174 articles in Product Management

The critical difference between empowered product teams that solve problems and feature teams that just build what they're told. Most companies have feature teams and don't realize it.
Basecamp's alternative to Scrum and Kanban. Instead of sprints, use six-week cycles with two-week cooldowns. Shape work before building: define the appetite (time budget), narrow the problem, and design at the right level of abstraction. Small batch vs. big batch projects. Gives teams full autonomy within fixed time constraints. Influential in startup and product circles.
Prospect theory, which won Kahneman and Tversky the Nobel Prize, demonstrates that people evaluate outcomes relative to a reference point rather than in absolute terms, and that losses loom larger than equivalent gains. This explains why customers are more outraged by a $5 surcharge than they are pleased by a $5 discount. The article maps prospect theory principles to practical business decisions including pricing strategy, contract design, and change communication, showing how framing around reference points dramatically shifts acceptance rates.
How companies like Dropbox, Slack, and Zoom built products that drive their own adoption. Covers the PLG flywheel: deliver value before capturing it, invest in the self-serve experience, use data to find conversion moments, and design for virality. Includes practical frameworks for measuring and improving product-led growth metrics.
Lateral thinking deliberately breaks established patterns of thought to generate novel solutions that logical analysis alone cannot reach. De Bono's techniques including random entry, provocation, and reversal help teams escape fixation on conventional approaches. The article demonstrates how companies like 3M and IDEO use structured lateral thinking sessions to produce innovations that vertical thinking consistently misses.
Marty Cagan on why the most important thing a product leader can do is decide what NOT to build. Covers prioritization frameworks: value vs. effort, RICE scoring, opportunity scoring, and cost of delay. But argues that frameworks are secondary to having a clear product strategy that enables you to say no with confidence. Essential PM skill development reading.
The sunk cost fallacy causes organizations to continue investing in failing projects because of prior investments rather than future value, wasting an estimated 15-20% of total project budgets. Psychological factors including ego investment, organizational commitment, and loss framing make rational project termination nearly impossible without structural interventions. The article provides specific mechanisms including kill criteria established at project inception, independent review boards, and rotation of project owners to overcome escalation of commitment.

A step-by-step framework for measuring and optimizing product/market fit using the Sean Ellis test, user segmentation, and a systematic approach to building what users love.
Marty Cagan explains the difference between product vision and company mission, and why both matter. The product vision describes the future you're trying to create (2-5 years out), while mission is the organization's purpose. Covers how to create a compelling vision that inspires the team, attracts talent, and guides strategy without being too prescriptive.
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.
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.
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 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.

Behind every great product there is someone who led the product team to combine technology and design to solve real customer problems in a way that meets the needs of the business.
Explores how organizations become trapped in a cycle of building features without understanding whether they create value. The output trap: measuring success by number of features shipped rather than outcomes achieved. Shows how to shift from project-based to product-based thinking, and from outputs to outcomes. Critical reading for product teams.

How the internet has fundamentally changed the competitive landscape by enabling aggregators to own the customer relationship while commoditizing suppliers.
How to validate business ideas through customer conversations without leading the witness. Key rules: talk about their life, not your idea. Ask about specifics in the past, not generics about the future. Talk less, listen more. Never ask 'would you use this?' (everyone says yes). Instead ask about their current behavior, pain points, and what they've already tried. Essential for lean startup methodology.
Paul Graham's influential essay on how the most successful startups get off the ground by doing things that don't scale. Recruit users manually, give insanely great customer service, do things by hand before automating. The initial effort to get a startup going is fundamentally different from what it takes to sustain one. Required reading at Y Combinator and startup courses worldwide.
The most common unscalable thing founders have to do at the start is recruit users manually. You can't wait for users to come to you. You have to go out and get them.
Steve Blank explains why the lean startup methodology has changed entrepreneurship education and practice. Build-Measure-Learn feedback loops, minimum viable products, and pivots replace elaborate business plans. Covers how this approach has been adopted by GE, Qualcomm, and Intuit, and is now taught at Stanford, Harvard, Columbia, and other top programs.