measures of success

When reading business books, the reader, hopefully, takes away some great new ideas. Or has a realization that they should double down on something they are already doing. Occasionally, one comes across a book that actually reframes what you do and how you do it.

Mark Graban’s last book, Lean Hospitals which I reviewed here, had that effect on me; it made me realize that as a manager, my strength is to focus on processes and work with my team to make processes work better. Now with his latest book, Measures of Success, Mark has done the same again; this time with how we look at data and measure results.

The main argument in Measures of Success is that as managers we often are given, and collect, huge amounts of data that but that we either overact to “noise” or miss the signals that the data is giving to us because we are looking at that data in the wrong way. What Measures of Success gives us is a tool, in the form of an X-Chart and an MR chart, which allows us to view the data in a process and see the signals that the data is giving to us. Armed with these “signals” managers can then try to find out what has happened to the process to cause the signal in the first place. Because we are not chasing our tails looking for signals that’s are just noise and therefore not indicative of anything we should have the time to react appropriately when we see a valid signal.

Mr. Graban not only explains how X-Charts and MR Charts work, and how they work together, he also gives the reader exact instructions on how to create them and also why they are superior to other charts and methods of looking at data. He is particularly dismissive of targets and trend lines and provides damming evidence for both. The whole section, in fact reminds me of the Economist Roland Coase’s famous quote; “If you torture data long enough it will confess to anything.”

His case is compelling.

There is a point early on in Measures of Success where I was having issues understanding exactly how MR Charts (which measure rate of change) related to X-Charts (which measure actual data). Thankfully, a very helpful appendix takes the reader step by step through creating both, including excel formulas and providing links to where templates can be downloaded. The take away here is: if you get stuck read the appendix.

“Measuring is Easy, Managing is Hard.”

Measures of success, at its heart, is a plea to manage from what the data actually says, not what a manager or senior executive thinks it says. It makes the case that; “We don’t manage the metric, we manage the system that leads to the results, and we lead the people who help us improve the system.” If we set a target, what does that mean, other than just being a vanity metric pulled out of thin air? If we are wanting different results that what we already have the focus should not be on the target but on changing the system that gives us those results.

Mr. Graban’s Measures of Success is actually quite a short book, but is filled with color illustrations, and examples with which to make his case. There is even a section on how to implement X-Charts and MR-Charts at your business.

For anyone who considers process important to their work, and those who look at data, Measures of Success is a must. This is a book that promotes a structural change in how managers react and adapt processes. Most business books talk about how we manage change, few focus on why we are changing in the first place or whether there is an actual need to change.

Simply put, this book will change how and why you manage.