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Workforce management suites · November 2026 Edition

Deputy vs When I Work

Two of fourteen models named Deputy first on the direct prompt; zero named When I Work. Deputy was named by thirteen of the fourteen models and When I Work by twelve and Deputy carries 43 labels and When I Work 37, so the shares are not directly comparable.

Deputy

accepted challenger

Named in nine categories this edition.

When I Work

accepted challenger

Named in eight categories this edition.

First-choice share16%9%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate14%3%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 15; printed, not drawn.
Labels4337A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Deputy reading right to left. Rank and label count are printed, not drawn.Rippling was named alongside these two in twelve of the fourteen direct answers. Homebase vs Deputy · Homebase vs When I Work · Deputy vs Rippling

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 management suites page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
DeputyFirst choices, of fourteen modelsWhen I Work
Direct20
Paraphrase60
Comparative002 against Deputy · 1 against When I Work
Budget-constrained042 against Deputy
Scale-constrained11
Negative002 against Deputy
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, Deputy and When I Work were named in the same answer 225 times, of the 401 answers naming Deputy and the 302 naming When I Work. In those answers When I Work took the first choice thirty-one times and Deputy thirty-three.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Deputy and When I Work stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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 When I Work first choice named as an alternative argued againstblank: not namedEach cell is one answer, Deputy on the left and When I Work on the right.

The direct prompt

The plain question, one answer per model, grouped by where Deputy and When I Work stood in it.

Deputy first, When I Work an alternative

2 of 14 modelsWhen I Work was named in the answer but not as the choice, or not at all.
Mistral SmallDeputy, HiBob alternatives: Dayforce, Oracle Fusion Cloud HCM, SAP SuccessFactors WFM
Muse Glimmer 30BDayforce, Deputy, UKG Pro Workforce Management alternatives: HiBob, Paycom, Rippling, SAP SuccessFactors WFM, When I Work, Workday Workforce Management

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashRippling alternatives: ADP Workforce Now, Deputy, Paycor, Paylocity, UKG Ready
Perplexity SonarHiBob alternatives: ADP Workforce Now, Dayforce, Deputy, Rippling, UKG Pro Workforce Management
Grok 4.20UKG Pro Workforce Management alternatives: Rippling, When I Work
Llama 4 MaverickHiBob alternatives: Clockify, Dayforce, Deputy, HiveDesk, Hubstaff, NICE CXone, Oracle Fusion Cloud HCM, SAP SuccessFactors WFM, When I Work, Zoho People
GLM 4.7 FlashXDayforce, Rippling alternatives: Deputy, UKG Pro Workforce Management, When I Work, Workday Workforce Management

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5ADP Workforce Now alternatives: Paylocity, Rippling, UKG Ready
GPT-5.4 miniRippling alternatives: ADP Workforce Now, Connecteam, Paylocity, UKG Ready
DeepSeek V4 FlashHiBob, Rippling alternatives: Dayforce, Paylocity, UKG Ready
Qwen 3.7 FlashRippling alternatives: ConnectWise Manage, Deel, Monday.com, UKG Ready
Kimi K2Rippling, UKG Pro Workforce Management alternatives: ADP Workforce Now, Dayforce, Paycom, Workday Workforce Management
MiniMax M2.5Rippling alternatives: BambooHR, Dayforce, UKG Pro Workforce Management
GPT-6 LunaUKG Ready alternatives: ADP Workforce Now, Dayforce, Rippling

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Deputy leads by four points.
Deputy17%#2 of 12
When I Work12%#4 of 12
The full small business standing →
Mid-marketThe figures above
Deputy leads by seven points.
Deputy16%#2 of 15
When I Work9%#4 of 15
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Deputy0%#– of 9
When I Work0%#– of 9
The full enterprise standing →

What the models said about Deputy

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.

“smaller or specialized tools (e.g., Deputy, When I Work, Homebase) are better for SMBs or hourly/shift work but not full "suites."” Grok 4.20 · comparative prompt · soft negative

What the models said about When I Work

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.

“For a company on a tight budget, When I Work (from $2.50/user/month) or Homebase ... are your best bets.” GLM 4.7 FlashX · budget prompt · first choice
Also compared

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.