SLAtech Event
84/100Schedule-precision tuned, RTL Hebrew polish, wait-list management native
Event eval scoreboard
SLAtech Event: 84/100
Reproducible 200-question Event-specific eval harness. +15-point lift vs generic SLAtech-Business (69/100). Driven by ticket-tier disambiguation, schedule-query precision, and capacity / wait-list management. Pairs with umbrella eval scoreboard, Event glossary and Event FAQ.
Score breakdown by category
| Category | Event-tuned | Generic | Lift |
|---|---|---|---|
| Ticket-tier disambiguation VIP / general / early-bird / student / group tier-specific FAQ with refund-policy mapping. Generic chatbots quote one generic refund policy regardless of tier. |
89 | 64 | +25 |
| Schedule-query precision Track-aware session lookup (e.g. 'when is the Hebrew RTL talk on Day 2?') with speaker / room / time. Generic chatbots dump a wall-of-text agenda. |
88 | 70 | +18 |
| Capacity / wait-list management Session-capacity awareness — bot offers wait-list signup when room is full. Generic chatbots happily over-allocate seats. |
84 | 58 | +26 |
| Multilingual attendee Q&A (HE / RU) Hebrew RTL polish on session titles, Russian transliteration of speaker names, locale-aware time formatting. |
82 | 75 | +7 |
| Sponsor / exhibitor lookup Booth-number lookup with category filtering. Generic chatbots match this when given clean structured data. |
79 | 78 | +1 |
Competitor comparison
Eventbrite chat widget
76/100Native ticket-tier awareness but weaker multilingual depth and no wait-list management
Intercom Fin (generic)
72/100No event-schema awareness, English-first, no wait-list flow
Tidio Lyro (generic SMB)
61/100No event schema, no Hebrew RTL, conversation cap on lower tiers
Continue the buyer evaluation
The per-vertical eval score is one input. Three more self-serve tools complete the picture without a sales call:
Reproduce the eval against your own tenant
Eval methodology is open-source. 200 sealed Event-specific questions with LLM-as-Judge scoring on factuality, hallucination and confidence axes.