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Founders of Small Teams: Ditch the To-Do List, Calculate Your Energy Budget
To-do lists cause anxiety; energy budgets bring focus. This article shows founders how to schedule tasks based on their energy curve to avoid wasting high-energy hours on trivial work.
Stop Guessing Pricing: A Value Anchor Test for Small Teams
Small teams can't afford large-scale price sensitivity tests. Here's a lightweight method using value anchors and micro-commitment experiments to find what users are willing to pay, with a three-step framework and real-world caveats.
Small Team Disagreements: Don't Rush to Persuade, First Identify the Type
Most team arguments boil down to mixing up different types of disagreements. This article offers a framework to distinguish between factual, goal, and value disagreements, with strategies for each—turning debates into productive decisions.
Small Team Exit Interviews: Three Dimensions to Uncover Real Reasons
Exit interviews are not about retention—they're a small team's last chance to spot systemic issues. Use three analysis dimensions to turn departure reasons into actionable improvements.
Small Team Project Kickoff: Don't Write Requirements Yet, List Assumptions First
Project failure often stems from wrong assumptions, not poor execution. This article provides a practical framework for identifying and validating key assumptions before committing to development.
Opportunity Cost: Not a Concept, but a Daily Decision Tool for Small Companies
Small companies have limited resources, and every decision carries hidden opportunity costs. This article provides a simple framework to systematically evaluate opportunity costs in daily decisions, avoiding misallocation of resources.
Thrifty Content Experiments for Small Teams: Test Titles and CTAs with 10% Traffic
Small teams can validate content strategies with minimal experiments. This article provides a concrete framework: choose a variable, set sample size, run the test, and roll out the winner.
Three Minimum Viable Interviews Beat a Hundred Surveys
Small teams can't afford bad data. This article proposes a 'minimum viable interview' approach: three deep interviews, each iteration refining your hypothesis, to get actionable insights fast.
Don't Trust Metrics Alone: Evaluate AI Models by User Behavior
Model metrics don't equal product success. Learn how small teams can anchor model evaluation in user behavior with a low-cost, actionable loop.
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