LoopProbe

LoopProbe is a web app (with optional desktop companion) for teams who make decisions in messy systems—product growth, ops, policy, climate, supply chain. Users map causal loop diagrams quickly, then attach real metrics to each node (from CSV or connectors) and run lightweight “what-if” simulations to see where reinforcing or balancing loops dominate. It flags likely leverage points, delays, and unintended consequences using a mix of rules and AI-assisted suggestions, but keeps the model transparent and editable. The goal is not perfect prediction; it’s faster, clearer reasoning and better alignment in meetings. Exports include board-ready visuals and a short narrative explaining key loops and assumptions. It’s realistic about uncertainty: confidence scores, assumption logs, and versioning are first-class so teams can learn over time rather than treat the model as truth.