BLOG | NOVEMBER, 2009 Measuring "Busyness"by Chris
In my last post in what is becoming series on measurement, I started off with my hypothesis that our company is like an ecosystem, "comprised of many areas of unseen activity" in addition to the sort of seen activity you'd expect (sales, individual projects, relationships, etc.). So, in trying to verify my hypothesis, I've been gathering data representing all kinds of unseen and unmeasured activity to see how it relates to the big picture as I've understood it so far. I started with looking at our blogging activity over the past three years and noticed that the months where we posted less loosely corresponded to what we tend to think of anecdotally as "busy" times for our company. That made me wonder- how else could I measure "busyness"? Looking at sales data wouldn't quite do it, because those numbers would correspond to the beginning of a project, so the trendline of sales may not match up exactly with that of volume of work over time. However, looking at the volume of communication using our internal project management system might help me discern at trendline for "busyness."
First, let me describe the metrics shown in the graph above. The vertical axis represents the number of individual logs posted by Newfangled employees to our project management system (these might be messages checking in on production progress, updating the task description, asking or answering questions, posting files, etc.). As you might imagine, a project of even minimal complexity would have many such messages, particularly as we have people collaborating on projects who work in separate offices. More obviously, the horizontal axis represents months over the past two years. The first thing I noticed was the dramatic increase between August (1191 logs) and October (3132) of 2008. To put the number in perspective, October's total averages to about 136 logs posted per day (there were 23 business days that month)! That's in addition to all the phone and in-person conversations that occur here each day. In fact, we haven't had a month with that level of communication volume since. I cross referenced this number with our sales from October of 2008, and it turns out that, in addition to the two new projects we signed that month, we also did 57 different new functionality upgrades to existing client sites. That was the highest number of upgrades in one month for the entire year. With that in mind, 3132 project logs makes much more sense. We were busy.
However, I then thought to cross reference the lowest month shown, June of 2008, with the sales from that month to see if they were correspondingly lower. While the number was less (3 new projects signed, 43 new functional upgrades), the overall communication volume wasn't proportionate. It should have been a higher number if there was a direct correlation. Especially since the previous month, May of 2008, we'd signed 7 new projects and done 55 functional upgrades. There would certainly be some bleed from May to June in terms of project communication. While October, 2008 is the peak, the numbers tend to level off in the mid-2000's after that, though there is another peak in October, 2009. I don't think sales are the complete explanation for this, but I do have a couple of ideas about other factors that could. The first factor is the number of employees using the system. Between May and October of 2008, we hired 4 new employees- three Project Manager Assistants and one Resourcer. These roles were essential to a new system we'd been establishing to make sure our service remained excellent while the complexity of our work increased. The Project Management teams use this system constantly to communicate and log project progress, and the Resourcer is constantly checking in on every task to watch progress and utilization. No wonder the number jumped so drastically! The other factor helps to explain the pattern, in that we are again seeing a jump this October despite not having a corresponding growth in personnel- that factor is the pre-holidays rush. This happens every year, where existing clients and new prospects are eager to get work completed or scheduled before the holidays and especially the new year. There's something about these calendar landmarks that put the pressure on, not to mention the common need to allocate funds before the end of the financial year. This was an interesting exercise. Little by little, measuring these "peripheral" data sets is giving me a much better sense of the big picture. |
All this data eval is cool, but I'm wondering what comes next. What is the practical application of this kind of measurement? I understand what you might do with web stats, but what you're looking at more vague. I don't mean this as a gripe- you're talking about pattern recognition so I'm curious about what you hope to gain from finding new pattersn.
I count ten screens in that photo.
Another way to measure the "busyness" of your company would be to plot the timesheet data by the person or category of work. With a very large enough sample of time, you would see interesting patterns emerge.
@Alex, Great question, and in all honesty, I'm not totally sure at this point. I was inspired to do this after reading a New Yorker article about financier Martin Armstrong, who collected massive amounts of financial data and began to discern a rhythmic pattern in it that seemed to be above and beyond the usual influencing factors that analysts had looked at (political conflict, commodities cost, weather, etc.). While Armstrong's approach has been seriously questioned since his "heyday," I was intrigued by the principle. Since then, I've been interested in how that kind of inquiry might affect my own apprehension of the big picture of our company.
You're right that there are two kinds of measurement- one being the kind that we and most of our clients do routinely using tools specifically created for web analytics. The other is the kind that I've been talking about lately- looking at other kinds of company-specific activity and plotting it over time. That kind is much more of an exploration. The specific applications are hard to know at the outset, but there have been many decisions that we've made as a result of this kind of inquiry. I'm sure I'll post anything of that nature.
@Ted, yes, we have many screens in the office.
@Raphaelle Ri, Good point- we do this a lot for resourcing purposes, but I should take that data and overlay it with these other graphs to see what correlations are there.
I am going to read all your posts on data, but I wanted to shoot you a quick note. First, great posts, in general. Second, is there an integrated service where I can automatically track followers, friends, pages hits, Tweets, etc.? Thanks.
Robert,
Thanks for the compliment. How did you find this post?
As for an integrated service, I really don't think so- at least not one that is as comprehensive as you describe. What I would recommend is using Google Analytics + Google Reader (to track mentions/alerts/tweets/etc.). Those two programs are more than adequate for my purposes. We also have a proprietary measurement dashboard built around the Google Analytics API (see my newsletter on coping with complexity) that merges Google data with our own trackers.
Chris
Chris,
As always, I found your post to be very insightful.
If you read any of the "top" business books there is always one common denominator - successful organizations, no matter what the size, are driven by numbers. This stat crunching leads to predictability, and ultimately allows management to use quantifiable data to make educated decisions.
While I do believe some can fall into the trap of paralysis by analysis it really looks like you are constructively using the data to refine your systems.
Keep up the good work,
Dave
Mediacurrent
Dave,
Thanks for reading! You're absolutely right in that the pitfall of 'investigating' data in this way could be unproductive analysis for the sake of analysis. That's definitely something I'm aware of in myself- I love doing this kind of thing, but I need it to be motivated by the bottom line at least insofar as it occupies me while at work.
Chris
Really, really interesting stuff. You guys are always a dependable source of inspiration.
Maggie,
Thanks for the compliment! We try to keep ourselves inspired, too.
Chris
Chris... I somehow came across your Tumblr page. I was probably searching #business or something like that. I use Google Analytics. I would love to be able to track all of the stats comprehensively; it wouldn't speak to the quality of the interactions, but I think it would be interesting nonetheless. Thanks.
Robert, Ahh- that might be the first time I've heard of someone coming to post on our site from my Tumblr page. I'm glad to hear it. Agreed on having a comprehensive system- that's really what we're after with the tools we've built: giving our clients the ability to cope with complexity. Using GoogleReader to collect mentions from all over the 'net is a great start, though. I'd set up those feeds asap. Thanks for reading!