Author: sang min
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What is OKR? Origin, Definition, and How the Framework Works
Learn what OKRObjectives and Key Results) is, where the framework came from, and how it works in practice.
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How Might We (HMW) Questions: A Product Team’s Complete Guide
User research often produces strong insights that never turn into anything. Teams finish weeks of interviews, fill a wall with sticky notes, and still walk into the next planning meeting with a list of features instead of a list of problems. The gap is rarely a shortage of data. The gap is the absence of…
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KJ Technique: A Complete Guide to Structured Sensemaking for Product Teams
The KJ technique helps product teams turn scattered opinions, research notes, and qualitative signals into shared understanding, alignment, and actionable decisions through structured sensemaking.
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What Is an Affinity Diagram? A Complete Guide to UX Research Synthesis
An affinity diagram helps UX teams turn scattered qualitative research into shared understanding by clustering observations into meaningful patterns and actionable insights.
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Concept Map: How to Structure Complex UX Problems
A concept map helps UX and product teams structure complex problems, connect research insights, and build shared understanding before jumping into solutions.
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AI Fluency and the 4D Framework: How to Work Effectively with AI
Some people draft an email with ChatGPT in five minutes. Others spend longer than they would have without it. Some use Claude to structure a report and walk away with a strong outline. Others get a generic summary they have to rewrite from scratch. The tools are the same. The results are not. This gap…
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How to Use the AEIOU Framework Effectively (and 5 Common Mistakes to Avoid)
Most teams do not misuse the AEIOU framework because they forget the five letters. They misuse it by treating observation as a checklist instead of a way to understand behavior in context.
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What Is the AEIOU Framework? A UX Observation Guide
The AEIOU framework helps UX teams understand user behavior in context by analyzing activities, environments, interactions, objects, and users together.
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Is AI Really Making Us Productive? Rethinking the AI Productivity Paradox
AI promised to make work easier, yet many people feel busier and more overwhelmed than ever. This essay explores the AI productivity paradox, why speed without direction creates confusion, and how intentional AI use matters more than ever.
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AI’s Impact on Jobs: Why Output-Centric Roles Are Fading and Expertise Matters More
AI is changing what companies value most. As outputs become cheaper to produce, domain expertise, system-level thinking, and outcome ownership are becoming the real differentiators in the future of work.