When Is Seeing Believing?

One of the problems with our caveman brains is that they are a bit slow. It may not feel that way but they are – and if you don’t believe me try this experiment: Stand up, get a book, hold it in your left hand open it at any page, hold a coin in your right hand between finger and thumb so that it will land on the floor when you drop it. Then close your eyes and count to three. Open your eyes, drop the coin, and immediately start reading the book. How long is it before you are consciously aware of the meaning of the words. My guess is that the coin hits the floor about the same time that you start to making sense of what is on the page. That means it takes about half a second to start perceiving what you are seeing. That long delay is a problem because the world around us is often changing much faster than that and, to survive, we need to keep up. So what we do is fill in the gaps – what we perceive is a combination of what we actually see and what we expect to see – the process is seamless, automatic and unconscious. And that is OK so long as expectation and reality stay in tune – but what happens when they don’t? We experience the “Eh?” effect which signals that we are temporarily confused – an uncomfortable and scary feeling which resolves when we re-align our perception with reality. Over time we all learn to avoid that uncomfortable confusion feeling with a simple mind trick – we just filter out the things we see that do not fit our expectation. Psychologists call this “perceptual distortion” and the effect is even greater when we look with our minds-eye rather than our real eyes – then we only perceive  what we expect to see and we avoid the uncomfortable “Eh?” effect completely.  This unconscious behaviour we all demonstrate is called self-delusion and it is a powerful barrier to improvement – because to improve we have to first accept that what we have is not good enough and that reality does not match our expectation.

To become a master of improvement it is necessary to learn to be comfortable with the “eh?” feeling – to disconnect it from the negative emotion of fear that drives the denial reaction and self-justifying behaviour – and instead to reconnect it to the positive emotion of excitement that drives the curiosity action and exploratory behaviour.  One ewasy way to generate the “eh?” effect is to perform reality checks – to consciously compare what we actually see with what we expect to see.  That is not easy because our perception is very slippery – we are all very,very good at perceptual distortion. A way around this is to present ourselves with a picture of realilty over time, using the past as a baseline, and our understanding of the system, we can predict what we believe will happen in the near future. We then compare what actually happens with our expectation.  Any significant deviations are “eh?” effects that we can use to focus our curiosity – for there hide the nuggets of new knowledge.  But how do we know what is a “signifcant” deviation? To answer that we must avoid using our slippery self-delusional perception system – we need a tool that is designed to do this interpretation safely, easily, and quickly.  Click here for an example of such a tool.

Do We have a Wealth of Data and a Dearth of Information?

Sustained improvement only follows from effective actions; which follow from well-informed decisions – not from blind guessing.  A well-informed decision imples good information – and good information is not just good data. Good information implies that good data is presented in a format that is both undistorted and meaningful to the recipient.  How we present data is, in my experience, one of the weakest links in the improvement process.  We rarely see data presented in a clear, undistorted, and informative way and commonly we see it presented in a way that obscures or distorts our perception of reality. We are presented with partial facts quoted without context – so we unconsciously fill in the gaps with our own assumptions and prejudices and in so doing distort our perception further.  And the more emotive the subject the more durable the memory that we create – which means it continues to distort our future perception even more.

The primary purpose of the news media is survival – by selling news – so the more emotive and memorable the news the better it sells.  Accuracy and completeness can render news less attractive: by generating the “that’s obvious, it is not news” response.  Catchy headlines sell news and to do that they need to generate a specific emotional reaction quickly – and that emotion is curiosity! Once alerted, they must hold the readers attention by quickly creating a sense of drama and suspense – like a good joke – by being just ambiguous enough to resonate with many different pepole – playing on their prejudices to build the emotional intensity.

The purpose of politicians is survival – to stay in power long enough to achieve their goals – so the less negative press they attract the better – but Politicians and the Press need each other because their purpose is the same – to survive by selling an idea to the masses – and to do that they must distort reality and create ambiguity.  This has the unfortunate side effect of also generating less-than-wise decisions.

So if our goal is to cut through the emotive fog and get to a good decision quickly so that we can act effectively we need just the right data presented in context and in an unambiguous format that we, the decision-maker, can interpret quickly. The most accessible format is as a picture that tells a story – the past, the present and the likely future – a future that is shaped by the actions that come from the decisions we make in the present that we make using information from the past.  The skill is to convert data into a story … and one simple and effective tool for doing that is a process behaviour chart.

Are your Targets a Pain in the #*&!?

If your delivery time targets are giving you a pain in the #*&! then you may be sitting on a Horned Gaussian and do not realise it. What is a Horned Gaussian? How do you detect one? And what causes it?  To establish the diagnosis you need to gather the data from the most recent couple of hundred jobs and from it calculate the interval from receipt to delivery. Next create a tally chart with Delivery Time on the vertical axis and Counts on the horizontal axis; mark your Delivery Time Target as a horizontal line about two thirds of the way up the vertical axis; draw ten equally spaced lines between it and the X axis and five more above the Target. Finally, sort your delivery times into these “bins” and look at the profile of the histogram that results. If there is a clearly separate “hump” and “horn” and the horn is just under the target then you have confirmed the diagnosis of a Horned Gaussian. The cause is the Delivery Time Target, or more specifically its effect on your behaviour.  If the Target is externally imposed  and enforced using either a reward or a punishment then when the delivery time for a request approaches the Target, you will increase the priority of the request and the job leapfrogs to the front of the queue, pushing all the other jobs back. The order of the jobs is changing and in a severe case the large number of changing priorities generates a lot of extra work to check and reschedule the jobs.  This extra work exacerbates the delays and makes the problem worse, the horn gets taller and sharper, and the pain gets worse. Does that sound a familiar story? So what is the treatment? Well, to decide that you need to create a graph of delivery times in time order and look at the pattern (using charting tool such as BaseLine© www.valuesystemdesign.com makes this easier and quicker). What you do depends on what the chart says to you … it is the Voice of the Process.  Improvement Science is learning to understand the voice of the process.