Microsoft Viva Glint vs Qualtrics EmployeeXM
Zero of fourteen models named Microsoft Viva Glint first on the direct prompt; zero named Qualtrics EmployeeXM. Microsoft Viva Glint was named by eight of the fourteen models and Qualtrics EmployeeXM by seven and Microsoft Viva Glint carries 10 labels and Qualtrics EmployeeXM 11, so the shares are not directly comparable.
Named in two categories this edition.
Named in three categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the employee engagement surveys page.
By framing
Microsoft Viva GlintFirst choices, of fourteen modelsQualtrics EmployeeXM
Across every category in the October 2026 Edition, Microsoft Viva Glint and Qualtrics EmployeeXM were named in the same answer thirty times, of the 52 answers naming Microsoft Viva Glint and the 94 naming Qualtrics EmployeeXM. In those answers Qualtrics EmployeeXM took the first choice five times and Microsoft Viva Glint four.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | |||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| Mistral Small | | |||||
| DeepSeek V4 Flash | | | ||||
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | | |||||
| GLM 4.7 FlashX | | |||||
| MiniMax M2.5 | | | ||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | |
Microsoft Viva Glint Qualtrics EmployeeXM first choice named as an alternative argued againstblank: not namedEach cell is one answer, Microsoft Viva Glint on the left and Qualtrics EmployeeXM on the right.The direct prompt
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
10 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Microsoft Viva Glint0%#– of 9Qualtrics EmployeeXM0%#– of 9Microsoft Viva Glint2%#7 of 8Qualtrics EmployeeXM2%#8 of 8Qualtrics EmployeeXM20%#2 of 9Microsoft Viva Glint4%#4 of 9What the models said about Microsoft Viva Glint
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Culture Amp and Glint are the most popular for mid-market companies like yours” Mistral Small · scale prompt · first choice
“The ideal enterprise choice for organizations heavily embedded in the Microsoft 365 ecosystem.” Gemini 3.5 Flash · comparative prompt · alternative
“If you're heavily invested in Microsoft 365 \u2192 consider Microsoft Viva Glint.” DeepSeek V4 Flash · direct prompt · alternative
What the models said about Qualtrics EmployeeXM
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Avoid platforms like Culture Amp, Leapsome, or Qualtrics” DeepSeek V4 Flash · budget prompt · hard negative
“you cannot afford to spend months on enterprise implementation (like Qualtrics)” Gemini 3.5 Flash · direct prompt · soft negative
“Rather than paying for enterprise-level suites like Culture Amp or Qualtrics” Gemini 3.5 Flash · budget prompt · soft negative
“platforms like Culture Amp, Lattice, and Qualtrics often provide the best balance of features and support” GLM 4.7 FlashX · scale prompt · first choice
“if you need deeper survey logic, more advanced research-style analytics, or you're closer to enterprise complexity” GPT-5.4 mini · direct prompt · alternative
“if you need enterprise-grade analytics ... and you're okay with more complexity” GPT-5.4 mini · paraphrase prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.