Chris Becker on bringing UX scenarios to life with AI (Glaringly Obvious)

Using AI
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How can we define UX scenarios that move beyond guesswork and start with better inputs? Chris Becker has a practical answer that combines classic design storytelling with AI tools.

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In our conversation, Chris shared how he’s been testing this approach in his workshops. He outlines a five-step process, shown in the infographic, that uses tools like ChatGPT and Visual Electric to build realistic personas, generate user actions, and map emotional risks and funnel stages. All of this happens before a single wireframe is created. You can read the article on LinkedIn

Here are the short clips to watch:

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One key point from the interview: AI is not a replacement for research. It helps speed up early thinking, so teams can sketch faster, test ideas, and reflect on their assumptions before committing to a direction.

This kind of approach is useful when you want to define UX metrics like comprehension, effort, and emotional response early in the process and collect real feedback using tools like Helio.

What do you think?

  • Have you used AI to build out personas or scenarios?
  • Do you include emotional highs and risks in your early UX metrics?
  • How do you turn early scenarios into something you can measure?

Let’s talk about how we define UX metrics during ideation and make them useful for decision-making.

2 Likes
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I’ve found AI to be SUPER useful when prototyping, asking questions, and building features (once you have the right requirements in mind). It always seems to perform on “dumb” work more successfully than having it take on the core of an idea (as you have to help guide it on what YOU want).

I think that building personas and scenarios would be very useful. I’ll have to give this a try and come back with some results.