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Design Process

Read these first

Learn about common Agile anti-patterns. Lessons from Laura Klein.

Article by Paivi Salminen
Unhappy Agile Teams Are Unhappy in Familiar Ways
  • The article makes a sharp point: struggling Agile teams love to think their problems are unique. They rarely are.
  • It breaks down the traps that quietly kill Agile teams, like endless feature shipping, siloed workflows, and design treated as an afterthought.
  • The piece reminds us that looking Agile and actually being Agile are two very different things.
Share:Unhappy Agile Teams Are Unhappy in Familiar Ways
6 min read

Lean UX and User-Centered Design share the same heart — empathy for users — but differ in pace and practice. This piece shows how Lean UX turns UCD principles into a faster, data-driven approach for modern teams.

Article by Paivi Salminen
Lean UX vs. User-Centered Design
  • The article explains that while both Lean UX and User-Centered Design focus on users, Lean UX adapts UCD principles for speed, collaboration, and rapid learning.
  • It argues that Lean UX evolves user-centered thinking into an agile, data-driven process that helps teams design the right thing faster.
Share:Lean UX vs. User-Centered Design
3 min read

As AI takes on more of the solution work, the real craft of design shifts to how we frame the problem. This piece explores why staying with uncertainty and resisting the urge to rush to answers may be a designer’s most powerful skill.

Article by Morteza Pourmohamadi
The Frame, the Illusion, and the Brief
  • The article highlights that as AI takes over more of the solution work, the designer’s true craft lies in framing the problem rather than rushing to solve it.
  • It shows how cognitive biases like the need for closure or action bias can distort our perception, making careful problem framing essential for clarity and creativity.
  • The piece argues that framing is itself a design act — a practice of staying with uncertainty long enough to cultivate shared understanding and more meaningful outcomes.
Share:The Frame, the Illusion, and the Brief
3 min read

AI design tools are here, but is your team ready? This article shows how to integrate them into real workflows, boost early-stage momentum, and build the skills that will shape design’s AI-powered future.

Article by Jim Gulsen
Is Your Team Ready for AI-Enhanced Design?
  • The article explores how AI design tools can accelerate early-stage workflows like wireframing and prototyping without disrupting established team processes.
  • It highlights the importance of integrating AI thoughtfully into collaborative environments, using tools like Lovable and Figma Make as case studies.
  • The piece argues that teams should start small, build prompting skills, and treat AI as a momentum booster, not a full design replacement.
Share:Is Your Team Ready for AI-Enhanced Design?
8 min read

Discover how breaking down silos and embracing cross-functional collaboration can lead to smarter, more user-centered design — and better products for everyone.

Article by Rodolpho Henrique
Beyond the Design Silo: How Collaboration Elevates UX
  • The article explores how siloed UX design practices can hinder product success and argues for cross-functional collaboration as essential to creating meaningful user experiences.
  • It outlines the benefits of working closely with product managers, engineers, and stakeholders to align user needs with technical feasibility and business goals.
  • The piece provides real-world collaboration examples across research, prototyping, design systems, and accessibility to show how teamwork leads to more innovative and effective UX outcomes.
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4 min read

Data visualization isn’t just about charts — it’s about telling a clear and compelling story. This article unpacks a wide spectrum of essential principles for making data easy to understand, honest, and engaging. Ready to transform complex numbers into meaningful insights?

Article by Jim Gulsen
The Ultimate Data Visualization Handbook for Designers
  • The article serves as a comprehensive guide for elevating visualization work, combining technical expertise with design principles to help designers transform raw data into meaningful insights.
  • It provides a point of reference for strategies, methods, and best practices to create more effective and impactful data visualizations.
  • The piece recommends tools and resources that design professionals can immediately implement to enhance the clarity and persuasiveness of their data storytelling.
Share:The Ultimate Data Visualization Handbook for Designers
23 min read

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