Click any chart segment, badge, pill, or table row to filter. Real SGA practice TTM production joined with synthetic ticket sentiment for pipeline proof.
Each bubble is a practice. Bubbles above the trendline generate more tickets than their production predicts (IT friction tax). Below the line = either healthy or silently suffering (low volume from giving up asking).
| Practice | TTM $ | Tickets | T/$100K | Neg | Avg | % neg |
|---|
| Category | Tickets | Neg | % neg |
|---|
| Ticket | Practice | Category | Pri | Score | Emotions | Esc | Cause | State | Conf | Model |
|---|
Score -1 to +1 (sentiment); Conf model self-reported (0-1). Emotions multi-label. Esc model-judged escalation risk with reason (hover the row).
Routing: short/low-priority → Haiku 4.5; long/urgent/keyword-flagged → Sonnet 4.6.
Data: 50 English rows from Tobi-Bueck/customer-support-tickets, reshaped into Zoho schema with synthetic SGA practice metadata. For dental-shaped signal, feed a real Zoho Desk export.