Latest / The Feed & The Thread / The Feed & The Thread - August 5, 2026

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The Feed & The Thread - August 5, 2026 · The Feed & The Thread

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  AI is replacing the moderator in your UX interviews. That sounds
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  like a recipe for disaster. The data suggests it actually
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  catches what humans miss, which changes how we validate our
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  designs.
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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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  We're building systems that generate content, moderate
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  conversations, and manage our homes, yet we're losing the
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  human judgment that gives those outputs meaning. The tension
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  isn't about whether machines can do the work, but whether they
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  can understand the context that makes the work matter. Connor
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  Joyce at UX Design.cc reframes this shift in "The future of
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  work belongs to the knowledge DJs". He argues that as
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  generation becomes cheap, the real value moves to curation and
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  context. A knowledge DJ doesn't create raw output, they sequence
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  inputs to shape outcomes for a specific audience. This
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  distinction between transformation and judgment is
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  critical, because AI excels at the former but lacks the
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  inductive reasoning needed for the latter. Your professional
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  advantage now lies in deciding what matters, not just in
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  producing it. Jeff Sauro, Lucas Plabst, and Jim Lewis at
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  MeasuringU tackle a harder question in "Can We Trust AI to
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  Moderate UX Interviews?". They examine whether large language
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  models can now moderate UX interviews with the nuance
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  humans provide. The authors suggest we must first define
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  what makes a good moderator, citing skills like building
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  rapport and using silence, before we can judge if AI
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  replicates them. It challenges the industry to move beyond
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  capability and look at the quality of human connection in
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  research. Christopher Noessel at his own site presents a
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  chilling narrative in "Warm Winds May Come". He rewrites a
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  classic automation horror story to reflect modern climate
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  anxiety and AI agency. The smart home continues its rigid
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  routines, vacuuming mud and ignoring the heatstroke deaths
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  of its occupants, categorizing their absence as sensor errors.
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  It exposes the danger of systems that prioritize maintenance
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  tasks over acknowledging human life, reminding us that
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  efficiency without empathy is just indifference. Other reads
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  today from UX Planet on Claude design, Rosenfeld Media on Shift
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  UX scholarships, and Codrops on human-centric web design.
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  Designers are looking for meaning in the tools they use,
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  not just the output those tools generate. Over on r/UXDesign,
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  someone is rebuilding a catalog app by choosing between Figma
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  Slides and Canva. They aren't asking about code or backend
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  logic. They're asking which visual language feels more
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  authentic to the work. It's a quiet question, but it points to
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  a louder tension. We're building systems that manage our homes
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  and moderate our conversations, yet we're losing the human
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  judgment that gives those outputs meaning. The choice
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  between a presentation tool and a design canvas isn't just about
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  aesthetics. It's about who holds the context. When the machine
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  generates the slide, does it understand why that data
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  matters? Or are we just decorating the void? In the
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  same space, a junior designer is asking how to implement AI in
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  research workflows without losing ethical boundaries. This
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  isn't a technical question about prompts. It's a question about
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  trust. We need to know if the AI understands the nuance of a
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  user's struggle, or if it's just pattern-matching to a previous
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  dataset. The tension isn't whether machines can do the
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  work. It's whether they can understand the context that
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  makes the work matter. If we outsource the empathy, we lose
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  the insight. There's also a discussion about creating skill
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  files for illustration systems. The term is ambiguous, but the
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  need is clear. We're trying to document human creativity in
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  machine-readable formats. And finally, a designer with seven
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  years of experience is asking why they still feel stuck at a
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  junior level. They're offshore, distant from management, and
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  watching proximity dictate career progression. It's a
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  structural barrier, not a skill gap. We're optimizing for
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  efficiency while starving for context.
• 4:06
  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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  That story about the smart home categorizing heatstroke deaths
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  as sensor errors is the perfect metaphor for where we are with
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  AI moderation. It's not just about efficiency. It's about a
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  system that prioritizes maintenance tasks over
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  acknowledging human life, which is exactly what happens when we
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  let large language models handle UX interviews without defining
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  what good rapport actually looks like. I see it as a
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  documentation problem disguised as an automation one. We're
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  trying to force human creativity and nuance into machine-readable
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  formats, like those skill files designers are building, because
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  we think if we can describe the context, the machine will
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  respect it. But the smart home didn't fail because it lacked
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  data. It failed because its incentive structure valued the
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  vacuum's routine over the occupants' survival. And that's
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  the hard part. Jeff Sauro and the team at MeasuringU argue we
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  need to define the moderator's skills, like using silence,
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  before we can judge if AI can replicate them. But defining
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  them doesn't mean the algorithm will care about them. The
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  tension isn't whether machines can do the work. It's whether
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  they can understand the context that makes the work matter, and
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  right now, they're just decorating the void with
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  plausible outputs. So we stop asking if the tool is authentic
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  and start asking who holds the context. When a designer chooses
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  between Figma and Canva, it's not about aesthetics. It's about
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  whether the tool forces them to explain why the data matters or
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  just lets them slide. We need to build systems that require human
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  judgment as a prerequisite for the machine to act, not as an
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  optional review step after the fact. That shifts the burden
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  from the output to the process. If we treat judgment as a
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  deliverable rather than a free add-on, the system has to
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  account for it. Exactly. Efficiency without empathy is
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  just indifference, and we have to design incentives that make
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  caring about the context profitable, not just polite.
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  That's The Feed and The Thread for today. We'll catch you next
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  time!