Medallia Quality Management
LeaderStill running CX on surveys alone? That’s not listening
Est 2001|Valuation $5.5B|Raised $737.6M
Still running CX on surveys alone? That’s not listening
Published May 16, 2026
| Starting Price | Pricing available on request from the vendor | Pricing available on request from the vendor | Published entry-level pricing; enterprise pricing available on request from the vendor |
| Recommended for | Enterprises prioritizing QM integrated with VoC and coaching workflows | Contact centers seeking integrated CCaaS plus WFO/QM modules | Organizations standardizing enterprise experience management across CX and EX |
| Key Strength | Integration of coaching and QA workflows with VoC signals; available analytics integrations | Broad CCaaS and WFO breadth with a native contact-center ecosystem | Broad XM capabilities across surveys, research, and experience programs |
| Key Weakness | Pricing opacity; successful outcomes depend on governance and change management; mixed review sentiment on some public platforms | Complexity and add-on pricing; potential cost at scale | Support and pricing friction reported in some community discussions; may require additional configuration for classic QM use cases |
Medallia vs NICE CXone (QM/WFO): NICE CXone is often considered when an organization requires an integrated contact-center platform together with WFO modules. Medallia’s differentiation centers on closer alignment with broader Experience Management (VoC) and analytics connected to coaching and QA.
Medallia vs Qualtrics: Qualtrics provides a broad experience management platform; organizations that need enterprise XM across multiple functions sometimes favor Qualtrics. Medallia tends to be preferred when contact-center QM and integrated speech/text analytics are core requirements. Medallia has integrated speech-to-text capabilities through acquisitions in prior years.
Newer AI-QA competitors: Several smaller or newer vendors position alternatives that emphasize different coverage or pricing models. Organizations should validate claims about interaction coverage, model accuracy, explainability, and governance support.