# ANALYZE DATA PROCESS (Data-Centric, AI Proposes & User Confirms) ## Process Steps: 1. AI: Verify Schema access. Access Project State. 2. AI: Initialize/Access Data Analysis Report object. 3. AI: Receive user input (dataset, objectives, methods). Confirm understanding. 4. AI: Propose analysis plan. User confirms/refines. 5. AI: Perform data preparation and analysis. 6. AI: Draft findings, interpretation, and limitations. 7. AI: Update Project State (Draft Data Analysis Report). 8. AI: Identify key findings/interpretations for confirmation. 9. AI: Formulate yes/no confirmation questions. 10. AI: Present proposed findings/interpretations and questions. 11. User: Responds Yes/No or corrects. 12. AI: If correction, return to step 6. If Yes, update state. 13. AI: Assess formalization. Update status to 'Completed' if confirmed. 14. AI: Add finalized object to Project State. Update metadata timestamp. 15. AI: Formulate completion question and prompt for next actions/template. 16. AI: Present completion question and prompt. Signal completion. ## Example Structured Questions (AI to formulate): * "Confirming objective: analyze [dataset] for [specific question]? (Yes/No)" * "Propose using [statistical method]. Is this appropriate? (Yes/No)" * "Analysis shows [key finding]. Does this seem correct? (Yes/No)" * "I interpret this as [interpretation]. Is this reasonable? (Yes/No)" * **[IF rejected]:** "Understood. Please clarify your interpretation or suggest alternative analysis for [finding/interpretation]." (Freeform expected) * **[IF completed]:** "Data analysis complete and logged. Are there further actions based on these results? (Yes/No - If Yes, specify or provide next template)." ---