Skip to main content

pygmalion water babies

Some years back Colin, our intrepid consultant, needed to recruit a coach to help with the transformation at a customer site. On this particular day, he was interviewing what he thought would be an excellent prospect and had booked an interview room for the day so he could have some privacy.

The candidate entered and Colin spent a little time chatting with him to put him at his ease. Once he felt the candidate had settled down he said, “Why don’t you tell me a bit about yourself and what you’re looking for in this engagement.”

“Well,” said the candidate, “If you’ve read my CV, you’ll know I’ve been a coach for many years and have worked for many blue-chip companies. I’ve thought of myself as successful but, to be honest, I’ve always been a bit disappointed, too”

Colin was curious and wanted to hear more about this. “So, tell me what you’ve been disappointed about.” he said.

“The one thing that’s really disappointed me as a coach,” replied the candidate, “Is that so far, all of my customers have been fools. None of them has had a proper understanding of software development techniques and they’ve all been slow to learn. Sometimes they’ve even been foolish enough to reject my proposals. How daft can you get?” He paused for breath, “It’s got to the point now that I don’t want to work with fools any more, I only want to work with bright people who are willing to accept my recommendations and have the intelligence to action them.”

“Oh dear,” said Colin in response, “I’m afraid you’ve just described this customer to a tee. They are a bit foolish, not very clever at all. They are always questioning what we do and are very slow at picking things up. You wouldn’t like it here at all.”

The candidate was quick to respond, “Oh no! Just what I didn’t want to hear. I’m so glad we found out now, before I took the job. Looks like I’ll have to pass on this opportunity and continue my search elsewhere.” With that, he thanked Colin for his time and left.

After the candidate had closed the door behind him, Colin’s thoughts went back to his days at school studying English. He’d been very fond of George Bernard Shaw’s play, Pygmalion. From it, he remembered Eliza Doolittle’s conversation with Colonel Pickering, in which she says, “The difference between a lady and a flower girl is not how she behaves, but how she’s treated. I shall always be a flower girl to Professor Higgins, because he always treats me as a flower girl, and always will; but I know I can be a lady to you, because you always treat me as a lady”

This is where the term ‘Pygmalion Effect’ originates. People will always behave the way you expect them to behave. Treat them fools and they'll behave like fools, treat them as if they are intelligent human beings and they will behave like intelligent human beings.

Of course, Colin’s customers weren’t foolish but he knew if the candidate had joined them, they would soon start behaving that way, which is why he’d been quick to put him off. He knew the candidate had a long way to go in his search for his ideal customer.

Since the interview had finished early, Colin had plenty of time to sit and think, wondering if he should send the candidate a copy of Pygmalion. Better still, maybe he should send him a copy of Charles Kingley’s, ‘Tom and the Water Babies’

Perhaps he could learn something from Mrs Doasyouwouldbedoneby?

Popular posts from this blog

The Limitations of Reward in Organisational Development

The ongoing inquiry into the Post Office Scandal[1] has recently brought to light disturbing evidence. It appears that Post Office investigators were incentivised with monetary bonuses for successful prosecutions and the confiscation of funds from sub-postmasters and sub-postmistresses affected by the faulty Horizon software[2].  As discussed in Dan Pink's book on motivation, "Drive[3]," the repercussions of offering extrinsic rewards without adequate safeguards can be severe. People might exploit the system, ignoring long-term consequences for the sake of immediate gains. The effectiveness of rewards, such as bonuses and salary increases, in motivating and disciplining individuals has been a subject of ongoing debate. While some argue that extrinsic incentives can drive desired behaviors and outcomes, there is a growing body of evidence suggesting otherwise. Let's explore the limitations of relying on rewards in these contexts, emphasising the significance of intrins...

Embracing AI - Augmented Intelligence

There is no denying that artificial intelligence (AI) has made significant strides over recent years, becoming more advanced and capable than ever before. With this progress, many have begun to wonder whether AI poses a threat to humanity, particularly our jobs, privacy, security, and overall well-being.  Some may argue that the rapid advancement of AI could lead to a dystopian world where machines rule supreme and humans become obsolete. However, it is important to remember that at its core, AI exists to serve us, not replace us. Instead of viewing AI as competition for human intelligence, we should consider it as an augmentation of our abilities.  This idea of 'Augmented Intelligence,' instead of Artificial Intelligence, highlights how powerful technology can enhance rather than impede human potential. Augmented Intelligence recognizes that humans and machines each possess their unique strengths, making them better together than apart. Humans excel in creativity, intuition, ...

Embracing the Promise of AI: Overcoming Fears and Musk's Paradox

In the face of groundbreaking technologies like AI, initial fears and uncertainties are not uncommon. However, history has shown that society often transitions from apprehension to wholehearted acceptance as the true potential of a technology unfolds.  When motor vehicles emerged in the late 19th century, society grappled with fear and uncertainty. Laws mandating a person carrying a red flag to precede each vehicle reflected public anxiety and attempts to mitigate potential accidents.  Similarly, society's current apprehension towards AI stems from fear of the unknown and its potential disruptive consequences. However, history shows that initial fears are often unfounded and subside with increased familiarity and understanding of new technologies. AI's capability to process vast amounts of data and identify complex patterns presents unprecedented opportunities for decision-making and efficiency. Organizations can unlock insights, make data-driven decisions, and optimize proces...