# Verint Quality Management alternatives: what AI models name instead, November 2026

Gane Index, November 2026 Edition. 234 of the 252 answers in the 1 category where Verint Quality Management holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://www.gane.ai/index/gtm/vendors/verint-quality-management/alternatives

## Named instead, most often (every category and segment added)

- Voxjar: 26
- EvaluAgent: 22
- Scorebuddy: 22
- MaestroQA: 14
- ScorebuddyCX: 14
- Zendesk QA: 13

## Contact center quality assurance

**Small business**: 83 of 84 answers did not name Verint Quality Management.

- Scorebuddy: first choice in 17 of those 83
- Voxjar: first choice in 16 of those 83
- EvaluAgent: first choice in 9 of those 83
- Zendesk QA: first choice in 9 of those 83
- Insightful: first choice in 8 of those 83
- ScorebuddyCX: first choice in 5 of those 83
- CloudTalk: first choice in 4 of those 83
- Klaus: first choice in 4 of those 83

**Mid-market**: 79 of 84 answers did not name Verint Quality Management (Verint Quality Management is #16 of 17 at 0%).

- Voxjar: first choice in 10 of those 79
- EvaluAgent: first choice in 8 of those 79
- MaestroQA: first choice in 8 of those 79
- Scorebuddy: first choice in 5 of those 79
- ScorebuddyCX: first choice in 5 of those 79
- Zendesk QA: first choice in 4 of those 79
- AmplifAI: first choice in 2 of those 79
- Insightful: first choice in 2 of those 79

**Enterprise**: 72 of 84 answers did not name Verint Quality Management (Verint Quality Management is #10 of 15 at 2%).

- MaestroQA: first choice in 6 of those 72
- EvaluAgent: first choice in 5 of those 72
- NICE CXone Quality Management: first choice in 5 of those 72
- ScorebuddyCX: first choice in 4 of those 72
- Genesys Cloud Quality Management: first choice in 3 of those 72
- Observe.AI: first choice in 3 of those 72
- Playvox: first choice in 3 of those 72
- NICE Quality Management: first choice in 2 of those 72

Published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.