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Making the Invisible Visible: The most critical deliverable isn't always the design
This video is featured in the UX Watch Party playlist.
Summary
Key Insights
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Visibility creates accountability, which can drive organizational change.
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Organizational blind spots often stem from unexamined assumptions and lack of reflective practices.
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Double-loop learning interrogates underlying assumptions, unlike single-loop learning, which only fixes symptoms.
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Visual anchor objects (e.g., journey maps, experience models) help externalize conflicts and depersonalize disagreements.
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Anchor objects invite collaboration by being just detailed enough to argue with the artifact, not the people.
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Psychological safety is critical to surface invisible issues and protect the messenger.
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The ‘invisible’ in AI—like biases and opaque processes—requires deliberate sense-making and ethical scrutiny.
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Naming vulnerabilities openly can foster trust and make difficult conversations more productive.
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Coalitions formed through workshops and collaboration are essential to support courageous transparency.
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Ethical responsibility in design and AI involves recognizing cascading second- and third-order effects and acting with care.
Notable Quotes
"Visibility creates accountability, and accountability can, hopefully, sometimes create change."
"Once you've seen it, you can't unsee it."
"The difference between single-loop and double-loop learning is the difference between looking through your lens and looking at your lens."
"Anchor objects open up the conversation while focusing it at the same time."
"The argument is not between the people, it’s an argument with the thing."
"Not everything that is faced can be changed, but nothing can be changed until it is faced."
"Courage is the new charisma."
"Psychological safety is still a massive problem in organizations."
"We want radical transparency while adopting radically opaque technology."
"Making the invisible visible is not just good design; it’s sense-making as care."
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