Latest / The Feed & The Thread / The Feed & The Thread - June 24, 2026

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The Feed & The Thread - June 24, 2026 · The Feed & The Thread

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  A senior leader bypassed design and compliance using AI. And
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  nobody stopped him. The team was too terrified to speak up, so
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  we're breaking down that silence.
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  Welcome to The Feed and The Thread, brought to you by
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  Chicago Camps. Leadership By Design is on Thursday and
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  Friday, September 17 and 18 and tickets are available now! And
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  while you're at it, get caught up on UX fundamentals with five
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  minute UX at five em UX dot com. The Feed & The Thread is
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  available online at feed and thread dot com to submit your
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  feeds, or download our app for all the feeds and threads
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  delivered right to your pocket.
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  The tension between human intuition and algorithmic output
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  is reshaping how we define user needs. We're moving past simple
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  tool usage into deeper questions of epistemology. Jim Lewis and
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  Jeff Sauro at MeasuringU make a case for structure in "What Are
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  the Different Types of Synthetic Users?". They propose a taxonomy
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  for synthetic users based on how grounded they are in real human
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  data. Like birds, these AI entities are defined by a
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  constellation of traits, not just one feature. This
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  classification helps us distinguish between weak role-
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  playing prompts and robust research-backed simulations. It
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  forces us to admit that not all AI personas are created equal.
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  Hiroshi Sato writes about this at UX Design.cc in "What sits on
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  the engawa". He uses the Japanese concept of the engawa
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  to describe the space where latent user wishes emerge.
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  Traditional methods often miss these needs because users can't
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  yet articulate them. Designers must look beyond explicit
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  requests to find those subtle tensions. It's about
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  interpreting the ambiguous space rather than just optimizing
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  existing behaviors. Zafer Bilda and Linda Candy at ACM
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  Interactions challenge the partnership narrative in "Beyond
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  Partnership: What Designers Discover Working with AI".
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  Working with AI reveals hidden biases in our own intuition and
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  design processes. It forces us to confront the black box nature
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  of AI outputs. We discover new ways to validate assumptions
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  that were previously obscured. This isn't just about
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  efficiency; it's about reconstructing how we know what
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  we know. Other reads today from UX Design.cc on modernism and
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  ACM Interactions on AI's impact on HCI.
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  Senior leaders are bypassing design governance with AI tools.
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  Over on r/UXDesign, a practitioner describes a crisis
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  where a senior leader built an app using artificial
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  intelligence while ignoring compliance teams. The leader
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  plans to launch without audit, using political influence to
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  silence dissent. This isn't just a process failure. It's an
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  epistemological clash. The leader trusts algorithmic speed
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  over human verification. For us, the tension is real. We're
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  moving past simple tool usage into deeper questions of who
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  defines user needs. When speed overrides safety, the definition
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  of quality shifts entirely. Also on r/UXDesign, designers
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  are questioning whether Dribbble is covertly harvesting their
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  interactions to train internal models. The platform's new
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  verification process feels less like security and more like data
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  collection. This suspicion highlights a growing tension
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  between platform monetization and user trust. We're not just
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  using tools anymore. We're potentially annotating them. If
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  our daily friction becomes training data, the boundary
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  between user and labor blurs. That changes how we view our own
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  digital footprint. A recent graduate on r/UXDesign shares
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  the struggle of sending eighty applications with no offers in
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  twenty twenty-six. Junior roles are nearly extinct, and senior
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  designers are competing for entry-level positions. This
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  reveals a structural shift in the industry. The barrier to
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  entry isn't just skill anymore. It's access. When experience is
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  required for roles that traditionally built experience,
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  the pipeline breaks. We have to rethink how we validate
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  potential when the traditional ladder disappears. Designers on
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  r/UXDesign are asking what real problem nobody actually talks
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  about during formal reviews. The goal is to uncover hidden
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  tensions that polite collaboration masks. Honest
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  critique is essential for effective iteration. But
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  professional politeness often stifles it. If we can't voice
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  friction, we can't fix it. This question exposes the gap between
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  surface-level harmony and actual design progress. We need spaces
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  where dissent is constructive, not dangerous. Finally, a
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  senior designer on r/UXDesign seeks advice on transitioning to
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  an individual contributor role in-house. The challenge is
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  maintaining leadership influence without direct reports. This
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  touches on a critical shift in how we define authority.
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  Influence no longer comes from title. It comes from ownership
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  and trust. When you own a foundational product bet, your
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  impact must be visible, not mandated. That requires a
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  different kind of leadership. The common thread today is
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  authority. Whether it's a leader bypassing governance or a
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  designer losing status, the question of who decides what
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  matters is changing fast.
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  Chicago Camps is hosting Leadership By Design on Thursday
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  & Friday, September 17 & 18. It's an online event, so you can
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  join from anywhere in the world! Tickets are free, thanks to the
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  generosity of the community! If it's within your budget, you can
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  purchase a general admission ticket for only twenty six
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  dollars - with limited early bird tickets at only fifteen
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  dollars. Get tickets now at Chicago Camps dot org.
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  The taxonomy for synthetic users forces us to admit that not all
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  AI personas are created equal. We have to stop treating a weak
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  role-playing prompt the same as a research-backed simulation.
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  It's a structural issue. If we don't define the grounding, we
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  can't trust the output. Exactly. And that connects
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  directly to the crisis on Reddit where a leader is launching an
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  app without audit. He's treating speed as the only metric. He
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  trusts the algorithmic output over human verification. That's
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  not just a process failure. It's an epistemological clash. He
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  thinks the tool defines the truth. We have to prove that
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  judgment still matters. But here's the tension. Bilda and
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  Candy argue that working with AI reveals hidden biases in our own
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  intuition. Maybe the leader isn't wrong to trust the data.
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  Maybe we're just bad at articulating why our intuition
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  is superior. We need to validate assumptions that were previously
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  obscured. That's a dangerous pivot. Validating bias isn't the
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  same as replacing safety. If we let speed override verification,
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  the definition of quality shifts entirely. We can't just say
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  we're discovering new ways to know things. We have to ensure
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  those ways don't exclude compliance or user safety. So
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  the standard changes. We move from defending intuition to
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  documenting the gap between algorithmic speed and human
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  verification. Right. The goal isn't to slow down. It's to make
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  the invisible risks visible enough that they can't be
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  ignored by political influence.
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  That's The Feed and The Thread for today. We'll catch you next
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  time!