Deputy vs Connecteam
Six of fourteen models named Deputy first on the direct prompt; zero named Connecteam. Deputy was named by fourteen of the fourteen models and Connecteam by thirteen and both carry 40 labels, so the shares below are directly comparable.
Named in nine categories this edition.
Named in eighteen 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 workforce scheduling page.
By framing
DeputyFirst choices, of fourteen modelsConnecteam
Across every category in the November 2026 Edition, Deputy and Connecteam were named in the same answer 240 times, of the 401 answers naming Deputy and the 718 naming Connecteam. In those answers Connecteam took the first choice forty-seven times and Deputy forty-one.
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 4.20 | | | | | ||
| 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 | | | |
Deputy Connecteam first choice named as an alternative argued againstblank: not namedEach cell is one answer, Deputy on the left and Connecteam on the right.The direct prompt
Deputy first, Connecteam an alternative
6 of 14 modelsConnecteam was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 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
Connecteam26%#1 of 8Deputy6%#5 of 8Deputy29%#1 of 11Connecteam2%#5 of 11What the models said about Deputy
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Multiple reviewers report "zero customer service"... the platform has stagnated—features haven't kept up with competitors despite increasing prices.” DeepSeek V4 Flash · negative prompt · soft negative
“my default pick is Deputy for a mid-market company that wants scheduling without replacing its HR/payroll system” GPT-6 Luna · direct prompt · first choice
“Deputy (*Best Overall*) ... a market leader for mid-sized businesses needing robust workforce management” Gemini 3.5 Flash · paraphrase prompt · first choice
What the models said about Connecteam
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Do not use employee shift-management software for general calendar scheduling” Qwen 3.7 Flash · negative 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.