# Qualtrics EmployeeXM alternatives: what AI models name instead, October 2026

HR AI Recommendation Index, October 2026 Edition. 217 of the 252 answers in the 1 category where Qualtrics EmployeeXM holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://hr-ai-index.com/vendors/qualtrics-employeexm/alternatives/

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

- Workleap Officevibe: 38
- Culture Amp: 22
- FeedbackPulse: 15
- 15Five Engage: 11
- Lattice: 8
- Workday Peakon Employee Voice: 8

## Employee engagement surveys

**Small business**: 84 of 84 answers did not name Qualtrics EmployeeXM.

- Workleap Officevibe: first choice in 29 of those 84
- FeedbackPulse: first choice in 12 of those 84
- 15Five Engage: first choice in 9 of those 84
- Google Forms: first choice in 2 of those 84
- Klenty: first choice in 2 of those 84
- Reply: first choice in 2 of those 84
- SurveyMonkey: first choice in 2 of those 84
- SurveySparrow: first choice in 2 of those 84

**Mid-market**: 79 of 84 answers did not name Qualtrics EmployeeXM (Qualtrics EmployeeXM is #8 of 8 at 2%).

- Culture Amp: first choice in 19 of those 79
- Workleap Officevibe: first choice in 9 of those 79
- Lattice: first choice in 6 of those 79
- Leapsome: first choice in 6 of those 79
- FeedbackPulse: first choice in 3 of those 79
- 15Five Engage: first choice in 2 of those 79
- Google Forms: first choice in 2 of those 79
- BambooHR: first choice in 1 of those 79

**Enterprise**: 54 of 84 answers did not name Qualtrics EmployeeXM (Qualtrics EmployeeXM is #2 of 9 at 20%).

- Workday Peakon Employee Voice: first choice in 8 of those 54
- Culture Amp: first choice in 3 of those 54
- Betterworks: first choice in 2 of those 54
- Braze: first choice in 2 of those 54
- Lattice: first choice in 2 of those 54
- Microsoft Viva Glint: first choice in 2 of those 54
- Qualtrics XM: first choice in 2 of those 54
- Matter: first choice in 1 of those 54

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