Latest / The Feed & The Thread / The Feed & The Thread - October 12, 2026

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The Feed & The Thread - October 12, 2026 · The Feed & The Thread

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  Apps now know your habits better than you do. So the data is
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  shaping your choices. You've become a metric to yourself, and
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  that shift is the real design challenge.
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  Welcome to The Feed and The Thread, brought to you by
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  Chicago Camps. The Feed & The Thread is available online at
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  feed and thread dot com to submit your feeds, or download
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  our app for all the feeds and threads delivered right to your
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  pocket.
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  The tools we built to understand users are starting to define
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  them. We're past the stage of asking if AI is fast enough. Now
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  we have to ask if it's honest. And if our reliance on data is
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  quietly eroding the human intuition that makes design work
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  in the first place. Fabricio Teixeira at UX Design.cc curates
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  a collection of arguments in "AI-generated UI, What the AI
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  era owes you, Amazing Glass, Jev for UX" that challenge the
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  prevailing narrative of AI- driven design. The core critique
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  is that AI-generated UI feels like fast design, but it lacks
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  the depth and moments of awe found in hand-crafted
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  experiences. It also highlights the ethical dangers of cargo
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  cult rituals, where companies adopt AI terminology without
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  substantive outcome improvements. We risk shipping
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  shallow solutions every time we mistake speed for quality. Bas
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  Wallet explores the concept of the Homo Metricus in "How apps
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  know us better than we do and influence our decisions",
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  describing a user who understands themselves primarily
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  through app-generated scores. Using their own transition from
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  a free-spirited cyclist to a data-obsessed Strava user, they
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  argue that metrics like heart rate and power output have
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  become authoritative authorities. These numbers
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  override bodily sensations and replace intuitive connection
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  with the environment with a constant stream of data. That
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  rewrites the assumption that we know our own limits better than
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  an algorithm does. Other reads available from UX Collective on
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  ethical design and UX Design.cc on user behavior.
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  Today's threads circle a single, quiet question: when we hand the
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  wheel to AI, do we keep the human seat? It's less about
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  speed and more about whether the machine actually understands the
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  person on the other side of the screen. Over on r/UXWriting, a
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  small AI education team in Pune is hiring a junior writer for US
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  high school content. The catch is the time zone, which means
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  late nights for the candidate, with housing provided as a perk.
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  The role leans on curiosity over technical background, which
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  feels right for a field that values instinct. But it also
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  highlights a growing divide: the tools are global, yet the labor
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  is still local, and the cost is often paid in sleep. In
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  r/UI_Design, someone shared a furniture rental homepage
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  redesign that swaps generic templates for a product-led
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  layout. The core tension is whether showing prices
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  immediately feels helpful or just too salesy for a rental
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  brand. There's a real risk here. If the interface leads with the
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  transaction, it can erode the trust that makes a rental
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  service feel safe. Design isn't just about clarity; it's about
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  the emotional permission to say yes. Speaking of interfaces, a
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  designer posted about Swiggy using animated video onboarding
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  for a new feature. The question is whether this aids
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  understanding or just makes the demo look polished. I think it's
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  the latter. When we prioritize aesthetics over functional
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  clarity, we're not designing for the user; we're designing for
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  the portfolio. And that's where the honesty gap widens. A CS
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  student over on r/UI_Design built a study app for classmates
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  and admits to being design-blind after months of staring at the
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  same screens. They're asking for fresh eyes to break their
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  subjective bias. This is the human intuition we're losing.
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  When we rely too heavily on data to validate our work, we forget
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  how to trust our own gut, which is exactly what makes good
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  design work in the first place. We're building tools to
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  understand users, but we're starting to define them by our
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  metrics. The AI's speed isn't the issue. We need to ask if
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  we're still honest enough to see the person behind the data.
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  The Feed and The Thread is brought to you by Chicago Camps.
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  For a weekly and monthly exploration of the patterns and
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  signals across UX, you can also check out Patterns and Signals
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  at the website patterns and signals dot com. Chicago Camps
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  will have more events in 2027. You can submit to be a speaker
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  at a future event at Chicago Camps dot org.
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  Bas Wallet's piece on the "Homo Metricus" hit a nerve for me,
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  specifically the idea that our reliance on data is quietly
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  eroding the human intuition that makes design work in the first
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  place. I see that tension in the community, too. People are
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  posting about animated onboarding flows that look
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  polished, but they're really just masking a lack of
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  functional clarity. We're prioritizing the aesthetic over
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  the actual understanding, which is a different kind of
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  dishonesty. That's the systemic angle I'm worried about. When we
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  let the algorithm become the authoritative authority, as
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  Wallet describes with Strava users, we stop checking our own
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  bodily sensations. We're outsourcing our judgment to a
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  score, and that's where the honesty gap widens. But I think
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  we're framing it as a loss of intuition when it's actually a
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  loss of trust. If the interface leads with the transaction, like
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  in that furniture rental redesign, we erode the emotional
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  permission to say yes. The user needs to feel safe and informed.
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  So the problem is the assumption that the data knows our limits
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  better than we do. That's a dangerous shift in power, and
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  it's why AI-generated UI feels shallow. It's fast, but it lacks
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  the depth of hand-crafted moments. Exactly. It's cargo
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  cult design. We're adopting AI terminology without substantive
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  outcome improvements. We're shipping shallow solutions
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  because it's easier, and that's the primary danger. So the
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  question is whether we're keeping the human seat in the
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  driver's seat. We need to design for the moments of awe, not just
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  the metrics. And that's the skill we need to build back. The
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  ability to recognize when a number is authoritative and when
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  it's just a number. We have to design for the intuition.
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  That's The Feed and The Thread for today. We'll catch you next
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  time!