Coaching practices for Plan Robustness

Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Plan Robustness, these are the strongest matches in the current practice library.

Does this sound like the set of challenges you might be facing?

  • My whole plan is a chain where every link has to hold
  • My plan feels solid until I notice it quietly depends on a whole stack of things just going my way
  • I keep wanting to lock in the single most optimized version of the plan, but I can feel how fragile that gets if the world shifts
  • I’m all-in on this plan and can barely make myself imagine it going wrong
  • I’m about to bet a big plan on the way things have always worked, and a quiet voice is asking whether the ground rules here could just shift out from under me

Practices that may help

  1. Design decisions so they work even if some things go wrong
    Ask: does this plan require everything to go right? If so, redesign it.
    Margin of Safety
  2. Name the assumptions that must hold for the plan to work
    Every plan rests on assumptions — list them and ask how likely each one is.
    Margin of Safety
  3. Prefer positions with optionality over positions with precision
    In uncertain environments, prioritize options to pivot over optimized fixed positions.
    The Ludic Fallacy: When You Mistake Real Life for a Game
  4. Run a pre-mortem from the outside-view perspective
    Imagine the project has failed — then ask which base-rate failure type caused it.
    The Outside View
  5. Check whether the rules of your domain are actually stable
    Before applying any probability model, ask whether the rules governing outcomes could change mid-game.
    The Ludic Fallacy: When You Mistake Real Life for a Game
  6. Run a pre-mortem before committing to a plan
    Imagine the plan has already failed and ask what went wrong.
    Confirmation Bias: Seeing What You Expect to See
  7. Map and stress-test your key assumptions
    Before executing, list the assumptions the plan depends on — then ask which ones would kill it if wrong.
    Red Teaming: Stress-Testing Plans Before They Fail
  8. Resist the pull to optimize parameters when structure is the problem
    Notice when you are adjusting numbers and ask whether the structure is the actual problem.
    Leverage Points
  9. Rebuild from fundamentals and stress-test it
    Reassemble a solution from verified parts, then attack it to find where it breaks.
    First-Principles Thinking, Made Usable
  10. Trim model complexity
    Prefer the simplest model of a situation that still fits all the evidence.
    Occam’s Razor: Prefer the Simpler Explanation

Related concerns

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