| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| People analytics | Workforce planning and analytics | 0% | 101 of 114 | 44% | 34 | criticized challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Employee monitoring | Workforce planning and analytics | 0% | 51 of 75 | 0% | 1 | under 10 labels · led by ActivTrak at 33% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| 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 84 → 101 of 114 |
| Employee monitoring | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 51 of 75, unchanged |
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 | 2 | 0 | 2 |
| GPT-5.4 mini | 0 | 1 | 0 | 1 | 2 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 2 | 3 |
| Perplexity Sonar | 0 | 0 | 0 | 1 | 1 |
| Grok 4.1 Fast | 0 | 1 | 0 | 3 | 4 |
| Mistral Small | 0 | 0 | 1 | 2 | 3 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 1 | 3 |
| Llama 4 Maverick | 0 | 0 | 1 | 1 | 2 |
| Qwen 3.7 Flash | 0 | 1 | 1 | 1 | 3 |
| Kimi K2 | 0 | 0 | 1 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 1 | 2 |
| MiniMax M2.5 | 0 | 3 | 0 | 0 | 3 |
| GPT-6 Luna | 0 | 2 | 0 | 0 | 2 |
| Muse Glimmer 30B | 0 | 2 | 0 | 2 | 4 |
Verbatim evidence the judge attached to positive labels.
“It’s a natural first look for Workday customers; assess carefully if your main need is analytics across a broad, mixed tech stack.” GPT-6 Luna · People analytics · comparative prompt · alternative
“HRIS-embedded analytics (Workday, BambooHR, Rippling) \u2014 ... their built-in analytics may be sufficient” DeepSeek V4 Flash · People analytics · scale prompt · alternative
“Already on Workday and want embedded analytics? → Workday People Analytics / Prism” GPT-5.4 mini · People analytics · comparative prompt · alternative
“Global enterprises often shortlist Visier or Workday People Analytics.” Muse Glimmer 30B · People analytics · scale 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.
“listed as a criticized challenger alongside Visier ... "Limited outside the Workday ecosystem" and "Premium pricing"” Muse Glimmer 30B · People analytics · negative prompt · hard negative
“Notorious for complex setups and high costs, frequently cited as a poor first choice for small teams.” Mistral Small · People analytics · negative prompt · hard negative
“Workday is notorious for complex setups and high costs” Llama 4 Maverick · People analytics · negative prompt · hard negative
“Lock-in: Many of these platforms (like Workday) lock you into their ecosystem, making it difficult to export data if you leave.” DeepSeek V4 Flash · People analytics · negative 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 95 of the 100 answers that named Workday People Analytics and are not a share of its labels.
336 of the 336 domain citations in answers naming Workday People Analytics 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 Workday People Analytics's own pages state, read September 28, 2026: workday.com/fr-fr/topics/hr/hr-analytics.html, workday.com/de-de/topics/hr/hr-analytics.html, workday.com/en-gb/topics/hr/hr-analytics.html, workday.com/ja-jp/topics/hr/hr-analytics.html, workday.com/en-us/topics/hr/hr-analytics.html. 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 Workday People Analytics'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 Workday People Analytics, 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 Workday People Analytics by email, built from the raw record of the edition. It shows: