525 articles
Liew provides a comprehensive guide to understanding and implementing REST APIs, the backbone of modern digital-first organizations. The article covers HTTP methods, authentication, API design best practices, and practical examples that help non-technical leaders understand why API-first architecture enables scalable digital transformation.
Research reveals that 95% of people believe they are self-aware, but only 10-15% actually are, creating a massive gap between perceived and actual competence. Eurich distinguishes between internal self-awareness (understanding your own values and reactions) and external self-awareness (understanding how others perceive you). The article provides evidence-based techniques for improving both dimensions, with emphasis on seeking feedback and practicing 'what' questions instead of 'why' questions.
Barbara Minto's pyramid principle for structured communication, developed at McKinsey. Start with the answer (conclusion first), then group supporting arguments, then support each argument with data. Every level of the pyramid answers the question raised by the level above. The SCQA framework: Situation, Complication, Question, Answer. Required training for all McKinsey consultants and widely taught in business communication courses.
McCord, former Chief Talent Officer at Netflix, challenges conventional hiring practices and proposes a framework focused on matching specific capabilities to current business problems rather than cultural fit. The article advocates for honest job descriptions, structured interviews, and treating the hiring process as a business strategy rather than an HR function.
Groups amplify individual biases rather than correcting them, leading to groupthink, information cascades, and polarization. Research shows that groups often perform worse than their best individual member on judgment tasks. The article proposes structural fixes including anonymous input rounds, designated dissent roles, and the Delphi method to harness collective wisdom while mitigating group pathologies.
Marty Cagan's comprehensive guide to modern product management. Product discovery (finding the right product to build) is separate from product delivery (building it). Four key risks to address: value (will customers buy it?), usability (can users figure it out?), feasibility (can we build it?), and viability (does it work for our business?). The definitive PM text.
Explains reinforcement learning through the lens of AlphaGo Zero, which mastered the game of Go entirely through self-play without any human data. Covers the core concepts of agents, environments, rewards, and policies that underpin one of AI's most powerful paradigms.
Presents a practical framework for deciding which tasks to delegate, keep, or eliminate based on a matrix of skill level and strategic importance. Includes scripts for how to delegate effectively, set clear expectations, and build in accountability without micromanaging.
Gibbons clarifies the differences between experience maps, journey maps, and service blueprints, three commonly confused UX mapping methods. The article provides a decision framework for choosing the right mapping technique based on scope, focus, and intended use, along with templates and best practices for each approach.
A practical introduction to web accessibility. Covers the four principles of WCAG (perceivable, operable, understandable, robust), common accessibility failures, and how to integrate accessibility into the design process rather than treating it as an afterthought. Includes checklists for color contrast, keyboard navigation, screen reader support, and semantic HTML.
Kohavi and Thomke explain how controlled online experiments (A/B tests) enable data-driven product decisions at scale. Covers experimental design, statistical significance, common pitfalls like peeking at results too early, and how companies like Microsoft and Booking.com run thousands of experiments annually.
Google's Project Aristotle found psychological safety to be the single most important factor distinguishing high-performing teams from average ones, more important than team composition, structure, or resources. Psychological safety means team members feel safe to take interpersonal risks including admitting mistakes, asking questions, and offering dissenting opinions without fear of punishment or humiliation. The article provides six specific practices for building psychological safety including framing work as learning problems, acknowledging fallibility, and modeling curiosity.
Nussbaumer Knaflic presents guiding principles for transforming raw data into compelling visual narratives that drive action. The article covers eliminating chart clutter, directing attention through strategic design choices, and structuring data presentations around a central story arc rather than a data dump.
Amy Edmondson's work on psychological safety: the shared belief that the team is safe for interpersonal risk-taking. Google's Project Aristotle found it was the number one predictor of team effectiveness. Covers how to create psychological safety: frame work as learning problems, acknowledge your own fallibility, and model curiosity. Now central to team management education.
Gibbons introduces service design as a discipline that orchestrates people, processes, and technology to create seamless end-to-end experiences. The article explains service blueprints, backstage processes, and frontstage interactions, showing how service design extends UX thinking beyond screens to encompass the full ecosystem of service delivery.
Reveals that executives spend an average of 23 hours per week in meetings—up from 10 hours in the 1960s—and most consider them unproductive. Provides a systematic approach to auditing meeting culture, including reducing frequency, shortening duration, and improving preparation to reclaim deep work time.
Gallo provides an accessible refresher on A/B testing fundamentals, covering hypothesis formulation, sample size calculation, statistical significance, and common pitfalls. The article bridges the gap between data science and business decision-making, helping managers understand when and how to use controlled experiments to optimize outcomes.
The landmark 2017 paper introducing the Transformer architecture that powers modern AI. Replaced recurrence and convolutions with self-attention mechanisms, enabling massive parallelization and superior performance. This architecture is the foundation of GPT, BERT, and virtually every large language model. The most-cited AI paper of the decade.
TRIZ analyzes patterns from over 200,000 patents to identify 40 inventive principles that resolve technical contradictions, where improving one parameter worsens another. This systematic approach to innovation replaces trial-and-error with directed problem solving based on how similar contradictions have been resolved across industries. Product teams using TRIZ report finding breakthrough solutions in days rather than months, by leveraging existing knowledge rather than relying solely on creative inspiration.

The purpose of product discovery is to quickly separate the good ideas from the bad. We need to validate ideas before we invest the time and money to build them.