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Decision Making

Solo creators make hundreds of decisions per week with no committee to defer to, no approval process to slow things down, and no one else to blame when something goes wrong. That freedom is wonderful and terrifying in equal measure. These 10 frameworks don't automate your decisions, but they do make your thinking more rigorous, your blind spots more visible, and your worst options easier to identify before you've committed time and money to them. The Regret Minimization Framework alone has been worth more to my career than most MBA content I've encountered.

Eisenhower Matrix Dwight D. Eisenhower (popularised by Stephen Covey) Sort tasks into a 2x2 grid by urgency and importance. The primary insight: most creators neglect the important-but-not-urgent quadrant, which is where actual business growth lives. OODA Loop John Boyd, US Air Force, 1970s Observe, Orient, Decide, Act — then repeat. Competitive advantage goes to whoever cycles through this loop faster than everyone else in their niche. Cynefin Framework Dave Snowden, late 1990s Categorise situations into Clear, Complicated, Complex, or Chaotic domains so you stop analysing complex problems and run experiments instead. Pre-Mortem Gary Klein, 2007 Before a project starts, imagine it has already failed and work backward. Research shows this increases identified failure causes by 30% compared to optimistic planning. Decision Matrix / Pugh Matrix Stuart Pugh, 1991 Evaluate multiple options against weighted criteria defined before you look at the options. Prevents gut-feel from hijacking platform, tool, and niche decisions. Regret Minimization Framework Jeff Bezos, 1994 Project yourself to age 80 and ask which choice you'd regret less. Designed for irreversible, high-stakes decisions where spreadsheets produce no clear answer. Kepner-Tregoe Method Charles Kepner & Benjamin Tregoe, 1965 Four structured thinking processes using is/is-not comparisons. The technique for finding the exact boundary of a problem — and therefore its cause — faster than any other method. Ladder of Inference Chris Argyris (popularised by Peter Senge) A model of how people climb from observable data to sweeping conclusions by selectively filtering facts. Walk back down the ladder before acting on a bad week of sales data. Cost-Benefit Analysis Jules Dupuit / Various, 1848 onwards Compare expected costs and benefits — including opportunity costs and intangibles — before rejecting any investment that feels expensive upfront but has clear long-term returns. RAPID Decision Framework Bain & Company, 2001 Assign Recommend, Agree, Perform, Input, and Decide roles before decisions arise. Eliminates the stalls that happen in small creator teams when nobody knows who owns the final call.
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