Would you drive your car, whilst looking only in the rear-view mirror?
I thought not…yet this is common practice in business, education, and government, where historic performance data such as quarterly reports and comparisons with ‚Äėthis month last year‚Äô are widely held to be meaningful.
The noted US engineer and scholar Dr Myron Tribus famously wrote of this as: ‚Äė-like trying to drive a car by watching the yellow line in the rear-view mirror.‚Äô
And I for one would not wish to be a passenger in a car driven that way!
My attention was drawn here by a Tweet: >¬†@kvistgaard RT @tetradian: RT @jdevoo:¬†Walking in Allende’s Footsteps: Cameron’s No. 10 Dashboard¬†nyti.ms/UfOwnv¬†#cybernetics #entarch #vsm
< A recent Civil Service article expresses pride in the achievements of a young fast-track officer, who had created a ‘dashboard’ application for the PM‚Äôs iPad.
‘One of her recent projects…was designed to give the Prime Minister, other Ministers, and senior Whitehall officials an at-a-glance overview of everything that‚Äôs happening in government and elsewhere‚Ä¶with a few taps or swipes of his fingers, he can see very quickly what important new information has come to light, how certain government services are performing, and a selection of relevant and important news reports.’
I accept that in politics a craving for sound-bite sized facts is a cultural constant, and may be an itch that highly visible leaders cannot leave un-scratched. My complaint lies not with the politicians, but the shallow presentation of data. I’m pleased that intelligent politicians want to track data, but concerned that this format invites incorrect interpretations.
Look at an example:¬†http://publications.cabinetoffice.gov.uk/assets/images/strategy/case-studies/fast-stream/Alice–GDP-ret.png¬†-look solely at the last 5 points in a hopeful frame of mind and you might see a strong rise; but search for an overall trend and do you see an upward shift? This really is just a pretty picture, since no matter how many points of that wiggly line are drawn it provides no explanation.
Since the diagram does not explain WHY things happened, this trace is not helpful to PREDICT what may happen in the near future -which is the main route for those seeking to understand and improve performance.
Without using theory ‚ÄúPerhaps it is a 70-year cycle?‚ÄĚ to link events with causes, these snapshots and zig-zag plots cannot tell us any more than that the situation is volatile.
We need users to ask ‚ÄúWhat happens next?‚ÄĚ shifting the emphasis from home-spun guesswork ‚ÄúYes Sir Humphrey, figures do seem to be rising‚ÄĚ ‚Äďbut are they really? ‚Äďcan we tell whether this really is a normal swing, or a fluke? ‚Äďand does the cause lie inside the work, or is it driven from outside?
Thus an emphasis on prediction has to become a key task for management.¬†Sadly this dashboard is not about prediction ‚Äďand as a passenger in the car, I‚Äôm becoming worried‚Ä¶