Culture Amp vs 15Five Engage
Eleven of fourteen models named Culture Amp first on the direct prompt; zero named 15Five Engage. Culture Amp was named by fourteen of the fourteen models and 15Five Engage by thirteen and Culture Amp carries 42 labels and 15Five Engage 28, so the shares are not directly comparable.
Named in thirteen categories this edition.
Named in one category 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
Culture AmpFirst choices, of fourteen models15Five Engage
Across every category in the October 2026 Edition, Culture Amp and 15Five Engage were named in the same answer fifty-eight times, of the 385 answers naming Culture Amp and the 82 naming 15Five Engage. In those answers 15Five Engage took the first choice six times and Culture Amp nineteen.
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 | | | | |
Culture Amp 15Five Engage first choice named as an alternative argued againstblank: not namedEach cell is one answer, Culture Amp on the left and 15Five Engage on the right.The direct prompt
Culture Amp first, 15Five Engage an alternative
11 of 14 models15Five Engage was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 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
15Five Engage14%#3 of 9Culture Amp0%#9 of 9Culture Amp37%#1 of 815Five Engage5%#5 of 8Culture Amp29%#1 of 915Five Engage0%#9 of 9What the models said about Culture Amp
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“Avoid platforms like Culture Amp, Leapsome, or Qualtrics—they're excellent but priced for enterprise” DeepSeek V4 Flash · budget prompt · hard negative
“Avoid "Enterprise Trap" Tools Platforms like Culture Amp ... high minimum annual contracts” Qwen 3.7 Flash · budget prompt · hard negative
“avoid platforms with $4,000+ annual minimums like Lattice/Culture Amp” GLM 4.7 FlashX · budget prompt · hard negative
“the most-cited dedicated employee experience platform for this segment... Want best-in-class survey science + benchmarks and analytics: Culture Amp.” Muse Glimmer 30B · direct prompt · first choice
“The gold standard for people science and analytics. Highly robust, excellent benchmarking, but can be on the pricier/more complex side.” Gemini 3.5 Flash · scale prompt · first choice
“Culture Amp and Officevibe are top choices due to their strong analytics, ease of use, and focus on actionable insights” Mistral Small · direct prompt · first choice
What the models said about 15Five Engage
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“I'd recommend starting with Leapsome or 15Five” MiniMax M2.5 · paraphrase prompt · first choice
“Best low-cost dedicated option: 15Five Engage.” GPT-6 Luna · budget prompt · first choice
“Start with Culture Amp or 15Five:” Kimi K2 · paraphrase prompt · first choice
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.