What problem does it solve? Teams and individuals often commit to major decisions while blinded by confirmation bias, groupthink, and overconfidence. This Skill systematically stress-tests assumptions before architecture choices, roadmap commitments, and other high-stakes decisions so weak links surface before failure does. ## Core Features & Use Cases - Pre-Mortem Analysis: Imagines the decision failed six months later and works backward to identify the weakest assumptions and ignored signals. - Assumption Reversal & Red Teaming: Flips each key assumption to its opposite and attacks the position from competitor, skeptical user, security, and accessibility perspectives. - Attribution-vs-Consistency Check: Labels evidence as cleanly-attributed, consistency-only, or unrelated so causal claims are not built on weak observational data. - Use Case: Before committing to a new product direction, run the 10 challenge questions to expose anchoring bias, untested user segments, and missing measurements, then log the results in a decision log. ## Quick Start Ask the AI to run a devil's advocate review on your current product decision, listing the weakest assumptions and evidence gaps.
