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Frontline employee apps · November 2026 Edition

Deputy vs MangoApps

Zero of fourteen models named Deputy first on the direct prompt; zero named MangoApps. Deputy was named by nine of the fourteen models and MangoApps by seven and Deputy carries 14 labels and MangoApps 15, so the shares are not directly comparable.

Deputy

accepted challenger

Named in nine categories this edition.

MangoApps

accepted challenger

Named in three categories this edition.

First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 13; printed, not drawn.
Labels1415A 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.Connecteam was named alongside these two in thirteen of the fourteen direct answers. Connecteam vs Deputy · Connecteam vs MangoApps · Beekeeper vs Deputy

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 frontline employee apps 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 modelsMangoApps
Direct001 against MangoApps
Paraphrase10
Comparative00
Budget-constrained00
Scale-constrained01
Negative001 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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Deputy and MangoApps 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 MangoApps first choice named as an alternative argued againstblank: not namedEach cell is one answer, Deputy on the left and MangoApps on the right.

The direct prompt

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

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.
Qwen 3.7 FlashConnecteam alternatives: Blink, MangoApps, Microsoft 365 for Frontline Workers
Muse Glimmer 30BBeekeeper, Blink, LumApps alternatives: Connecteam, MangoApps, Staffbase

Neither was named

12 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Connecteam alternatives: Blink, Speakap, Workvivo
GPT-5.4 miniWorkvivo alternatives: Blink, Staffbase, WorkJam
Gemini 3.5 FlashBeekeeper, Connecteam alternatives: Blink, Microsoft 365 for Frontline Workers, Yourco, Zello
Perplexity SonarConnecteam alternatives: Beekeeper, Blink, Microsoft 365 for Frontline Workers, Staffbase
Grok 4.20Connecteam alternatives: Beekeeper, Blink, Staffbase, WorkJam
Mistral SmallBeekeeper, Connecteam alternatives: Blink, Staffbase
DeepSeek V4 FlashConnecteam alternatives: Beekeeper, Blink
Llama 4 MaverickBeekeeper alternatives: Connecteam, Staffbase
Kimi K2Connecteam alternatives: Blink
GLM 4.7 FlashXBeekeeper alternatives: Blink, Connecteam, Staffbase
MiniMax M2.5Blink alternatives: Beekeeper, Connecteam, Staffbase
GPT-6 LunaBlink alternatives: Connecteam, Staffbase

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
MangoApps is not named for this buyer.
Deputy0%#8 of 11
MangoApps—not named
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Deputy2%#5 of 13
MangoApps2%#6 of 13
The full mid-market standing →
Enterprise
MangoApps leads by ten points.
MangoApps10%#3 of 13
Deputy0%#– of 13
The full enterprise standing →

What the models said about Deputy

No label in this category carried a quote.

What the models said about MangoApps

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

“less frontline-focused but good for hybrid B2B” Grok 4.20 · direct prompt · soft negative
“Blink / MangoApps: Strong all-in-one platforms (HR + Comms + Scheduling). Good for replacing multiple silos.” Qwen 3.7 Flash · scale prompt · first choice
“Enterprise-grade frontline communication with full workflow depth across comms, operations, HR and learning on one platform.” Muse Glimmer 30B · comparative prompt · alternative
“Strong on backend integrations and avoiding "bolted-on" features; frequently shortlisted alongside WorkJam and Staffbase.” Grok 4.20 · comparative prompt · alternative
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.