Another example of the increasing prevalence of data capture and the challenges associated with its use was observed recently in my local McDonalds drive through.
While waiting for my McHappy meal (I wanted the Monopoly game...) I observed a screen detailing the "throughput" rate (target vs actual) of every Maccas store in the region categorised in red (below target), orange (border-line) or green (above target) as to how quickly drive through customers were served. At any one time a branch employee (or customer) could identify how they compared to other branches in thier region in real-time.
This in itself is not overly unusual - McDonalds are well known for thier quantitative and systems approach to managing thier business. And while the exercise is impressive in terms of the infrastructure investment and commitment to data capture, what was interesting was the management implications of the data capture.
I button-holed a junior manager and asked them what effect the (newly installed) performance tracking system had on employees - e.g. Did they look at it regularily, did they care about the performance targets, did the threat of being nationally/regionally exposed as poor performers stimulate production? I had expected that in the compliance / systems orientated "high pressure" environment of a fast food restaurant this type of tool would have a significant impact on junior staffer's work output. The highly transparent traffic-light system is easily interpreted regardless of level of training, experience or relative intelligence level and therefore one would be forgiven for it being frequently viewed by those responsible for drive-through throughput.
erm.... wrong apparently!
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