Tag Archives: knowledge

360◦ feedback – when it might not be very helpful

360 feedback360◦ feedback is an often cited ‘best practice’ model for enabling people to understand how well they perform, what they need to do more of and what they need to improve. Like any method, it needs to be checked to see whether it will work (i.e deliver its intended purpose) and whether it is the best way of achieving that purpose (e.g. are there any unwanted side-effects?). In the case of 360◦ feedback these questions are rarely asked- the first concerns are usually practical (who can give the feedback, how do we collate it) – 360◦ feedback is de facto a ‘good thing’, isn’t it?

Nevertheless it is worth stepping back and considering whether the 360◦ approach is:

(i) helpful and (ii) effective…?

One issue with 360◦ – which you will never find on a 360◦ website (for obvious reasons) is that it is based on judgement and opinion. There is the old adage that “opinion+opinion+opinion=opinions”, in other words any combination of opinions will not necessarily be the truth. This is of course also the case whether you get friend or foe to give you the feedback! For this reason, a lot of people would say ‘don’t bother’.

In fact there is a strong case for the ‘don’t bother to give feedback at all’ viewpoint. It is a question of measurement and assign-ability. What is the feedback measuring? In a stable system 90-95% of performance is due to the system, in other words is not assignable to the individual (Deming 1993). This means that feedback given to the individual will be at best only scratching 5% of what people do. In essence “faults, weaknesses and dereliction of individuals is not the primary door for improvement” – its more effective to work on improving processes and systems (Coens and Jenkins 2000).

(Note: in an unstable system all the feedback should be directed at the boss anyway, not the worker – that is worth a separate blog in itself).

 Timeliness of feedback is important: it should relate to specific behaviours for which impact is known and to which the receiver of the feedback can choose to respond to get a different effect. (Coens and Jenkins 2000). Good feedback needs to be delivered in a personal and interactive manner and from a person who is seen as credible. People naturally tend to rationalise feedback from other human beings (Coens and Jenkins 2000, Jacobs 2009), so anonymous feedback can be easily rejected or seen as invalid.

There is a strong argument that where a person is not prepared to/cannot give the feedback face-to-face, then they shouldn’t bother. If they CAN give the feedback face-to-face, they should take responsibility for it but also be prepared for it to be ignored or contested (and take responsibility for the other person’s reaction – anger, tears, hurt, laughter, responsiveness). The best teams are those where this type of discussion is normal, expected and conducted in a good spirit of trust and collegiality.

There is another clue in the usefulness of any method: what ‘checks and balances’ do people have to put on the system to ensure that it is fair on people? If you need to place a ‘system to police the system’ (i.e. who gives the feedback) then , inevitably you will need to  have a system to  police the police who are policing the system and so on…If any answer is forthcoming that suggests that the method is not impartial, robust or trustworthy – and generates too much work!

It is better to keep feedback down to face-to-face discussion, you simplify it because people take responsibility for the whole. Make sure people know how to give and receive feedback; what, how, when, where, why. Ensure a culture where informal conversations about the work and how it can be improved become the norm. Increase the value of dialogue and discussion on how to improve things within meetings (and move beyond discussion of reporting and giving feedback).

Reading:

Coens and Jenkins (2000) Abolishing Performance Appraisals: why they backfire and what to do instead, Berrett-Koehler, San Francisco, CA.

Deming W.E. (1993) The New Economics, MIT CAES, Cambridge MA.

Jacobs, C.J. (2009) Management Rewired: Why Feedback Doesn’t Work and Other Surprising Lessons from the Latest Brain Science. Penguin Group Portfolio, NY

 

Should we say it again? People are not the problem.

chimp at wheelDeming famously stated “I should estimate that in my experience most troubles and most possibilities for improvement add up to the proportions something like this: 94% belongs to the system (responsibility of management), 6% special.“. In other words people-related ‘fault’ will be part of the minority 6%.

This statement tends to set people into a degree of  hand-wringing ifs and buts: ‘surely he meant this only in a manufacturing system’, ‘ what about the difficult people?’, ‘ what if they are incompetent?’, ‘I am sure folks are the problem 40% of the time’ etc…

Chip and Dan Heath share a trivial, but insightful example in their book ‘Switch’. They discuss a situation (part of a research exercise) where moviegoers eat significantly more popcorn if they are given large buckets, than if they are given small buckets. To the outsider it looks like the people are ‘Popcorn Gorging Gluttons’ and we may feel that we should judge them as so. In reality, their behaviour (eating excessive amounts of popcorn) is driven by the system – the size  of bucket they have been given. Change the bucket for a small one and their behaviour changes – they seem like moderate consumers. The system is the problem (large buckets), not the people.

“But aha – surely it’s their fault that they choose to scoff down the popcorn!”. True, we are sentient beings and can make choices (for example, I would hope that people who are aware of supermarket sales floor design are less likely to buy excessive amounts of fresh baked goods, fresh fruit and ‘buy-one-get-one-free’ items). I am not suggesting that we should excuse everyone of their behaviour 95% of the time. There are other things to consider – for example do we run on autopilot too often (Do we let the chimp drive the car? More for a later blog I think…)?

However as a start we need to be honest enough to examine our own assumptions as placed upon others and how we judge their behaviour. As the Heath brothers suggest, to do this we need to encounter a deep-rooted phenomenon identified in psychology.

 Kendra Cherry explains -“When it comes to other people, we tend to attribute causes to internal factors such as personality characteristics and ignore or minimize external variables. This phenomenon tends to be very widespread, particularly among individualistic cultures.

In Psychology this is known as the fundamental attribution error – we automatically assume that the person’s internal characteristics are the cause of behaviour even when other possible influencing factors are present in the situation.

So let’s pull away from assumption and open our minds to what is really happening with people.

Further Reading:

Deming W.E. (1982) Out of the Crisis (p315), MIT CAES, Cambridge MA.

Heath C., and Heath, D. (2010) Switch: when change is hard, New York: Random House

Peters S. (2012) The Chimp Paradox: The Mind Management Programme to Help You Achieve Success, Confidence and Happiness. Vermillion, London.

 Other links:

Cherry, K. (2014) Attribution: How we explain behaviour. http://psychology.about.com/od/socialpsychology/a/attribution.htm

 

‘Value’ versus ‘Waste’ – why bother?

If we want to make improvements at work we  need to balance between two sets of action: reduction of waste and addition of value. William Sherkenbach reminds us that waste and value are NOT reciprocals

– you can reduce waste but not add value;

– you can add value but not reduce waste.

You need to do both in a balanced way.           The reduction of waste does not ensure value.

This is why John Seddon always starts discussions around improvement by asking people to understand what is happening first; how much good work they produce (the stuff that people want) and what it is (why it is valuable), how much waste is produced (stuff that is not what people want) and what types of waste. Seddon calls these the WHAT’s of performance. Only once we know what is happening can we differentiate value from waste (or  ‘failure demand’ as Seddon labels it). What is interesting is that by examining demand properly we can identify those things which on the surface appear to be a customer requirement (e.g. a request for a service or a query) but can actually turn out to be driven by a failure earlier in the process. If these things are identified we can flush out built-in failures in the design of systems, procedures and policies.

To some degree or another, a given production of good output (value) will generate a parallel degree of waste. If you double the output (good things), you will double the waste output (at the very least, aside from errors due to additional pressure on people and machinery). To improve quality of output (i.e. to get proportionally more good stuff) we need to redesign the system. Identify value and eliminate waste and failure.

An analogy is water consumption. If you find a new source of water and make it available for consumers to use, but don’t fix the leaky pipes, you will just generate more leaked water. A good water system has good supply of water and a continually diminishing occurrence of leaks. Water service professionals are concerned with water catchment (source and supply channels) and the integrity of the distribution network (fixing leaks).

However, taking the idea further using a different analogy, an economical way to run a car involves a combination of maintenance and driving technique for improved fuel efficiency, or a person could simply drive the vehicle fewer miles. How you carry out your driving relates to purpose. If we only drive a few blocks to buy a pint of milk, our decision about the car’s fuel economy might be different compared to someone who uses the car to commute 100 miles per day to work. Or, if we only want to take our prized sports coupé out at weekends in the summer to impress people at parties, the decision will be different once again.

Purpose is defined by the needs of the user. The ‘user’ is the user of our product or service. But also remember that ‘purpose’ should not exist in its own bubble. If we buy a Harley Davidson motorcycle just to use it to cruise in the sunshine on Sundays, that might be just fine. However, if we ‘rev it up’ every Sunday morning as we start our trip to the seaside, the neighbours might have something to say about it.

Purpose, value & waste. The start for discussions about performance is to understand all three.

 

Further Reading:

Seddon, J. (2005) Freedom from Command and Control, Vanguard Press, Buckingham, UK.

Sherkenbach W.W. (1991) Deming’s Road to Continuous Improvement, SPC Press, Knoxville, TE

The Pale Blue Dot – paradigms and the big picture

We all know that the world is a big place, with lots of complexity and over 7 billion people living in it.
Let’s just stop for a moment and take a look at this photograph…

http://upload.wikimedia.org/wikipedia/commons/7/73/Pale_Blue_Dot.png

Taken in 1990 by the Voyager 1 spacecraft, this image is notable for the diagonal coloured stripes; but don’t be distracted – these colours are just artefacts of sunlight glancing off the camera housing. They are not the subject of the photograph.

The most important piece of the image is however, the nearly unnoticeable speck of blue just over halfway down the brown stripe on the right. This is Earth.

Carl Sagan, astrophysicist, astronomer and author, pointed out that: “all of human history has happened on that tiny pixel, which is our only home” (speech, Cornell University, 1994).

So what shall we think about when we return to work on Monday?

Rather than worry about the wider world and the vastness beyond it, we should perhaps take note of Stephen Covey’s suggestion and focus on our Circle of Influence, namely the things close enough to us that we can do something about. If we proactively work on what we can change in ourselves it will cause a ripple outwards and increase our influence to inspire and change others.

Further Reading:

Covey, S. (1989) 7 Habits of Highly Effective People, Simon & Shuster, New York, NY.

Postscript: A more recent photograph of earth has since been taken from NASA’s Cassini spacecraft (peeking from behind Saturn) which shows Earth a little more defined far beyond the rings of Saturn.

Links:

BBC News (2013) Cassini probe takes image of Earth from Saturn orbit, http://www.bbc.co.uk/news/science-environment-23419543

California  Institute of Technology Jet Propulsion Laboratory News Release (2013) NASA Releases Images of Earth Taken by Distant Spacecraft saturn.jpl.nasa.gov/news/newsreleases/newsrelease20130722/

 

 

Counter-intuition: the key to change?

Like it or not, our brains are biologically structured to process information in two distinct ways (more actually, but we will focus on two here). On one hand we can process huge amounts of routine, familiar information, whilst on the other hand we are also adept at processing novel information.

Having a brain that can quickly process vast amounts of routine information is very helpful; it allows us to work on auto-pilot when we want to think about other things. If we step out from a dark hallway onto a busy, sunlit street, we do not feel overloaded with information. Instead we fit what we see, hear and smell into our mental models (‘paradigms’ in the technical jargon) and filter the information to best understand what is happening and where we are – and we go about our business of the day.

Much as this might be a strength, it can also be a hindrance. Even the predators of human prehistory adapted successful strategies to exploit this weakness. The crouching tiger hidden in the bushes can easily remain unseen to the unsuspecting passer-by until it is too late…

tiger in the bushes
You probably will not see the tiger until it makes a move

Fortunately we are not simply data-processors; the architecture of our brain provides other capabilities. If we perceive something unfamiliar, such as the backfire of a car engine, we notice it. If a carnival procession turns into the street we notice it. We adapt both our expectations and our behaviour. If movement is noticed in the bushes we ready ourselves for fight or flight – let’s hope it is not a tiger!

Learning works on this counter-intuitive level. John Seddon often talks about revealing counter-intuitive truths to open people’s minds to change. Neuroscience describes this as ‘cognitive dissonance’; stopping our mind from processing automatically and setting us up to restructure our thinking.

Charles Jacobs (2009) suggests that change is as much about re-structuring thinking as it is changing things like IT systems, team members, job descriptions, terms and conditions, performance measures or budgets. The latter are all methods which , although familiar ‘instruments of change’, are misunderstood or poorly executed. Furthermore just implementing new ‘stuff’ can be observed by somewhat cynically by employees as either management tinkering or a lame or half-baked compromise. The result is little or no lasting change.

A game-changing approach is more effective. Jacobs’ describes how Mahatma Gandhi chose to meet violence with non-violence, breaking the cycle of escalation and opening a different dialogue for change.

In managing change, we need to take more account of what needs to be done to change people’s minds. According to Jacobs, to “stop the way people are thinking now and create a new way of thinking that will drive the behaviour we need to achieve the future…”

 

Further Reading:

Deming W.E. (1993) The New Economics, MIT CAES, Cambridge MA.

Jacobs, C.J. (2009) Management Rewired: Why Feedback Doesn’t Work and Other Surprising Lessons from the Latest Brain Science, Penguin Group Portfolio, NY

Seddon, J. (2005) Freedom from Command and Control, Vanguard Press, Buckingham, UK.

Beyond the obvious: from symptoms to causes

Organisations are complex places and change can become a complex business. We cannot simply expect to make a change here and see an outcome there; outcomes are rarely as simple as ‘cause and effect’. There are many reasons for this, one of which is the fact that different people will see things (and respond) in different ways.

Focusing on the obvious can sometimes be unhelpful

 

My last blog presented the basic ideas concerning the ‘theory of knowledge’.

One key point was that although many people can see or know the obvious, often the important knowledge is what is largely unknown (to some degree). We need to look further than just what fictional hotelier Basil Fawlty would call ‘the bleedin’ obvious’.

 

This means that we must ask the right questions. Deming gives a great example of how to improve performance, describing a children’s charity which raises money for medical care and food support, using appeals run through mailing lists (Deming 1993). He points that final performance (how much money is donated to the charity) is largely unaffected by the efficiency of the steps of printing, mailing, payment, receipt, acknowledgement; improvement effort in these areas will be largely irrelevant. The important step which impacts on the willingness of donors to give money is the quality of the message which has been written to them (and which is formulated right at the start of the process); zero defects in the rest of process is of much less importance. This is where a lot of today’s approaches, like ‘lean’, ‘benchmarking’ and ‘process-re-engineering’ fall down – they encourage people to apply tools to a situation – dealing with the obvious; efficiency, flow and defects, without thinking about purpose and what affects the system as a whole. The result is that, after the initial rush of enthusiasm, people do not see great benefits in the change.

This is a warning to those looking at change – are we fiddling around the edges or are we dealing with fundamental change that will make a real difference?

This is not to say that statements of the obvious are unimportant – we can be blind to things that are abundantly clear to our users. People’s observations and opinions of the obvious are not trivial, the key is to examine what sits behind those phenomena and understand them properly.

In a higher education institution, the notion of involving students, although understood and welcomed can nevertheless be accompanied by a little hesitation or even reservation. This suggests to me a degree of discomfort on the part of staff (Will students understand the constraints that we have to work under? Will they have unrealistic expectations? Can students really understand what they themselves need?). Let’s face it, life would be simpler if we didn’t involve students – but that wouldn’t make things better either. We need to challenge our discomfort, face up to the weaknesses, illogicalities and frustrations that continually haunt our work and face up to the need to think differently and make new efforts.

Why? Because any discomfort we have in involving our users in the change process (whether they are students, partners, clients or customers) probably reveals our unrecognised, unknown or deliberately concealed concerns with how the system is currently under-performing for those very people. It challenges the way we work now and how we should work in the future. Basil Fawlty’s chaotic hotel would be fundamentally improved if he and his wife Sybil really worked out how they could together offer great hospitality to their guests – whereas instead they usually (hilariously and painfully) fiddle around the fringes of service, battling against each other.

So let’s not focus on the obvious and superficial. Deming, himself a well-renowned teacher (he won the US National Medal of Technology 1987 and the National Academy of Science, Distinguished Career in Science award 1987), makes an interesting observation on university teaching  “I have seen a teacher hold a hundred and fifty students spellbound, teaching what is wrong. His students rated him as a great teacher.  In contrast, two of my own greatest teachers in universities would be rated poor teachers on every count. Then why did people come from all over the world to study with them, including me? For the simple reason that these men had something to teach. They inspired their students to carry on further research” (Deming 1982).

In other words, in some cases the obvious (“a good approach”) masked the fundamentals (“poor content”), whereas the real value lies in delivering what people are really looking for. A university could ask students to rate it on trivial and obvious matters and think it is doing great, when in reality it is letting its students down – do we always ask the right questions?

Now that would be a challenge for change…

 

Read more here:

Deming W.E. (1982) Out of the Crisis, MIT CAES, Cambridge MA.

Deming W.E. (1993) The New Economics, MIT CAES, Cambridge MA.

Change and the knowledge iceberg

So, is management by fact a bit simplistic? What about the emotional aspects of work; trust, appreciation, excitement, fear, worry, concern? How can these things be properly addressed. A lot of these things will be more or less important depending on how we see the world. And most people see the world differently to everyone else!

If we want to improve anything it is best to make those improvements from a perspective of understanding – using knowledge. Unfortunately we live in a world of incomplete knowledge and, dare I say it, differing perceptions (we all see things differently). Deming suggests that we work on the basis of a decent theory of knowledge – but what does he mean? I use the iceberg analogy:

* A start point is to understand that there are things that most of us know – obvious, like the peak of an iceberg.

*Next there are the flatter ice floes, which a good ‘spotter’ on a ship might notice bobbing in the waterline. It is important that we know about these and we should get better at spotting them.

* However there is also sub-surface ice (in this analogy) – things not visible to anyone but which we need to delve into or at least give consideration (we have a decent hunch – or ‘belief’ – or ‘theory’ – or experience – that they will be there). Effort is needed either to seek them out or at least think properly about how we might have to deal with them. If we blindly sail through areas were sub-surface ice may be lurking, on the assumption that what we don’t know will not hurt us, we  would be a little foolish.

* There is also stuff that we don’t know … and need never know… it is out of our sphere of influence and we cannot do much to manage it – so don’t worry.

* Deepest of all is the ‘unknown’ – we will never know about it – (so again don’t worry)

In summary we should seek reasonable knowledge when we make decisions; we should not ignore things which are too difficult to understand and we should be honest when we are making assumptions. If we do this, then the outcomes of change, whether good or bad, will be better understood and will help to inform us in the future. If we need to broach sensitive subjects: trust, appreciation, excitement, fear, worry, concern, then a conversation is a good start point.

 

More reading:

Covey, S. (1989) 7 Habits of Highly Effective People, Simon & Shuster, New York, NY.

Deming W.E. (1982) Out of the Crisis, MIT CAES, Cambridge MA.

 

Is it an egg?

 

One item is ovoid, solid, brown, less than 10cms tall; another is about the same size and shape but a striking blue. Here are the two items; similar, but different. Lets take the one on the right – is it an egg? Yes it looks like an egg, but what about the second – is it an egg? Probably? Possibly? But what about that colour? Maybe the shape is not quite right too.

A perceptive person may seek out other information:

• is each item heavy or light?   –   actually they both weigh the same, about 60 grammes;

• are they rough or smooth?     –    generally smooth, but both are slightly matt to the touch;

• cold or hot ?     –   both are cold, but warm up easily enough in your hands

Who cares?

When my 12-year-old son is feeling cheeky, and thinks that he can catch me unawares, he will secretly pick up one of these, suddenly shout ‘hey Dad!’ and throw it at me to test my reflexes. He knows that he will get a reaction – I might laugh, get cross, duck, catch it, jump out the way or use any combination of these behaviours.

And what happens if it hits me or I drop it? With the brown one – well, nothing ; no mess at all because despite being the right shape, colour, weight and texture of a chicken egg it is rubber. Until it bounces off the floor you would never really know, even if you look at it closely. However, the strange blue egg will make a terrible mess. It is of course a duck egg. Thankfully my son has never tried to throw one of the blue eggs at me!

When we say we ‘manage by fact‘ what do we really mean? The facts are obvious aren’t they? Like the eggs, facts are probably not obvious – we usually work on the basis of our best ‘knowledge’ and that knowledge can be very variable. Knowledge ranges from pure facts to pure guesses; from fixed perceptions and preconceptions to a broad balance of possibilities; from empirical evidence to ‘belief’. The most surprising thing is that, to some degree or another,  none of these things are necessarily ‘better’ or ‘worse’; ‘right’ or ‘wrong’.

A belief might be well founded, based on experience or relate to something that is essentially unmeasurable or unknowable – we have to go with a reasoned belief. The problems arise when people use beliefs (and I am not talking about religious beliefs) in the face of contradictory, reliable evidence.

For example, if a manager believes people are motivated solely by money, that manager does not have helpful knowledge of motivation  and will therefore end up working with people in unhelpful ways (for them and, ultimately, for the manager too). The evidence concerning what motivates people at work is out there and should be sought by that manager, be understood and applied.

In another case a person may believe that female workers are more efficient than male workers, so that person’s behaviour towards workers of different genders may end up being distorted and again will ultimately be unhelpful.

At the other end of the scale we have facts; and ‘knowledge of facts’ can equally be an area of difficulty. Surely, if sales this month are up 10% on the same month last year, that’s a fact – but what does the 10% difference really mean (and I am not getting philosophical here)? Look at the diagram here – one person might see the last data point circled in red for February as great performance compared to Feburary in the previous year; others might be less sure.

As for the rubber egg – seeing that as a real egg is surely wrong (other than for use as a ball to bounce at your Dad perhaps)? Well not exactly. If you want to collect eggs from a broody hen, it is important that you replace her freshly laid egg with a replica that is such a good copy that she is convinced that it is a real egg.  Now what does that mean for management by facts?

Further reading:

Aguayo R. 1990, Dr Deming: The American who taught the Japanese About Quality, Mercury, London.

MacDonald, J. (1998) Calling a Halt to Mindless Change, Amacom, UK