| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Employee engagement surveys | Onboarding and employee experience | 2% | 15 of 58 | 36% | 11 | criticized challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| 360 feedback | Performance and talent management | 0% | 59 of 73 | 50% | 4 | under 10 labels · led by Lattice at 34% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| People analytics | Workforce planning and analytics | 0% | 37 of 114 | 0% | 3 | under 10 labels · led by Crunchr at 22% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Employee engagement surv | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 45 → 15 of 58 |
| 360 feedback | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 71 → 59 of 73 |
| People analytics | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 70 → 37 of 114 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 3 | 0 | 0 | 3 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 2 | 3 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.1 Fast | 0 | 0 | 1 | 1 | 2 |
| Mistral Small | 0 | 0 | 0 | 1 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 2 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 1 | 1 | 0 | 0 | 2 |
| MiniMax M2.5 | 0 | 2 | 0 | 0 | 2 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“platforms like Culture Amp, Lattice, and Qualtrics often provide the best balance of features and support” GLM 4.7 FlashX · Employee engagement surv · 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 · Employee engagement surv · direct prompt · alternative
“if you need enterprise-grade analytics ... and you're okay with more complexity” GPT-5.4 mini · Employee engagement surv · paraphrase prompt · alternative
“Qualtrics (Enterprise-grade but scalable) - Industry leader with robust analytics” MiniMax M2.5 · Employee engagement surv · paraphrase prompt · alternative
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Avoid platforms like Culture Amp, Leapsome, or Qualtrics” DeepSeek V4 Flash · Employee engagement surv · budget prompt · hard negative
“enterprise tools like this are often flagged for complexity and cost for small/medium teams” DeepSeek V4 Flash · 360 feedback · negative prompt · soft negative
“you cannot afford to spend months on enterprise implementation (like Qualtrics)” Gemini 3.5 Flash · Employee engagement surv · direct prompt · soft negative
“Rather than paying for enterprise-level suites like Culture Amp or Qualtrics” Gemini 3.5 Flash · Employee engagement surv · budget prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 90 of the 94 answers that named Qualtrics EmployeeXM and are not a share of its labels.
285 of the 285 domain citations in answers naming Qualtrics EmployeeXM came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What Qualtrics EmployeeXM's own pages state, read September 28, 2026: learn.qualtrics.com/exm-exit-survey-solution, learn.qualtrics.com/employeexm-expert-capstone, learn.qualtrics.com/employeexm-expert-capstone-fr, learn.qualtrics.com/employeexm-expert-capstone-es, learn.qualtrics.com/employeexm-expert-capstone-de. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Qualtrics EmployeeXM's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Qualtrics EmployeeXM, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Qualtrics EmployeeXM by email, built from the raw record of the edition. It shows: