Intuitive decision making is based on:

Question

BlackTom AI · Accepted Answer

The question asks about the basis of intuitive decision making, so we evaluate what each option suggests.
Option 1: 'Extensive data analysis' — This describes a more deliberative, analytical approach often associated with systematic models and explicit data processing, not intuition. Intuition typically relies less on formal data crunching and more on subconscious pattern recognition, so this option mismatches the core idea.
Option 2: 'Experience, feelings, and accumulated judgment' — This aligns with the common understanding of intuitive decision making, which draws on prior experiences, affective impressions, and tacit knowledge built up over time. It explains why people often feel they 'just know' a course of action after years in a domain.
Option 3: 'Crowdsourcing ideas' — Crowdsourcing can inform decisions through external input, but intuition is internal and individual, whereas crowdsourcing is an external data-gathering approach. Thus this option does not capture the essence of intuitive judgment.
Option 4: 'Strict rules and procedures' — Rigid rules and procedures support controlled, rule-based decision making, not intuition. Intuition emerges when quick judgments are made outside or beneath formal procedures, so this choice is misaligned with intuitive processes.
In summary, the option that best fits the concept of intuitive decision making is the one that emphasizes internal experience, affect, and accumulated judgment, rather than external data processing, collective input, or formal rule-based methods.

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