Thinking Lab · 3 lessons
Systems Thinking
Understand connections and consequences In a system, the thing you fix and the place the problem appears are often not the same place.
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Understand connections and consequences
In one line: When the same behaviour keeps reappearing, look at the structure producing it rather than the people in it.
When you need it
- A fix works, and three weeks later the problem is back.
- Everyone is doing what they are asked and the result is still bad.
- An improvement in one place made things worse somewhere else.
The common misreading
- What people think
- Systems thinking means everything is connected to everything, so nothing can be said.
- What is true instead
- The point is the opposite — a small number of connections carry most of the behaviour, and finding them is what makes a small change matter.
After this module you can find a loop, a bottleneck or an incentive that explains a pattern you had blamed on effort.
The key idea
In a system, the thing you fix and the place the problem appears are often not the same place.
Start with a hard question
A repeating problem is usually structural. Write what happens each time, in order, and look for where it loops.
What problem in your life keeps returning even after you fix it?
Answer it before reading the lessons — then again after, and notice what changed.
The lessons
- Parts, relationships and feedback loops — When replacing the parts does not fix it, the structure is producing the behaviour. (7 min)
- Bottlenecks, incentives and leverage — Improving anything that is not the bottleneck produces no result, no matter how much effort it takes. (7 min)
- Unintended consequences and time horizons — What you measure grows, and what you did not measure shrinks. Decide which you actually wanted. (6 min)
Practise it
Short exercises. Under each is what a considered answer tends to contain — not a mark scheme.
Find the loop
You are tired, so you sleep badly, so you drink more coffee, so you sleep badly. Draw the full loop and mark where it could be broken.
- Tends to contain: At least one reinforcing loop stated clearly
- Tends to contain: Where the delay sits
- Tends to contain: More than one possible break point
- Tends to contain: Which break point is realistic rather than ideal
And then what
A company rewards support staff for closing tickets quickly. Trace three rounds of consequences.
- Tends to contain: Tickets close faster immediately
- Tends to contain: Hard problems get reclassified or deferred
- Tends to contain: Repeat contacts rise and satisfaction falls
- Tends to contain: The metric improves while the service gets worse
Where is the constraint
You write well, publish rarely, and have no audience. You spend your time improving your writing. What is the bottleneck, and what would you do instead?
- Tends to contain: Improving a non-constraint changes nothing
- Tends to contain: Publishing rate or distribution is the likelier constraint
- Tends to contain: What evidence would confirm which it is
- Tends to contain: The comfortable activity is rarely the constraint
Reflect
Where did you find that the problem and its cause were in different places?
Mental models for this
- Second-order thinking — Following consequences past the one you intended.
- Feedback loops — A loop is where an effect returns to change its own cause. Reinforcing loops amplify; balancing loops resist.
- The constraint — One point limits the throughput of the whole. Improving anything else changes nothing measurable.
- Incentives — People respond to what their position rewards, which explains behaviour far better than character does.
- Goodhart’s law — When a measure becomes a target, it stops being a good measure.
- Emergence — Simple rules followed by many people produce behaviour that is in none of the rules.
- Position, not personality — Where someone sits in a structure shapes what they see and what pressures them, often more than who they are.
Methods for this
- Find the constraint first — Locating the one point that limits the whole, before improving anything.
- Find the loop — Seeing where an effect feeds back into its own cause.
- Look for the leverage point — Finding where a small change moves a lot — usually not where the noise is.
- And then what? — Following consequences past the one you intended.
- Check what the measure will do — Predicting how a target will be met in ways you did not intend.