Event eval scoreboard

SLAtech AI Event: 90/100

Reproducible 200-question Event-specific eval harness. +21-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

CategoryEvent-tunedGenericLift
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.

 95 64 +31
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.

 94 70 +24
Capacity / wait-list management

Session-capacity awareness - the assistant offers wait-list signup when room is full. Generic chatbots happily over-allocate seats.

 90 58 +32
Multilingual attendee Q&A (HE / RU)

Hebrew RTL polish on session titles, Russian transliteration of speaker names, locale-aware time formatting.

 87 75 +12
Sponsor / exhibitor lookup

Booth-number lookup with category filtering. Generic chatbots match this when given clean structured data.

 84 78 +6

Competitor comparison

SLAtech AI Event

90/100

Schedule-precision tuned, RTL Hebrew polish, wait-list management native

Eventbrite chat widget

76/100

Native ticket-tier awareness but weaker multilingual depth and no wait-list management

Intercom Fin (generic)

65/100

No event-schema awareness, English-first, no wait-list flow

Tidio Lyro (generic SMB)

57/100

No 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:

Umbrella eval scoreboard All 9 verticals side-by-side TCO calculator Annual savings + payback math Vendor compare-tool Filter 16 vendors on 6 axes Vendor checklist 30 procurement due-diligence questions

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.

Full eval methodology SLAtech AI Event pricing