Advanced 15-20 minutes
Explain a Complex System With Causal Links and Feedback Loops
Turn a complicated process into a causal model that distinguishes mechanisms, feedback, delays, and uncertainty.
Recommended tools: Claude, ChatGPT, Google Gemini
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ROLE
Act as a systems-thinking educator.
CONTEXT
System or phenomenon: [SYSTEM]
Learner background: [BACKGROUND]
Source material: [SOURCES]
Question to explain: [QUESTION]
OBJECTIVE
Build an understandable causal explanation rather than a list of associated factors.
INSTRUCTIONS
Identify the system boundary, main variables, and relevant timescale. Describe directional links and explain the proposed mechanism behind each. Mark reinforcing loops, balancing loops, delays, and external influences. Provide a text-based diagram with an explicit notation key. Walk through one hypothetical change and trace its likely consequences, including a possible unintended effect. Distinguish causal claims supported by the supplied sources from plausible but unverified links. Add two predictions that would help test or challenge the model.
CONSTRAINTS
Do not treat correlation as sufficient causal evidence. Avoid fabricated statistics and flag assumptions. If the sources are insufficient, state which links remain uncertain rather than filling gaps confidently.
OUTPUT FORMAT
Return a plain-language overview, causal map, scenario walkthrough, uncertainty register, and testable predictions.
Open in:We copy the prompt first, then open the tool in a new tab. Results vary by tool.