Level AI Contact Center Analytics vs Qvasa SLA Management

Level AI Contact Center Analytics brings calls, chats, and email data together with QA scores, customer feedback, and performance measures. It helps contact center teams examine agent and team performance, customer sentiment, call drivers, and operational trends. Tracked measures include QA Score, InstaScore, iCSAT, sentiment, customer effort, resolution status, NPS, CSAT, average handle time, and first contact resolution. Users can build filtered reports, compare agents or teams, track KPIs, and review historical trends. Dashboards cover QA performance, coaching, auditor performance, Voice of the Customer, and conversation insights. AI Workers answer natural-language questions about contact center data; scheduled reports and threshold-based alerts can also send updates or activate AI Workers. Dashboards export as PDFs, while role-based permissions separate individual, team, and organization-wide views. Integrations include Five9, Amazon Connect, Talkdesk, Genesys, Salesforce, Zendesk, Snowflake, and Microsoft Teams. The product is available on web and via API. Pricing is on request.

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