繪製 AI 系統圖前，先問四個更好的問題

A good idea often arrives as one sentence. A useful map needs more context, but asking every person the same four questions about budget, goal, timeline, and audience misses the point. The questions should follow the idea.

For example, “I want to build a learning companion for students” suggests different unknowns than “I want to launch a creator channel.” The first may need to ask about age group, teacher involvement, connectivity, and what happens when an explanation is wrong. The second may need to ask about format, publishing capacity, audience, and how to learn from early feedback.

A practical question-selection pattern

Extract the idea’s actors and environment. Who is affected? Where will the idea operate?
Find consequential unknowns. Prefer a missing answer that changes the design over a generic fact that only fills a form.
Choose four non-overlapping questions. Each should expose a different decision or constraint.
Give usable options without trapping the user. Suggested answers can speed up the flow, but an “other” path should preserve nuance.
Carry those answers into the map. A question is useful only if the resulting nodes, risks, or next steps change.

The key distinction: four questions are a limit on friction, not a fixed checklist.

A map is a hypothesis, not a verdict

After clarification, a map can surface relationships among the central idea, dependencies, constraints, risks, and next experiments. It should make assumptions visible and leave room for correction. It should not imply that a model has validated demand, safety, or feasibility. Those require evidence outside the map.

At Zextha, the starting flow asks four questions tailored to the idea and turns the answers into a system map. I think the useful standard for this kind of tool is simple: did it help someone identify a better first test?

Try it with your own idea: https://www.zextha.space/

If you have built an idea-discovery flow, how do you decide which question is worth one of the four slots?