Flag

We stand with Ukraine and our team members from Ukraine. Here are ways you can help

Get exclusive access to thought-provoking articles, bonus podcast content, and cutting-edge whitepapers. Become a member of the UX Magazine community today!

Home ›› Design ›› Design Thinking ›› The Frame, the Illusion, and the Brief

The Frame, the Illusion, and the Brief

by Morteza Pourmohamadi
3 min read
Share this post on
Tweet
Share
Post
Share
Email
Print

Save

As AI increasingly handles the mechanics of finding solutions, designers are rediscovering the power of framing the problem. This article explores how our cognitive biases — like the need for closure or action bias — can cloud our perception and push us toward premature certainty. By learning to stay with ambiguity and refine the frame, designers can foster shared understanding, make better use of AI-generated insights, and uncover deeper, more meaningful directions for their work.

In design, framing the problem is fast becoming the heart of the human role. As AI, or what I call Program, takes on more of the solution work, our craft shifts toward how we treat the problem.

“AI is not replacing designers; AI is replacing designers who focus on automatable outputs.” The quote and the graphics by Prof Mauricio Mejia

I often think of the Ebbinghaus circles illusion when I consider how we unconsciously avoid problems. Two identical center circles appear different because of the rings around them. Slip a neutral frame over the picture to hide the surrounds, and the center snap to the same size. Remove the frame and the illusion returns. Our perception has not failed; it has simply done what it always does in context.

Ebbinghaus Circle illusion with and without a frame. The graphics by Prof Mauricio Mejia

Problem framing works the same way. Situations, biases, and habits color what we see. Certain cognitive tendencies result in problem aversion:

  • Need for Cognitive Closure (NFC): The urge to land on a firm answer quickly and keep it. In framing, this locks you into the first plausible definition and shuts down alternatives. 
  • Ambiguity Aversion: A preference for known risks over unknowns. In framing, you privilege tidy data and sidestep messy but material factors like culture, values, and politics. 
  • Uncertainty Anxiety: Discomfort with not knowing that pushes you toward premature structure. In framing, this shows up as busywork that soothes nerves rather than clarifies the issue. 
  • Predictive auto-complete (WYSIATI): “What you see is all there is.” The brain fills gaps with familiar patterns and treats the seen slice as the whole. In framing, you mistake first impressions or early research for the full picture. 
  • Action Bias: Movement feels better than reflection. In framing, you jump to solution paths and validate the choice by activity rather than learning.

These are human, not failings. The work is to notice them early and keep a frame in play while the picture talks back. A good frame gathers the team around the heart of what they are trying to solve. It also makes the Program more useful. When the question is well posed, machine-generated options become material for learning rather than noise to manage. Experienced designers are known to stay with the problem longer; however, this is not only about expertise. The very act of staying with the problem and letting it grow instead of moving to the solution space is fruitful, nevertheless.

Regardless of their expertise or domain, designers tend to avoid problem framing or freeze it early in the process. Source: Commonalities Across Designing (Design Computing and Cognition — 2012, Springer)

I find the problem framing stage to be the most underrated aspect of design, as we often associate designing with coming up with solutions. As a designer, it won’t be easy to sell your services for developing problems. However, suppose you pay attention to the times when design has done something of a magical quality. In that case, it is more likely to be about looking at the problem from a new perspective, rather than finding a magical solution. 

Early in my design career, receiving a brief felt like the beginning of a race. I would grab the baton and run towards the solution almost instantly. As I became more experienced, I realized that being given a brief is like being given a small bowl of beans. I could cook them right away into a meal and go home with a full belly. I realized, however, that I could press the beans into the dark soil and stay hungry for a bit longer. Nothing would happen for a while, but if I watered the dirt and resisted the itch to dig everything up to check, I would achieve a much better yield. The choice to remain unfed while something slower takes hold is what living with problems feels like. Sometimes the beans rot; Sometimes they multiply, and a lot depends on how much you trust yourself as a designer.

Framing is not a delay; it is design. When we keep a living frame in play, we trade premature certainty for shared understanding. Spend one extra day with the frame and you compound weeks of delivery. In the end, the best brief is the one we’ve grown together, and that is the work.

Featured image courtesy: Morteza Pourmohamadi.

post authorMorteza Pourmohamadi

Morteza Pourmohamadi
Morteza Pourmohamadi is a senior design leader and systems thinker with 30 years’ experience, including a decade leading managers and multi-disciplinary teams. He partners with government, startups, and enterprise to shape ambiguous problem spaces and align stakeholders. Available for problem-framing facilitation, he helps teams surface assumptions, sharpen briefs, and accelerate delivery.

Tweet
Share
Post
Share
Email
Print
Ideas In Brief
  • The article highlights that as AI takes over more of the solution work, the designer’s true craft lies in framing the problem rather than rushing to solve it.
  • It shows how cognitive biases like the need for closure or action bias can distort our perception, making careful problem framing essential for clarity and creativity.
  • The piece argues that framing is itself a design act — a practice of staying with uncertainty long enough to cultivate shared understanding and more meaningful outcomes.

Related Articles

Another lesson from studying UX with Laura Klein.

Article by Paivi Salminen
The Agile Trap Designers Fall into: Feeding the Beast
  • Agile teams are fast, but designers get stuck in an infinite loop of visual work: redesigning the same components over and over instead of solving real UX problems.
  • Design systems break that cycle, defining the building blocks once, freeing designers to focus on how the product works, not how it looks.
  • When the basics are in place, teams can start working together sooner, prototype faster, and release incremental features without the interface falling apart.
Share:The Agile Trap Designers Fall into: Feeding the Beast
4 min read

Real engagement is about designing experiences that people want to have. Here are some things that games do well that most apps don’t.

Article by Montgomery Singman
Gamification 2.0. Beyond Points and Badges: Designing for Players, Not Metrics. Conclusion
  • Most apps use gamification as a manipulation layer to drive metrics, but people engage with things that are truly worthy of their time, not points or streak guilt.
  • Apps that people stick with do this by designing for intrinsic motivation, making the experience itself rewarding.
  • The true measure of success is whether users feel more capable, accomplished, and enriched for having used your app.
Share:Gamification 2.0. Beyond Points and Badges: Designing for Players, Not Metrics. Conclusion
8 min read

Reveal the three-part kernel that separates real problem framing from simple description.

Article by Morteza Pourmohamadi
A Problem Framing Kernel
  • The piece argues that if you don’t have these three core elements: broadly collecting raw material, connecting elements to surface real tensions, and committing to a point of view, you don’t have a problem frame yet; you have a description.
Share:A Problem Framing Kernel
4 min read

Join the UX Magazine community!

Stay informed with exclusive content on the intersection of UX, AI agents, and agentic automation—essential reading for future-focused professionals.

Hello!

You're officially a member of the UX Magazine Community.
We're excited to have you with us!

Thank you!

To begin viewing member content, please verify your email.

Get Paid to Test AI Products

Earn an average of $100 per test by reviewing AI-first product experiences and sharing your feedback.

    Tell us about you. Enroll in the course.

      This website uses cookies to ensure you get the best experience on our website. Check our privacy policy and