Iceberg model analyzing employee turnover in a tech company...
Describe the visible event
Start with an observed problem and add any records of similar events over time.

Describe a problem or situation and AI builds an iceberg model — visible events on top, then recurring patterns, underlying structures, and hidden mental models that drive the system.
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Iceberg model analyzing employee turnover in a tech company...
Start with an observed problem and add any records of similar events over time.
MyMap groups the material into patterns, structures, and mental models beneath the event.
Ask which claims are observed, which are inferred, and what evidence would test a proposed system change.
An iceberg model examines a situation at four levels: visible events, patterns over time, structures that shape those patterns, and beliefs that may sustain the structures. The deeper layers are prompts for inquiry, not facts established by the diagram.
The model helps teams look beyond a single incident and discuss rules, incentives, and assumptions. It is useful before deciding whether another local fix will address the recurring pattern.
MyMap organizes the situation you describe into the four levels and revises the analysis when you add evidence. The employee-turnover example includes illustrative rates, promotion issues, and proposed beliefs; those details are not findings about your organization.
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Structures are arrangements such as policies or incentives. Mental models are beliefs that may justify those arrangements, such as assuming visible office time means productive work.
It can suggest explanations to investigate. The model needs evidence from your situation before those explanations should guide decisions.
No. Its numbers and statements belong to an illustrative example. Use your own records and interviews to populate an analysis.
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