Coaching practices for Where to Intervene in a System
Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Where to Intervene in a System, these are the strongest matches in the current practice library.
Does this sound like the set of challenges you might be facing?
- I jump straight to the obvious fix
- I keep pouring effort straight at the spot where the problem shows up, grinding away for results that barely budge
- Everyone here is succeeding brilliantly at exactly the thing that produces the problem I’m trying to stop
- The same bad behavior keeps repeating because whoever’s deciding never sees the cost of it land
- I’m forever fiddling with the surface
Practices that may help
- Rank intervention options by structural depth before choosing
Before deciding where to intervene, map the options from "change a number" to "change the paradigm."
Leverage Points - Find the high-leverage intervention point
Look for the structural change that produces large effects for small effort.
Systems Thinking - Change what the system is optimizing for
If the goal of the system produces the behavior you want to change, change the goal.
Leverage Points - Leverage Points
Leverage points are places in a system where a small change can produce large shifts in behavior. Donella Meadows ranked them by structural depth in her widely cited 1999 paper: numbers and parameters are low-leverage; feedback loops, goals, and the rules of the system are medium-leverage; and the paradigm from which the system arises is highest-leverage of all. The counterintuitive finding is that people’s intuition about leverage is often backwards. - Change who gets what information when
Information missing from a feedback loop is often more fixable and more powerful than adding resources.
Leverage Points - Identify high-leverage points rather than effort-intensive low-leverage ones
Most productivity interventions target low-leverage points; find the structural places where small changes have large effects.
Systems Thinking for Personal Productivity - Strengthen corrective loops and weaken runaway ones
Find the balancing loop that should be correcting the problem — and ask why it is too weak.
Leverage Points - Account for delays between action and effect
Identify where the time lag is between cause and consequence before you diagnose a problem.
Systems Thinking - Choose the intervention points with the most leverage
From the full chain, select two or three links where a different action would have diverted the sequence.
Behavioral Chain Analysis: The DBT Method for Understanding Problem Behaviors - Identify and challenge the paradigm the system rests on
Locate the shared belief about how things work that makes the current system seem natural — and question it.
Leverage Points
Related concerns
- Leverage Points At Work
Leverage points are places in a system where a small change can produce large shifts in behavior. Donella Meadows ranked them by structural depth in her widely cited 1999 paper: numbers and parameters are low-leverage; feedback loops, goals, and the rules of the system are medium-leverage; and the paradigm from which the system arises is highest-leverage of all. The counterintuitive finding is that people’s intuition about leverage is often backwards.
- Leverage Points During A Big Change
Leverage points are places in a system where a small change can produce large shifts in behavior. Donella Meadows ranked them by structural depth in her widely cited 1999 paper: numbers and parameters are low-leverage; feedback loops, goals, and the rules of the system are medium-leverage; and the paradigm from which the system arises is highest-leverage of all. The counterintuitive finding is that people’s intuition about leverage is often backwards.
- High Leverage Intervention
Look for the structural change that produces large effects for small effort.
Find the high-leverage intervention point
- Highest Leverage Change
Leverage points are places in a system where a small change can produce large shifts in behavior. Donella Meadows ranked them by structural depth in her widely cited 1999 paper: numbers and parameters are low-leverage; feedback loops, goals, and the rules of the system are medium-leverage; and the paradigm from which the system arises is highest-leverage of all. The counterintuitive finding is that people’s intuition about leverage is often backwards.
- Leverage Point Hierarchy
Leverage points are places in a system where a small change can produce large shifts in behavior. Donella Meadows ranked them by structural depth in her widely cited 1999 paper: numbers and parameters are low-leverage; feedback loops, goals, and the rules of the system are medium-leverage; and the paradigm from which the system arises is highest-leverage of all. The counterintuitive finding is that people’s intuition about leverage is often backwards.
- Leverage Points Systems
Leverage points are places in a system where a small change can produce large shifts in behavior. Donella Meadows ranked them by structural depth in her widely cited 1999 paper: numbers and parameters are low-leverage; feedback loops, goals, and the rules of the system are medium-leverage; and the paradigm from which the system arises is highest-leverage of all. The counterintuitive finding is that people’s intuition about leverage is often backwards.
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