Free Event: How to Build AI Mockups to Showcase Research Recommendations

Why are researchers still "telling" instead of "showing" their recommendations? We spend so much time earning the insight, understanding the target, identifying unmet needs, making sense of messy inputs, then hand it off as a set of words and expect it to carry all that weight.

Why?

Recommendations are inherently fragile. They require someone else to prioritize, interpret, and translate them into something buildable. Multiple points where the original thinking gets diluted, misinterpreted, or lost before anything actually happens.

Today, researchers already have everything needed to build. We frame the right questions, identify what matters and why, and connect dots others miss. That is the hard part. The rest is increasingly within reach. Within an hour's reach.

The work no longer has to stop at recommendations. And the goalposts have already moved.

I’ve been building mockups to show, not tell, my research recommendations. They are tangible enough that others don't have to imagine what those recommendations actually mean. Not perfect or polished. That's not the point. They are real enough to react to. Real enough to move a conversation forward and reduce the interpretation layer.

I’m sharing how I’m doing this in an upcoming free session with UXR Guild: How to Build AI Mockups to Showcase Research Recommendations

If this resonates, I’d love to show you my simple approach and share what’s been working well (and what hasn’t).