The idea
Understanding the raw problem can reveal structure, noise, constraints and opportunities that determine what kind of solution is appropriate.
Worked example · illustrative
Buying storage before looking at the clutter
Situation. You want to make the hallway easier to use and begin comparing shoe cabinets. Before ordering, you spend a week noticing what blocks the space and when.
The tempting conclusion. A larger cabinet will solve the clutter problem.
What changes the view. The main obstruction turns out to be bags and wet coats dropped near the door. Most shoes already fit in the existing storage. Observing the actual items and household routine changes the problem from insufficient shoe capacity to a lack of convenient places for arriving home with full hands.
What this supports. Try hooks and a reachable bag shelf before buying a larger cabinet. This does not prove that more storage will never help; it gives you a better starting hypothesis. Stop inspecting once you understand enough to try a proportionate change and learn from its use.
Useful when
Watch for
Inspection can itself become analysis paralysis. The objective is better hypotheses, not perfect understanding.
Where this came from
Applied machine learning