Culture Amp vs Lattice
Eleven of fourteen models named Culture Amp first on the direct prompt; four named Lattice. Culture Amp was named by fourteen of the fourteen models and Lattice by twelve and Culture Amp carries 42 labels and Lattice 31, so the shares are not directly comparable.
Named in thirteen categories this edition.
Named in nineteen 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
Culture AmpFirst choices, of fourteen modelsLattice
Across every category in the October 2026 Edition, Culture Amp and Lattice were named in the same answer 268 times, of the 385 answers naming Culture Amp and the 712 naming Lattice. In those answers Lattice took the first choice forty-six times and Culture Amp thirty-nine.
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 Lattice first choice named as an alternative argued againstblank: not namedEach cell is one answer, Culture Amp on the left and Lattice on the right.The direct prompt
Both were the first choice
2 of 14 modelsThe answer named them together, and the judge labeled each a first choice.Culture Amp first, Lattice an alternative
9 of 14 modelsLattice was named in the answer but not as the choice, or not at all.Lattice first, Culture Amp an alternative
2 of 14 modelsCulture Amp was named in the answer but not as the choice, or not at all.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
Culture Amp0%#9 of 9Lattice0%#8 of 9Culture Amp37%#1 of 8Lattice10%#4 of 8Culture Amp29%#1 of 9Lattice4%#5 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 Lattice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“avoid platforms with $4,000+ annual minimums like Lattice/Culture Amp” GLM 4.7 FlashX · budget prompt · hard negative
“Avoid "Enterprise Trap" Tools Platforms like Culture Amp, Lattice” Qwen 3.7 Flash · budget prompt · hard negative
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.