A simple habit of asking "why" again after you think you already have the answer — until you reach the cause that actually fixes the problem.
In one sentence: when something goes wrong, ask "why did that happen?" about the answer you just gave, and repeat roughly five times, until you land on a cause that, if changed, would actually prevent the problem from coming back.
Developed inside Toyota's production system in the mid‑20th century and later adopted across Lean and Six Sigma practice, it is one of the simplest root‑cause tools available: no software, no training class, no data set. Just discipline about not stopping too soon.
Where this model sits relative to other problem‑solving tools, so you know when to reach for it.
Goes well past the symptom, but stays faster than a full investigation.
A clear repeatable format, but light enough to run from memory.
Works alone, but strongest in a short group conversation after an incident.
Best suited to problems with one dominant causal chain, not tangled webs of causes.
A delivery truck broke down on the highway. At each step, pick the answer that actually digs deeper instead of just restating the symptom.
Here is the full reasoning for the truck example above, including what to do with the answer once you have it.
Describe a real, recurring problem and get a ready‑to‑use prompt for running a Five Whys session with an AI assistant or in a short team conversation.
Turn this model into something your AI assistant can run on demand — preview it, copy it, or download it as a portable skill file.