This story may be apocryphal, but I’ve heard that it’s possible to trap a monkey by putting a banana in a bottle where the mouth of the bottle is just big enough for an empty monkey hand to fit through, but too small for that hand to fit back through while holding the banana. The monkey has to choose between letting go of the banana and freeing its hand. Some monkeys probably let go, but many hold on long enough to be caught.
So what does this have to do with Lean Thinking and Lean IT? Well, sometimes we have to let go of what seems like (and may actually be) beneficial to us in the short-term in order to reap the benefits produced by taking a less-intuitive course of action that will produce much greater rewards over the long-term. This may seem obvious in theory, but it’s much harder to put into practice, especially when under pressure to meet short-term targets. The naturally tendency is just to keep pushing (or pulling in the case of the monkey) harder, putting more effort into what we are already doing, even though it’s clearly not working.
Harvard professor, Chris Argyris, addresses this issue with a simple, but useful conceptual construct called Double-Loop Learning. In what he calls Single-Loop Learning, we can get caught up taking the same action over and over again even though we are not getting the results we want. We respond by working even harder, but nothing seems to change. It’s possible that the approach we are taking worked in the past, but that the environment has changed. Or it’s just as likely that there was never any causal link between our actions and the results that we experienced.
Double-Loop Learning encourages us to step out of this “trap” and examine our beliefs and assumptions. Are we sure that there is a causal relationship between the action we are taking and the results we are looking to achieve? Are the results we are trying to achieve an end in themselves, or are they a means to achieving more important long-term objectives? Is our current behavior contributing to our long-term objectives, or would be better off taking a different path to achieve those ends?
The classic example of Single-Loop Learning is reducing expenses through layoffs in order to improve a company’s profitability. This strategy is so effective in the short-term that it is simply irresistible to the heads of many organizations. But clearly this strategy is self-limiting (if they intend to stay in business) and, most likely, counter-productive to their long-term objectives of growth and sustainability. Instead, what results is an endless cycle of purge and binge in reaction to macro-economic forces. Taking a different approach is not easy, but it’s better than being a monkey.


