1 Theoretical concepts

1.1 Relevant fields of study

• What fields of study or disciplines might have relevant insights or frameworks for addressing this problem or decision?

1.2 Key terms or concepts

• What specific terms or concepts should be understood in order to fully grasp the problem or decision at hand?

1.3 Mental models

• What mental models or frameworks can be useful for understanding and solving this problem or decision?

2 Previous experience

2.1 Personal experience

• Have you personally encountered similar problems or decisions in the past?
• What did you learn from these experiences that could be applied to the current situation?

2.2 Expert or peer experience

• Have experts or peers in your field or industry encountered similar problems or decisions?
• What did they learn from these experiences that could be useful for you?

2.3 Historical precedent

• Are there any historical examples of similar problems or decisions being addressed?
• What can be learned from these examples that might be applicable to the current situation?

3 Data filter: Noise vs Signal

3.1 Relevant data

• What data or information is most important for addressing this problem or decision?
• How will this data be collected and analyzed?

3.2 Irrelevant or misleading data

• What data or information is unnecessary or potentially misleading for addressing this problem or decision?
• How can this data be filtered out or discounted in order to focus on the most relevant information?