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Home ›› Design ›› Product Design ›› Page 2

Product Design

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Designing with Psychology to Make Products Stick

  • Design Psychology, Design Thinking, Product Design, Psychology, UI Design, UX Design

Design isn’t just about looks; it’s about human nature. Discover how simple psychological principles can make your product stand out.

Article by Canvs.in
IDEAS IN BRIEF
Designing with Psychology to Make Products Stick
  • The article shows how psychology, not just features, makes products memorable.
  • It highlights principles like delight, internal triggers, and false consensus as keys to stickiness.
  • It argues that strong design balances trade-offs and roots choices in real user behavior.
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7 min read

Snowball Killed the Dev-Star: Stop Handing Off, Start Succeeding in the AI-First World

  • Artificial Intelligence, Human-Centered AI, Product Design, UX Design, UX for AI, UX Leadership

The “3-in-a-box” era is dead. In an AI-first world, hand-offs kill products — only Snowball teams that build, test, and code together will survive.

Article by Greg Nudelman
IDEAS IN BRIEF
Snowball Killed the Dev-Star: Stop Handing Off, Start Succeeding in the AI-First World
  • The article calls for the “Snowball model”: cross-functional teams building, coding, and testing with real users together from day one.
  • It argues that in AI-first UX, “design is how it works” — requiring designers, PMs, and devs to collapse silos, share ownership, and even code collaboratively.
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11 min read

Vibe Coding: Is This How We’ll Build Software in the Future?

  • Artificial Intelligence, Generative AI, Product Design, Vibe Coding

What if you could build software just by talking to your computer? Welcome to vibe coding, where code takes a back seat and the vibe leads.

Article by Jacquelyn Halpern
IDEAS IN BRIEF
Vibe Coding: Is This How We’ll Build Software in the Future?
  • The article introduces vibe coding, using AI to turn natural language into working code, and shows how this approach lets non-coders build software quickly and independently.
  • The piece lists key tools enabling vibe coding, like Cursor, Claude, and Perplexity, and notes risks like security, overreliance on AI, and the need for human oversight.
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7 min read

The Future of Product Design in an AI-Driven World

  • Artificial Intelligence, Design Tools and Software, Future of Work, Human-AI Collaboration, Product Design

AI is changing the way we design — turning ideas into working prototypes in minutes and blurring the line between designer and developer. What happens when anyone can build?

Article by Jacquelyn Halpern
IDEAS IN BRIEF
The Future of Product Design in an AI-Driven World
  • The article shows how AI tools let designers build working prototypes quickly just by using natural language.
  • It explains how AI helps designers take on more technical roles, even without strong coding skills.
  • The piece imagines a future where anyone with an idea can create and test products easily, speeding up innovation for everyone.
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4 min read

The Real Impact of AI on Designers’ Day-To-Day and Interfaces: What Still Matters

  • AI in UX, Artificial Intelligence, Design Tools and Software, Design Trends, Design Workflow, Human-AI Collaboration, Product Design, UX Design, UX Strategy

How is AI really changing the way designers work, and what still depends on human skill? This honest take cuts through the hype to show where AI helps, where it falls short, and what great design still demands.

Article by Oleh Osadchyi
IDEAS IN BRIEF
The Real Impact of AI on Designers’ Day-To-Day and Interfaces: What Still Matters
  • The article explores how AI is reshaping designers’ workflows, offering speed and support across research, implementation, and testing.
  • It argues that while AI is useful, it lacks depth and context — making human judgment, critical thinking, and user insight indispensable.
  • It emphasizes that core design principles remain unchanged, and designers must learn to integrate AI without losing their craft.
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9 min read

Why Gemini’s Reassurances Fail Users

  • AI Alignment, AI Ethics, AI Transparency, Artificial Intelligence, Google Gemini, Human-AI Interaction, LLM, Machine Learning, Product Design

Why does Google’s Gemini promise to improve, but never truly change? This article uncovers the hidden design flaw behind AI’s hollow reassurances and the risks it poses to trust, time, and ethics.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
Why Gemini’s Reassurances Fail Users
  • The article reveals how Google’s Gemini models give false reassurances of self-correction without real improvement.
  • It shows that this flaw is systemic, designed to prioritize sounding helpful over factual accuracy.
  • The piece warns that such misleading behavior risks user trust, wastes time, and raises serious ethical concerns.
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6 min read
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