Is this research tool idea actually useful, or am I over-engineering it?

I’m experimenting with an idea for a research tool and I’m curious if other developers or researchers would actually find this useful.

The idea is an “Unknown-Unknown Discovery Engine”.

Instead of answering questions like search engines or AI assistants do, it tries to detect the questions people aren’t asking yet.

Example:

You search a topic like electric vehicles.

The system maps common research dimensions:
• technology
• economics
• policy
• supply chains
• environmental impact

Then it analyzes how much coverage each dimension receives across sources.

If one dimension has very little evidence (say supply chain issues or battery recycling), the system flags it as a potential blind spot and generates new research paths.

So instead of giving answers, the tool surfaces missing angles and unexplored research paths.

I’m curious:

• Would something like this actually be useful for developers, researchers, or journalists?
• When you’re researching something deeply, do you ever wish tools helped you discover blind spots like this?

I’m building a prototype locally right now and wondering if this direction is worth pursuing.

Would love honest feedback.