What problem does it solve? Founders face high-stakes decisions without a disciplined way to weigh options, quantify uncertainty, and respect hard constraints like cash, risk appetite, and capacity. This Skill turns a consequential decision into an explicit, evidence-backed decision record with options, tradeoffs, and learning commitments. ## Core Features & Use Cases - Decision Framing & Value Modeling: Defines the objective, baseline, target, counterfactual, and hard constraints before comparing options. - Risk-Adjusted Option Ranking: Computes risk-adjusted value, expected downside loss, and confidence-weighted value, then ranks options by constraint compliance, reversibility, and time-to-value. - Monitoring & Learning Loop: Produces plans with owners, approvals, leading indicators, stop/scale conditions, and a review cadence, then compares expected versus actual outcomes. - Use Case: A founder asks whether to commit budget to a new growth initiative. The agent loads company context and the digital twin, compares at least three feasible options against the counterfactual, recommends the highest confidence-weighted option that passes every hard constraint, and routes material commitments for human approval. ## Quick Start Use decision intelligence to evaluate whether we should invest in this initiative without exceeding our cash, risk, or capacity limits.
