```json { "action": "tool_call", "reasoning": "The evidence shows this dataset has a mixed structure with 150 individual call records, 30 date values, 7 daily summaries, and various metadata rows. I need to understand the actual segmentation dimensions by examining the call-level data. The columns 'AI Handled', 'Human Handled', and 'Voicemail' appear to be the outcome field in call records (step-7 shows values like 'AI Resolved', 'Transferred', 'Voicemail'). Let me query the distinct values in the outcome column and the intent column to identify natural groupings.", "tool": "query_sql", "args": { "sql": "SELECT \"Human Handled\" AS outcome, COUNT(*) AS call_count FROM raw.callyeah_analytics_2026_07_23 WHERE \"Day\" LIKE 'CY-%' GROUP BY \"Human Handled\" ORDER BY call_count DESC", "purpose": "Get the distribution of call outcomes from individual call records to identify natural outcome-based segments" } } ```