone and computer. Just that change alone caused a 9% rise in my productivity score.
Hopefully that helps paint a clear picture of the productivity score and how we think it can be valuable. If you have any questions or thoughts, let us know in the comments!
For the past week, I’ve been taking an hour or so at the coffee shop near my office to knock out most of my email and communications. Then when I get back to the office, I stay out of email as much as possible. The experiment has made me realize that shaking up my work environment can help me stay more focused and productive. It’s sort of like the concept of Timeboxing but with more of a physical twist. “Location boxing” seems appropriate.
Getting your head in the right place for a new activity is hard
There are four main types of thinking I need to do in a typical work week:
Design-thinking: Visual design and thinking about the user experience
Coding-thinking: Building new features, solving technical problems
Business-thinking: Internal communications, interviews, and helping out on some sales calls
Support-thinking: Bug fixes, and responding to questions from RescueTime users
It’s next to impossible to do any of those simultaneously and be effective. You have to get into the correct mindset for each one. Design and coding require substantial periods of “maker time“, while support, sales, and communications generally involve a lot of rapid-fire bouncing around from task to task.
Timeboxing is a great idea, but I’ve found it really hard to stick to. Maybe I’m a little too scatterbrained, but my meticulously planned out schedule can easily be derailed by things like email, which can swoop in unexpectedly and steal hours from my day. Plus it’s just hard for me to flip the mental switch between, say, customer support mode and design mode.
The answer? Restrict activities to a location
Altering my physical environment seems to help me switch activities, for a couple reasons…
I can find the right place for the task at hand
I find coffee shops a little distracting when I need to really focus hard on a single task, but they’re great for a series of short, repetitive tasks. I get to enjoy a latte while I churn through emails that I’d otherwise pick at throughout the day. I don’t code or design very well without a second monitor, so that focuses me even further. My 13-inch laptop screen is pretty well suited for communications, and not a whole lot else.
The physical shift becomes a “switching ritual” that signals my brain that it’s time to start thinking differently.
There’s something about the change in surroundings that seems to make it easier to quiet down whatever gears are still spinning from the last activity and re-focus on a new task.
You can’t always move to another location
It’s not practical to go to a different physical location for each task. You’ll probably get the most benefit if you can identify a single activity that has a high potential for derailing the rest of your day and banish that to another location from your other work. Sometimes, though, you just can’t get away. Here are some other ideas for altering your environment:
- Have different desk configurations. Try moving your monitor from one side of the desk to another as you shift tasks. Maybe a totally clear, uncluttered desk works better for certain activities, while a desk full of pictures and knick-knacks works better for others. The act of switching configurations might be just enough to jog your brain into a different mode. It’s sort of the “hyper-functionible workplace” version of this. For example, I have an adjustable-height desk, and I usually do my coding-thinking while standing, but designing while sitting.
- If you work from a laptop, you can almost certainly find an unused space in your office that you can switch to without being too disruptive.
- If you can’t change your environment, just get out of it for a while. Go for a walk, or do anything else to signal to your brain that it’s time to start acting differently.
Have you ever gotten any benefit from location boxing your activities? I’d love to hear how. Let me know in the comments.
I’m a graduate student studying and researching psychology so any time I want to understand something better I turn to data. As long as you collect it honestly and in a methodologically sound manner, data don’t lie. Good science is built on good data and one of the most important experiments I’m involved with isn’t funded by any grants and doesn’t have a team of scientists working on it — it’s the ongoing study of the way I work and live.
Every year I try to take a look at the data that best describes my work habits over the past 12 months to better understand whether I’m doing what I’ve set out to do. I’m trying to find inefficiencies, misguided attention, and other gaps so I can make sure I’m doing my best work as much as possible. I happen to work for myself while going to school full-time, but regardless of the details of your work situation you probably want to be operating at peak capacity as much as possible. Conducting an End of Year Review is a great way to recalibrate as you move into the new year.
The first step of any End of Year Review is deciding what questions you want to answer. This is partially dependent on the data you have available but some possible examples include:
- How am I using my time?
- What do my actions say about my priorities?
- Have I left important but non-urgent projects by the wayside?
- How much time do I spend doing email?
- What have I done in the past year that I want to make sure I never/always do again?
The answers to these (and I’m sure countless other) questions can provide very benficial information for how you’ll try to conduct yourself in 2013. The next step is to look at the data that will help you answer these questions accurately. While many people do End of Year Reviews that are nothing more than pure mental reflection on the past 365 days, I’m always skeptical of my ability to remember things accurately. One thing being a psychology student has taught me is to be intensely skeptical of my memory. We aren’t nearly as good at remembering things as we like to think. Go with the hard data whenever possible.
Sources of Data
Obviously, RescueTime is a great source of data if you’re interested in knowing how you spent time at your computer. This is the first place I start with any sort of review on my work habits. There’s nothing quite like the shock of seeing you spent over 24 hours on time wasting activities over the course of several weeks to serve as a serious wakeup call.
Other than RescueTime, other great sources of data include; your calendar, daily journal or log, digital pictures, financial information, saved text messages, archived information from task management software, personal writing of any kind, etc. All of these sources help you see where you spent time, attention, and energy.
As you look through your calendar you may remember the awesome conference you went to last February which reminds you to follow up with that promising business lead. Looking through a year of photos will make you realize you’ve accidentally distanced yourself from some people important in your life (work, personal, or both). You may look at a year’s worth of saved work files and realize the big project you told yourself you’d work on last year is still sitting forlornly in the “unfinished” file.
Using The Data
Once you have all this data and have done any analyzing you need to do to draw some conclusions (more time on work that matters, less time on Facebook, call Steve, more writing in the morning, less computer on the weekend, etc.) how do you move forward?
First, let me point out that a potentially great first step is to decide to spend a little bit more time and effort recording more data on yourself in 2013. The better the data you have, the more you can learn about what does or doesn’t work for you.
Assuming you’re happy with the data you collect, my favorite way to make changes is to focus on one major change for 30 days. For example, when I did my most recent End of Year Review I realized I was spending way too much time on mind-numbing websites. I decided that I’d severely limit the amount of time I allow myself to mindlessly surf for 30 days. At the end of that period I’ll re-assess how the past 30 days went and whether I want to a.) continue with the experiment, b.) modify the experiment, or c.) go back to the way I was before.
Obviously, you can make changes in your life without collecting data on yourself first. You could also “do science” without collecting data — but nobody would take you very seriously. Why not apply the same standards that ensure good science to the way you make changes in your own life?
As a health professional, I have an obvious interest in the relationship between lifestyle habits and their impact on health. As I specialise in the delivery of workplace health programs, this interest extends to the link between lifestyle, health and work productivity.
As I am someone who likes to track and monitor everything, I decided to use some of the data I capture on myself to conduct a basic case study. The goal was to see if there was any relationship between my sleep habits, activity throughout the day and work productivity.
Sleep - I used the FitBit Ultra to track my nightly sleep. It does this by measuring movement. While not completely accurate, it provides a good indication and as the same method was used for the period of my analysis it offered standardisation.
Activity - I also used the FitBit to monitor my steps and activity throughout the day. However, this analysis focussed on my activity during work hours and did not include my morning run. The reason being is that my run is daily and I was more interested in the incidental activity I undertake during the day.
Productivity – Being an office based worker, productivity is traditionally difficult to measure. However I have used RescueTime for quite some time to monitor what I am doing on my computer and rating my level of productivity. I used the daily efficiency rating in RescueTime as well as looking at both morning and afternoon efficiency independently.
I collected all this data over a two month period and analysed only work. I then analysed the data using SPSS to determine statistical relationships.
So what did I find?
The key findings that were statistically significant (at a 0.05 level) included:
An inverse correlation between how many times I awoke during the night and my productivity. This means that the more interrupted my sleep was, the less productive I was during the day. This relationship was also true for the number of hours worked, so the more times I woke during the night, the less hours of work during the day.
A correlation existed between the amount of sleep and productivity. I was more productive at work following a longer sleep.
Not surprisingly there was also a link between the length of my work days and my productivity. So the longer I worked, the less efficient I was. This is of concern for those longer work days (9 hours + in my case).
The relationship between sleep and morning and afternoon productivity was similar. This indicates that poor sleep impacted my whole day, not just the afternoon when the tiredness may have been exaggerated.
My productivity in the morning and afternoon was closely related. This indicates that you generally have good or bad days, as opposed to just an unproductive afternoon.
Interestingly, there was no strong relationships between daily activity and productivity. However, I am probably not the best subject in this case as I have minimal variation in my daily activity levels.
What does it mean?
While this was only a short term case study with one subject, it did highlight the importance of health and lifestyle factors on your work productivity. It is also worth noting that I am of good general health and fitness, so the impacts on productivity would likely be more dramatic for people of poorer health.
It was interesting that the number of times I woke up during the night had a greater impact on my productivity than the amount of sleep I had. However, this is to be expected given that the benefit of sleep is largely associated with those deeper sleep stages, and regular interruptions limit your ability to spend time in these stages, regardless of your sleep volume.
My average time spent sleeping each night was 7 hours and 14 minutes. However, I appeared to be most productive when I obtained around 7.5 hours, with a noticeable decline when I slept for less than 6 hours and 45 minutes. My least productive days were associated with only 6.5 hours of sleep.
Thanks to RescueTime and the FitBit, this small case study was quick and easy to conduct. It provided me with some individual benchmarks I want to achieve in order to maximise my productivity by focussing on good quality sleep.
Build it and they will come? Performant Search brings Flexible Reports Part 1: Key Word Filtering works!Posted: November 7, 2012
Our job was to find a long term scalable solution to the problem of Searchable Time. This post discusses our search capability and some ways to use it, now that we have reliable and speedy access to this feature. There will be a follow up post presenting the technology chosen, for those interested.
RescueTime has three features that depend on what we are calling “search”, I will be presenting two of them here: using keywords and expressions as a reporting filter with the “Search” field, and the Custom Report module (the third is “hints” in projects time entry interface).
I’ve been putting “search” in quotes (though I’ll stop that affectation now) because what we’re doing here is a bit different than a traditional Google-style search. We’re giving you a way to see a view of your RescueTime history across any span of time you choose, pivoted on your perspective of interest, eg. Categories or Activity Details or Productivity, for any activity we find that matches your search request. A “Custom Report” is just a way to save a search query for repeated use. But what does this all mean?
If you take a moment and think about it, this filtering can be very powerful. If you pick a good set of keywords, and possibly some tweaking with logical expressions (more on that later), you can get a fascinating view across your history, regardless of category, productivity, or other classification that is focused in high resolution at particular project, client, or other meme that might appear in many different applications and websites. How much time did you spend dealing with “John”? or, what is my pattern of time spent in a console versus my text editor (“terminal iterm aquamacs sublime vim”)?
Consider your document names, or folder names, email addresses, chat identities, and websites as potential members of a search expression to build these reports. The search engine will also understand logical AND and NOT and nesting. The default relationship between words is OR.
Let’s consider another example: How much did the last mini-release cost us?
You’ve got a team working on a project codenamed “Piranha”. This name appears in code filenames and directories, or Eclipse project names. It appears, with a little discipline, in your email subjects. And your support ticketing and requirements tracking system. And your marketing material’s files and web pages. And your internal chat group. And your meetings entered via offline time tracker. You get the idea– we can give a total time cost of this project, with 0 (zero) data entry across your entire organization . Well, plus any time your team spent learning about piranhas on Wikipedia (pick smart project names for best results, use logical operators to help out, eg “piranha NOT wikipedia NOT vimeo). You can then save this as a Custom Report for ongoing metrics, and side by side comparison with other ongoing custom reports.
Thank you to all our customers for sticking with us and giving feedback during the iteration of this slightly magical tool. We think search is finally fully operational.
Working at a small startup can get pretty crazy. Awesome, but crazy. It’s way too easy to get pulled in a thousand different directions and end up feeling totally scattered and drained. Some would say that’s doing a startup right, but it can get downright exhausting. I felt this way recently, and I stumbled on a somewhat counterintuitive way to balance things out. I gave myself more to do. Specifically, I gave myself exactly one more thing to do. I created a weekly work ritual for myself. I started writing a “this week in productivity” blog post to add some extra content to the weekly email reports we send out to our users.
I wasn’t really trying to form a new habit, but that’s what happened, and it had some really great side-effects. Now it’s baked into my weekly routine and I wouldn’t want to give it up.
Calling it a “writing project” would be extremely generous. It’s little more than a collection of links to things that I’ve noticed throughout the week that relate to productivity. It’s blogging at it’s lowest common denominator. But it was still a challenge for me. When it comes to writing, blogging, emails, or any other meaningful typed communication I’m a complete train wreck. I fret over my word choices for hours. I over-use adjectives. I take five hundred words to say something that could just as easily be expressed in twenty. (see I’m doing it now!) Given my hectic schedule, taking some time to do something, every week, no matter what, was also a challenge.
But, once I started, some cool stuff started happening. I got a chance to step back from the chaos of my work, shut everything else off, and focus on just one thing for a while. Having a chance to get creative with it made me quickly start feeling more comfortable with writing. From a pure entertainment perspective, it gave me a chance to catch up on a bunch of blogs and websites I didn’t have time for throughout the week. And there’s just something that feels empowering about having “my thing” to do every week.
I think everyone should find their “me time” activity at work. That one little ritual that lets you retreat from the whirlwind and do something for yourself, but in a way that actually makes sense to do at work. It doesn’t need to be anything spectacular or anything, just something that makes sense for you.
It should be personal: Don’t just take on something new just because it needs to get done anyway. Give some thought to it, and find a project that you’re going to find some personal value in.
It should be sustainable: Don’t bite off more than you can chew. If you take on too much, you’ll overload yourself and end up feeling worse.
You should take some time to reflect on it: Forming a new habit is an accomplishment. Make sure you step back and look at your progress every now and then, so you can see how it’s impacting you.