SLAtech Sales
87/100MEDDIC-native, CRM-sync hygiene, objection library default-on
Reproducible 200-question Sales-specific eval harness. +15-point lift vs generic SLAtech-Business (72/100). Driven by MEDDIC/BANT qualification depth, CRM-sync hygiene, and objection-handling library. Pairs with umbrella eval scoreboard, Sales glossary and Sales FAQ.
| Category | Sales-tuned | Generic | Lift |
|---|---|---|---|
| MEDDIC / BANT qualification depth Metrics, Economic-buyer, Decision-criteria/process, Identify-pain, Champion — all 6 axes scored per lead. Generic chatbots collect name + email only. |
91 | 65 | +26 |
| CRM-sync hygiene Salesforce / HubSpot / Pipedrive native field mapping, dedup against existing contact records, lead-source attribution. Generic chatbots fire webhooks blindly. |
90 | 73 | +17 |
| Objection-handling library 200+ scripted responses tagged by objection type (price, timing, authority, need). Generic chatbots improvise — often agreeing with the prospect's objection. |
88 | 70 | +18 |
| Meeting-booking automation Calendly / Chili Piper integration with round-robin routing by territory + AE seniority. Generic chatbots send а raw scheduling link with no routing logic. |
85 | 79 | +6 |
| Pricing-disclosure discipline List-price quoting with discount-trigger escalation to human AE for enterprise tiers. Generic chatbots either over-disclose or under-quote. |
83 | 76 | +7 |
MEDDIC-native, CRM-sync hygiene, objection library default-on
Strong meeting-booking but weaker MEDDIC depth, US-locale defaults, no Hebrew RTL
Visitor-intent tracking strong, but enterprise CRM-sync requires implementation-consultant
No MEDDIC framework, no CRM-sync hygiene, conversation cap on lower tiers
The per-vertical eval score is one input. Three more self-serve tools complete the picture without a sales call:
Eval methodology is open-source. 200 sealed Sales-specific questions with LLM-as-Judge scoring on factuality, hallucination and confidence axes.