Many Interview Intelligence platforms now brag about their “AI-powered, skills-based questions.”

But here’s the uncomfortable truth:

Most of those questions aren’t skills-based at all.

Why?

Because AI models are trained on what’s most common, not what’s most effective.

And in interviews, “common” often means predictable, vague, and easy to fake (Garbage in, Garbage out).

𝗣𝗶𝘁𝗳𝗮𝗹𝗹 #𝟭: 𝗘𝗮𝘀𝘆 𝘁𝗼 𝗰𝗵𝗲𝗮𝘁, 𝘄𝗼𝗿𝗻 𝗼𝘂𝘁 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀

Two vendors proudly promoting their AI question engines showcase these gems on their websites:

• “What’s your experience working with a product team?”

• “How does your previous experience align with the requirements of this role?”

Let’s be honest, they aren’t skills-based.

They’re résumé recaps.

They invite polished, rehearsed answers that reveal very little about what a candidate can actually do.

At Informed Decisions, we do it differently.

We focus on real, work-related scenarios, not generic templates.

Here’s what we’d ask instead 👇

You're hiring a developer, and want to assess their ability to collaborate cross-functionally with Product.

🧩 “Imagine you're mid-sprint and a product manager asks for a last-minute change to a feature spec. Engineering is already deep in implementation.

How would you approach the conversation?

What questions would you ask, what tradeoffs would you raise, and how would you get to a decision both teams can live with?”

That’s how you assess cross-functional collaboration in a job-specific way and also create a realistic job preview.

This is just one of several pitfalls we’re seeing as AI-generated interviews go mainstream.