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Product Management

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

Find out how to stop building where the data is bright and start building where the problem actually is.

Article by Núria Badia Comas
Stop Building Streetlamp Models: The Decision-First Framework for AI Products
  • The article reveals that most AI projects fail because teams focus on what’s possible instead of what users actually need.
  • It introduces the AI-Question Framework, asking three key questions: Does it matter? Do you have the data? Can you handle the mistakes?
  • The piece concludes that successful AI products start with the right question, not with what the AI can do.
Share:Stop Building Streetlamp Models: The Decision-First Framework for AI Products
5 min read

Learn about the invisible “power grid” that drives successful AI and why runtimes, rather than models, decide who turns pilots into real results.

Article by UX Magazine Staff
An Operating System for Organizations: Why Every Business, Product, and Design Leaders Need Agent Runtime Environments
  • The article argues that most AI projects fail because companies lack the necessary system (a runtime) that allows agents to operate in the real world.
  • It describes how runtimes serve as a “power grid” for AI, helping teams in scaling, managing, and turning pilots into practical business outcomes.
Share:An Operating System for Organizations: Why Every Business, Product, and Design Leaders Need Agent Runtime Environments
5 min read

Uncover the AI-driven future of product management, where execution is automated and staying close to the market is key.

Article by Pavel Bukengolts
The AI-First Operator Is the New Product Manager
  • The article explores how AI tools such as Startup.ai and Ideanote are turning ideas into products, minimizing the need for traditional project management jobs.
  • It stresses that success in product management today depends on staying close to present market signals rather than coordinating or interpreting concepts.
  • The piece highlights that the future belongs to quick thinkers: AI prioritizes ideas over resumes, leveling the playing field for innovators everywhere.
Share:The AI-First Operator Is the New Product Manager
3 min read

Discover how AI can truly empower professionals, guide decisions, and seamlessly integrate into workflows, making work smarter, not harder.

Article by Mauricio Cardenas
The Quintessential Truths of How to Shape AI as a Business Product Integrator Instead of Generative Facilitators
  • The article argues that AI should act as a business product integrator, not just a generative facilitator.
  • It also emphasizes guiding users, building trust through transparency, improving efficiency, and handling edge cases gracefully.
  • The piece highlights real-world examples where AI-enhanced workflows, supported decision-making, and strengthened professional confidence.
  • It concludes that AI’s true value lies in integration, context-awareness, and UX, transforming processes rather than impressing with novelty.
Share:The Quintessential Truths of How to Shape AI as a Business Product Integrator Instead of Generative Facilitators
5 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.
Share:Beyond the Design Silo: How Collaboration Elevates UX
4 min read

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