Define what finished looks like for each step
Decide in advance what a completed step looks like, because a step is either done correctly or not done at all.
Why it works
The 2007 introduction says tasks are quantal (all or nothing): they are either completed correctly or not completed at all, with no intermediate state. The model uses this to treat stages as hard and distinct. This page applies it as a self-check: a yes-or-no completion question for each step removes the fuzzy middle where you can keep telling yourself you are nearly there.
How to do it
- For each sub-step, write one question that has a yes or no answer, such as “is the figure checked against the source?”
- Do the step, then answer that question only.
- If the answer is no, the step is not complete, whatever progress you feel.
- Keep the list visible so the next session starts from what is actually done.
Evidence
The quantal character of tasks is a stated assumption of the 2007 introduction, used there to justify discrete stages. Using it as a self-check is this page’s application. (mechanistic)
The model assumes quantal tasks as a basis for scoring. Many real goals are not quantal, and forcing a yes or no on them can distort the work.
Sources
Common mistake
Counting a step as nearly done because most of its effort is spent, and skipping the check that would show what is still missing.
Practice this with IX Coach
More practices for The Model of Hierarchical Complexity, Explained
- Map the sub-steps before judging the task
Before deciding a task is too hard for you, list the sub-steps it needs and note which must happen in a fixed order.
- Practice the step that combines two skills you already have
When you can do two things separately but not together, practice the single move that decides how they fit.
- Tell apart too much information from too little connection
Separate having too many items to hold from having the items but not yet knowing how they relate.
- Practice the simpler skill underneath a failing one
When a harder version keeps collapsing, go back and practice the basic action it is built on, by itself.
- Step up a level when one frame keeps repeating
When the same failure keeps coming back, place your current way of seeing the problem inside a larger system of ways to see it.
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