systems-thinking-and-mental-models

You can map complex systems and identify feedback loops by loading one of four toolkits: systemigrams, causal loops, mental-models catalog, or decision-science heuristics. The skill routes to the appropriate toolkit based on your specific question.

Diagnosing unintended consequences from policy reform requires systems-thinking analysis using causal loops and systemigrams to map regulatory landscapes. This identifies high-leverage interventions and reveals underlying stakeholder dynamics causing the issues.

You need mental models and systems thinking for organizational diagnostics when analyzing complex stakeholder dynamics and feedback loops. These decision-science heuristics help identify leverage points and improve clarity in market dynamics or regulatory landscapes.

This systems thinking approach requires no external dependencies beyond provided references. It enforces evidence discipline through built-in source-evaluation, allowing you to analyze organizational diagnoses and market dynamics entirely standalone.

Choosing between systemigrams and causal loops for problem framing depends on your specific question. The skill's internal toolkit router evaluates your query and switches to the appropriate method, ensuring evidence discipline and clear system insights.

You can analyze market dynamics using the iceberg model and decision-science heuristics to map complex systems and identify leverage points. The skill applies evidence discipline via source-evaluation to ensure high-quality decision-making across domains.