I changed how FounderMind handles startup risk after testing the first workflow

I've been refining FounderMind AI, and one thing became clear while testing the first version of the workflow:

A startup idea can look strong overall while having one assumption that could completely break it.

The first approach was closer to an overall evaluation.

But I found that this made it too easy to focus on the conclusion instead of the uncertainty behind it.

So I'm changing the workflow.

Instead of treating risk as one section at the end, I'm testing a more explicit process:

Startup idea → key assumptions → risk level → evidence needed → next validation step

For example:

Assumption: Customers will pay for this workflow.

Instead of simply saying:

"Pricing risk: medium"

the more useful question becomes:

"What evidence would reduce this uncertainty?"

Maybe it's:

That changes the purpose of the analysis.

It's less about predicting whether a startup will succeed.

It's more about helping a founder understand what they need to learn next.

That's the direction I'm currently exploring with FounderMind at Evolvix AI.

I'm sharing this because I'm trying to make the workflow genuinely useful before adding more features.

For founders who have evaluated their own ideas: would you find an "evidence needed" step more useful than a simple risk score?

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