Core Performing Vendor in Automated QA/QM and Customer Analytics
CMP Research has named MiaRec a Core Performing vendor in both its October 2026 Prism for Automated QA/QM and its Prism for Customer Analytics & Insights, following the same placement in spring 2026. Download both report summaries to see how the market compares.
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WHAT EARNED THE PLACEMENT
Two categories. One platform that analyses every conversation.
CMP Research Prism™ is the only marketplace assessment built exclusively for customer contact and CX executives — evaluating vendors based on analyst expertise, user feedback, market perception and 10+ investment criteria, including AI accuracy, innovation, and integration.
Customer Analytics and Insights
19 providers evaluated
Key Capabilities Recognized
→ Analyzes 100% of conversations across all channels
→ AI-generated CSAT, NPS & Net Emotional Score
→ Sentiment, call reasons and outcomes
→ Survey-free, scalable approach to CX intelligence
Automated QA/QM
18 providers evaluated
Key Capabilities Recognized
→ AI scoring on 100% of conversations
→ AI-assisted coaching feedback
→ Review and dispute QA workflow
→ Every score is tied back to the transcript
HOW THE PRISM WORKS
Benchmarks instead of vendor claims.
Each provider is placed on two axes. The horizontal measures how progressive its capabilities are, combining analyst evaluations with feedback from companies using the tool. Capability is scored by CMP analysts and current users on the same ten criteria: pricing, customization & flexibility, integration, security, user experience, reporting, customer support, innovation and strategy, AI quality, implementation. The vertical measures market confidence, from a survey of 300 executives who own CX or customer contact technology decisions.
QA/QM Providers
Customer Analytics Providers
Executives surveyed
“CMP Prism was created to evaluate solution providers like MiaRec to take the guesswork out of tech decisions, replacing vendor spin with objective, research-backed benchmarks.”
Nicole Kyle
Managing Director of CMP Research