Zero of fourteen models named Culture Amp first on the direct prompt; zero named FeedbackPulse. Culture Amp was named by thirteen of the fourteen models and FeedbackPulse by eight and Culture Amp carries 47 labels and FeedbackPulse 12, so the shares are not directly comparable.
Named in thirteen categories this edition.
Named in two 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 360 feedback page.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Avoid enterprise-heavy like Culture Amp (custom pricing, better for 500+)” Grok 4.1 Fast · paraphrase prompt · hard negative
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Start with Effy AI (free up to 5 users) or FeedbackPulse (free up to 10 users) to test the process with no upfront cost.” GLM 4.7 FlashX · budget prompt · first choice
“the best 360-degree feedback tool is usually FeedbackPulse if you need a truly low-cost option for a small team” Perplexity Sonar · budget 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.