
Most people try to improve productivity by optimizing parts of their life: a new app, a better routine, a tighter schedule, a nicer to-do list.
Systems thinkers do something different: they zoom out and ask, “What system is producing my results?” Sam Ovens explains this as the difference between component thinking (fixing isolated parts) and systems thinking (understanding the whole).
The good news: you don’t need to be a billionaire to use this. You just need a repeatable way to see your life (and work) as a system.
A system is a loop:
Inputs → Process → Outputs → Feedback → (back into inputs)
Optimizing one component can accidentally damage the whole system. The loop matters because feedback feeds new inputs—your "test and learn" cycle lives here.
If your output is “I’m always behind,” most people try to fix task lists, motivation, discipline, or a new calendar view. A systems thinker asks:
In complex systems, small changes in the right place can create big improvements. One strong rule (like “no notifications during deep work”) can outperform ten small hacks.
People often optimize one part (like a metric or a tool) while harming the overall system. A system can look “improved” in one area while the total result gets worse.
Be specific. Examples:
If the output is fuzzy, the system will drift.
Use this quick template:
1) Inputs (what enters your day)
Examples: meetings, messages, tasks, caffeine, sleep, social media, requests, unclear goals.
2) Process (how you operate)
Examples: context switching, procrastination loops, late-night work, starting many things, perfectionism, batching, deep work blocks.
3) Outputs (what you get)
Examples: incomplete tasks, stress, progress, shipped work, workouts, clean inbox.
4) Environment (what shapes the process)
Examples: phone notifications, messy workspace, unclear priorities, helpful routines, supportive people, time pressure.
5) Feedback (what tells you it’s working or not)
Examples: weekly review, metrics, energy levels, mood, revenue, adherence to habits.
That structure mirrors the system diagram: inputs, process, outputs, environment, feedback.
Ask:
Examples of high leverage:
Run a 7-day experiment:
The feedback loop cycling back into inputs is the core of systems thinking.
Output: No deep work is getting done.
Common wrong fix: “Try harder.”
Systems map:
Leverage point: first 60 minutes each day = deep work + notifications off. You didn’t “become more disciplined.” You changed the system.
Systems thinking becomes powerful when you can see your system clearly over time. Self-Manager’s date-based timeline makes it easier to:
It helps you turn productivity into a system you can observe, adjust, and improve—rather than a daily emotional battle.
That’s systems thinking applied—calm, practical, and compounding.

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