In her book ‘Thinking in Systems’, Donella Meadows shows why well-meant training often fails when structures, interconnections and purpose stay intact. Drawing on stocks, flows and feedback loops, Houra Amin explores what learning leaders can diagnose before intervening, and how patience, mental models and better metrics reshape sustainable organisational change.

Book: Thinking in Systems
Author: Donella Meadows

Donella Meadows opens with a quote from Robert Pirsig’s Zen and the Art of Motorcycle Maintenance: “If a factory is torn down but the rationality that produced it is left intact, that rationality will simply produce another factory. If a revolution destroys a government but the systemic patterns that created it remain unchanged, those patterns will repeat themselves”.

It is a book about why the things we do with such good intentions so often fail to stick

That is the doorway into Meadows’ world. And once you step through it, you cannot step back out. I came to this book as someone who works at the intersection of behavioural science and organisational learning, and I found myself nodding on almost every page. This is not a book about abstract theory. It is a book about why the things we do with such good intentions so often fail to stick.

What the book argues

Meadows’ central claim is deceptively simple: if you do not change the system, you will recreate the problem. Every single time. She illustrates this with an image: a Slinky and a rigid box. Hold the slinky between two hands. Remove the bottom hand, and it bounces. Do the same with the rigid box. When you remove your hand from the box, nothing happens.

The difference is not the action, it is the structure. Structure determines behaviour – not effort, intent or training. For learning leaders, this lands with some force. You can send managers on a leadership programme. But if the organisation rewards hitting numbers over developing people, if meetings are back-to-back, if managers themselves feel psychologically unsafe, the structure will win. Despite the great intervention, people leaders will just revert back to old practice.

Meadows builds her framework around three components:

  1. Elements – the visible parts of a system
  2. Interconnections – the rules, flows, and relationships linking them
  3. Purpose – the reason the system exists

She argues that most change efforts target elements (the people, the content, the tools) while leaving interconnections and purpose entirely untouched. This is why awareness training almost never shifts behaviour.

Stocks, flows, and the patience problem

Meadows argues that to understand the system’s behaviour we need to understand how stock and flow work. A stock is anything measurable at a given moment. It’s things like capability, confidence, readiness.

This feedback delay has significant implications for how we frame learning impact with senior stakeholders

A flow is what raises or lowers it over time. Meadows’ key insight here is that stocks resist sudden change. You cannot fix culture in an awareness month. A burned-out team does not recover in a week. AI adoption does not accelerate because you purchased a licence. This feedback delay has significant implications for how we frame learning impact with senior stakeholders who expect transformation at the speed of urgency.

Feedback loops and why problems persist

Meadows is particularly sharp on feedback loops – the reinforcing cycles that drive either growth or collapse, and the balancing loops that keep systems stable. The shower temperature analogy is one of the clearest explanations of organisational delay I have ever read. You turn the dial, nothing happens. You turn it further, suddenly it scalds. Organisations behave the same: the response to intervention is almost never immediate, and the temptation to overcorrect at precisely the wrong moment is nearly universal.

Look, listen and learn

The final section of the book offers very practical guidance:

  • Watch the system before you intervene
  • Notice your mental models and invite others to challenge them
  • Resist the pull of metrics that are easy to count at the expense of things that actually matter

This last point felt written for our profession specifically.

Thinking in Systems is not a quick read, but it is one of those rare books that changes your diagnostic lens permanently. After reading it, I found myself asking different questions when a client described a persistent performance problem; not “what training will fix this?” but “what in the system makes this pattern inevitable?”

Houra has a deeper review of the book in this video:


Houra Amin is Director and Learning Strategist at Blue Jay Learning