Fitness eval scoreboard

SLAtech Fitness: 83/100

Reproducible 200-question Fitness-specific eval harness. +15-point lift vs generic SLAtech-Business (68/100). Driven by class-booking conflict detection, membership-tier upsell discipline, and trainer-matching by experience-level. Pairs with umbrella eval scoreboard, Fitness glossary and Fitness FAQ.

Score breakdown by category

CategoryFitness-tunedGenericLift
Class-booking conflict detection

Member's existing class roster is checked before new booking — no double-booking the 6pm yoga vs spin slot. Generic chatbots happily over-book.

88 62 +26
Membership-tier upsell discipline

Bot quotes the member's current tier's privileges + upgrade-path price clearly, no aggressive cross-sell pressure. Generic chatbots over-pitch upgrades on every interaction.

86 66 +20
Trainer-matching by experience-level

Beginner / intermediate / advanced classification against trainer specialty + member history. Generic chatbots match by next-available-slot only.

84 71 +13
Injury / medical-flag handling

If member discloses recent injury, the bot routes to coach review before booking high-intensity class. Generic chatbots book regardless of injury context.

81 58 +23
Multilingual class info (HE / RU)

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

79 76 +3

Competitor comparison

SLAtech Fitness

83/100

Class-conflict-aware, RTL Hebrew polish, injury-flag routing native

Mindbody chat widget

75/100

Strong native scheduling but weaker injury-flag handling and English-first

Intercom Fin (generic)

70/100

No class-schema awareness, no injury-flag, English-first

Tidio Lyro (generic SMB)

60/100

No class 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 Fitness-specific questions with LLM-as-Judge scoring on factuality, hallucination and confidence axes.