One person that always seems to have fun around failure is Adam Savage, from Mythbusters. He’s like a big kid, wide-eyed and giggling, as he and his more stoic co-star, Jamie Hyneman, test all kinds of pop-culture myths, like whether you can ride a motorcycle on water, escape a turtled car under water, and put your hand into molten lead and not be injured. Adam routinely says that he doesn’t ca...

Consider the measures your organisation currently uses. How many are calculated annually? Or quarterly? Or monthly? Or weekly? What's the rationale for having chosen that cadence of calculation? One of the bad habits of performance measurement is measuring too infrequently, and this means we miss important signals in our measures.

The only way we can get performance to improve is to have some quantifiable influence over it. But some areas of performance are so chaotic that any improvement we try to make is swallowed up by the chaos, and we can't quantify (or even see) the change we've made.

My interview with Donald Wheeler is a very practical exploration of how we can better interpret signals from our performance measures and KPI's. (more&hel...

Don't default to familiar or traditional KPI monitoring methods; focus first on the two comparisons that get the most insight from our performance measures. (more…)

One of the challenges of making data-based decisions - using our KPIs or performance measures to guide our choices - is that often the data can prove us wrong. As Seth Godin says in his post The Do Over, if we're really going to let data inform our decisions, we have to be brave in admitting...

Guest author Martin Klubeck, author of Metrics: How to Improve Key Business Results, reminds us just how easy it is to fall into the trap of making our measures the end goal, and why we must make sure we stay connected with our intended results.

One of my performance measures is Measure Up Unsubscribe Rate, the proportion of readers who unsubscribe from this newsletter. Sometimes it's what I write about that makes them unsubscribe. And that can make the Measure Up Unsubscribe Rate will spike up. Should I worry about this?

I've written about two very powerful graphs to use on performance dashboards, or in performance reports that need to be concise: my version of Stephen Few's bullet graph, and my version of Edward Tufte's sparkline (my version is called a smartline). Is one better than the other?

Lots of my new clients share the same habit (a bad one): they conclude whether performance is getting better or worse by comparing the current month's (or week's or quarter's) performance measure value with last month, or with a target or standard. If this month (or week or quarter) is worse, they go digging for the cause. Trouble is, they don't find that cause.