Your AI research takes longer than it should. The query is the problem.

The tool is fast.

Most people open the research tool the same way they open a search engine. Type a topic. See what comes back. Scroll until something looks useful.

That habit made sense for browsing.

For research with a decision at the end, it wastes time.

Vague queries return summaries of things you already know. You get a confident paragraph that confirms the obvious, with no real signal about what you were actually trying to find out.

The session ends. You have notes. You still do not have an answer.

The issue is that the model cannot read your intent. It only works with what you give it. And "latest trends in B2B sales" tells it almost nothing about what you need.

Before you open any research tool, write three things down:

- What decision does this research need to support?

- What would shift your position if you found it?

- What do you already believe that might be wrong?

That takes two minutes.

It also changes the query completely. Suddenly you are asking the model to find evidence that challenges a specific assumption, or to surface data that would justify a specific move. The model has a job now. A real one.

The output gets more specific.

The session gets shorter.

You end with something you can act on.

The research was always one clarifying question away.

Most people skip writing it down.

1 comment

Your AI research takes longer than it should. The query is the problem.