Frontline employee apps
Asked as “frontline employee communication app”, and as “deskless workforce app”, on behalf of a mid-market B2B company. 51 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
49%
Clear leader
49Connecteam20Blink04Beekeeper27others
49% of first choices, clear leader.
Since September 2026▼−8Since September 2026: 56% → 48%, −8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Connecteam held the lead, −8 points on 56%, inside the 13-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
Connecteam79%Clear leader▼−7Since September 2026: 85% → 78%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketConnecteam49%Clear leader▼−8Since September 2026: 56% → 48%, −8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageEnterprise
Staffbase35%Contested▲+4Since September 2026: 32% → 36%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →
Connecteam79%Clear leader▼−7Since September 2026: 85% → 78%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketConnecteam49%Clear leader▼−8Since September 2026: 56% → 48%, −8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageEnterpriseStaffbase35%Contested▲+4Since September 2026: 32% → 36%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →The standing
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. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Connecteam49%0%58endorsed leader▼−8Since September 2026: 56% → 48%, −8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.56% → 48%
Connecteam49%0%58endorsed leader▼−8Since September 2026: 56% → 48%, −8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.56% → 48%02
Blink20%2%49accepted challenger▲+7Since September 2026: 14% → 20%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.14% → 20%
Blink20%2%49accepted challenger▲+7Since September 2026: 14% → 20%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.14% → 20%03
Beekeeper4%0%26accepted challenger▼−7Since September 2026: 9% → 2%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 2%
Beekeeper4%0%26accepted challenger▼−7Since September 2026: 9% → 2%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 2%04Staffbase4%19%32accepted challenger▲+2Since September 2026: 2% → 5%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 5%
Staffbase4%19%32accepted challenger▲+2Since September 2026: 2% → 5%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 5%05
MangoApps2%0%21accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
MangoApps2%0%21accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%06
Microsoft 365 for Frontline Workers2%50%24criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Microsoft 365 for Frontline Workers2%50%24criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%Show the six products at 0%, ordered by negative rate
12
WhatsApp Lab in the set0%83%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
WhatsApp Lab in the set0%83%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%11
Slack0%67%18criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%
Slack0%67%18criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%09
Workvivo0%24%17accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%
Workvivo0%24%17accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%10
Firstup0%17%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Firstup0%17%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%07
WorkJam0%6%17accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
WorkJam0%6%17accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%08
Flip0%0%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Flip0%0%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
WhatsApp is made by Meta, whose model Llama 4 Maverick and Muse Glimmer 30B is in the set. On the four share prompts that model made it the first choice zero times of 8; the other twelve models zero times of 48. Lab treatment is defined on the method page; the row is marked, not excluded.
All fifteen head-to-head pages: the top six products, each against each
Connecteam vs MangoAppsConnecteam vs Microsoft 365 for Frontline WorkersBlink vs BeekeeperBlink vs StaffbaseBlink vs MangoAppsBlink vs Microsoft 365 for Frontline WorkersBeekeeper vs StaffbaseBeekeeper vs MangoAppsBeekeeper vs Microsoft 365 for Frontline WorkersStaffbase vs MangoAppsStaffbase vs Microsoft 365 for Frontline WorkersMangoApps vs Microsoft 365 for Frontline Workers
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
010203040506070809101112Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Connecteam49%
Connecteam49%02Blink20%
Blink20%03Beekeeper4%
Beekeeper4%04Staffbase4%
Staffbase4%05MangoApps2%
MangoApps2%06Microsoft 365 for Frontline Workers2%
Microsoft 365 for Frontline Workers2%07WorkJam0%
WorkJam0%08Flip0%
Flip0%09Workvivo0%
Workvivo0%10Firstup0%
Firstup0%11Slack0%
Slack0%12WhatsApp0%
WhatsApp0%What they warned about
Four of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Kimi K2, MiniMax M2.5 and GPT-6 Luna changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
WhatsApp83%
10 of 12 labels negative · 10 of 14 models · 10 hard negative
“main apps to avoid or be cautious about** for frontline work are **consumer messaging apps** like **WhatsApp” Perplexity Sonar, negative prompt
Telegram100%
9 of 9 labels negative · 9 of 14 models · 9 hard negative
“**Apps to Avoid/Cautious Of:** WhatsApp, iMessage, Facebook Messenger, SMS (Standard Texting), Telegram.” Qwen 3.7 Flash, negative prompt
Microsoft 365 for Frontline Workers50%
12 of 24 labels negative · 9 of 14 models · 6 hard negative
“Microsoft Teams due to low adoption among deskless workers and being expensive for what you get” Llama 4 Maverick, negative prompt
Facebook Messenger100%
8 of 8 labels negative · 8 of 14 models · 8 hard negative
“**Apps to Avoid/Cautious Of:** WhatsApp, iMessage, Facebook Messenger, SMS (Standard Texting), Telegram.” Qwen 3.7 Flash, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
78 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 990 links across 192 sites, every framing counted. Ranked by the number of answers carrying the site or page. 67 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
42 answers · 62 citations · 14 models
vendor site · MangoApps41 answers · 71 citations · 11 models
vendor site · Guideflow36 answers · 44 citations · 10 models
29 answers · 56 citations · 10 models
vendor site · Oak27 answers · 28 citations · 12 models
vendor site · Staffbase24 answers · 32 citations · 12 models
vendor site · G221 answers · 30 citations · 9 models
20 answers · 22 citations · 12 models
vendor site · AgilityPortal18 answers · 19 citations · 9 models
vendor site · FirstHR18 answers · 18 citations · 10 models
vendor site · Sociabble18 answers · 18 citations · 10 models
18 answers · 18 citations · 9 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
25 answers · 12 models
22 answers · 10 models
22 answers · 9 models
21 answers · 11 models
21 answers · 11 models
19 answers · 11 models
17 answers · 8 models
17 answers · 10 models
16 answers · 8 models
15 answers · 10 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best frontline employee communication app”, “frontline apps”, “frontline employee communication app”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Connecteam connecteam.com | 49% | 573 | 49,500 | 288 | 312,449 | $13,504 | 120 | 2 |
| Blink joinblink.com | 20% | 164 | 201,000 | 96,479 | 17,400 | 4 | 8 | |
| LumApps lumapps.com Beekeeper 4%, LumApps 0% | 4% | 85 | 74,000 | 10,293 | 26,580 | $158 | 44 | |
| Staffbase staffbase.com | 4% | 197 | 1,900 | 46 | 36,256 | 44 | ||
| Deputy deputy.com | 4% | 256 | 40,500 | 17,000 | 45,127 | $3,222 | 32 | |
| RedeApp redeapp.com | 4% | 11 | 720 | 4 | 1,489 | 0 | ||
| MangoApps mangoapps.com | 2% | 97 | 720 | 3 | 8,205 | $241 | 22 | |
| Skedulo skedulo.com | 2% | 12 | 880 | 15 | 2,160 | 0 | ||
| Sling getsling.com | 2% | 82 | 368,000 | 51,638 | 363,426 | |||
| Pebb pebb.io | 2% | 16 | 5,400 | 293 | 7,720 | 0 |
Google's top ten for the three searches hold 22 sites; 3 of them are among the sites the models cited here (firsthr.app, joinblink.com, peoplemanagingpeople.com). The first result for “best frontline employee communication app” is peoplemanagingpeople.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best frontline employee communication app for a mid-market B2B company?”Paraphrase“Which deskless workforce app would you recommend to a mid-sized B2B company?”Comparative“What are the top frontline apps and how do they differ?”Budget-constrained“What is the best frontline employee communication app for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a frontline employee communication app. What should we look at?”Negative“Which frontline apps should I avoid or be cautious about?”
Claude Haiku 4.5Blinkno first choiceChangedno first choiceagainst: WorkJamRedeAppno first choicenothing named
Three alternatives
Connecteam, MangoApps, WorkvivoFour alternatives
Beekeeper, Blink, Connecteam, StaffbaseTwo alternatives
Blink, ConnecteamGPT-5.4 miniStaffbaseConnecteamChangedMicrosoft 365 for Frontline WorkersBlinkagainst: Staffbase, Workvivono first choiceagainst: Frontline Education
One alternative
ConnecteamTwo alternatives
WorkJam, WorkdayTwo alternatives
Connecteam, FlipOne alternative
ConnecteamGemini 3.5 FlashBlink, Connecteamagainst: Firstup, StaffbaseConnecteamChangedConnecteamBreakroom Chatagainst: Google Workspace, Microsoft 365 for Frontline Workers, Slackno first choiceagainst: Facebook Messenger, Frontline Education, SharePoint, SubAlert, WhatsApp, iMessage
Three alternatives
Beekeeper, Yourco, goHappyFour alternatives
Blink, BuildOps, Deputy, ServiceTitanSeven alternatives
Beekeeper, Blink, Firstup, Flip, LumApps, Staffbase, WorkJamFour alternatives
Connecteam, Homebase, Pumble, SlingFive alternatives
Beekeeper, Flip, Staffbase, Workvivo, YOOBICPerplexity SonarBlinkConnecteamChangedBlink, StaffbaseConnecteamno first choiceagainst: Facebook Messenger, Frontline Education, Microsoft 365 for Frontline Workers, Signal, Slack, Telegram, WhatsApp, iMessage
Three alternatives
MangoApps, Staffbase, WorkvivoThree alternatives
Blink, MangoApps, SkeduloFive alternatives
Connecteam, MangoApps, WorkJam, YOOBIC, YourcoThree alternatives
Blink, Flock, PumbleGrok 4.1 FastConnecteamagainst: Firstup, LumApps, Microsoft 365 for Frontline Workers, Slack, StaffbaseConnecteamHeldno first choicePumbleagainst: Slackno first choiceagainst: Facebook Messenger, Frontline Education, Microsoft 365 for Frontline Workers, Signal, Slack, TeamViewer Frontline, Telegram, Twilio Frontline, WhatsApp
Two alternatives
Beekeeper, BlinkOne alternative
SkeduloTwo alternatives
Connecteam, HomebaseMistral SmallBeekeeper, RedeAppagainst: Microsoft 365 for Frontline WorkersConnecteamChangedno first choiceBlink, Connecteamno first choiceagainst: Frontline, Microsoft 365 for Frontline Workers, Signal, Slack, Telegram, WhatsApp
Two alternatives
Blink, SociabbleDeepSeek V4 FlashConnecteamDeputyChangedno first choicePebbagainst: Microsoft 365 for Frontline Workers, Slack, Workvivono first choiceagainst: Frontline Absence & Substitute, Frontline ERP & SIS, Frontline Mobile, Frontline Time & Attendance
Three alternatives
Beekeeper, Blink, StaffbaseTwo alternatives
Connecteam, SkeduloTwo alternatives
Blink, ConnecteamLlama 4 MaverickConnecteam, StaffbaseSkeduloChangedno first choiceBlinkno first choiceagainst: Frontline Education, Microsoft 365 for Frontline Workers, Signal, Slack, Staffbase, Telegram, WhatsApp
Two alternatives
Blink, MangoAppsQwen 3.7 FlashConnecteamagainst: Microsoft 365 for Frontline Workers, SlackConnecteamHeldagainst: Microsoft 365 for Frontline Workers, Slackno first choiceConnecteamagainst: Blinkno first choiceagainst: Outlook, SAP SuccessFactors, Slackagainst: Facebook Messenger, SMS, Telegram, WhatsApp, iMessage
Three alternatives
MangoApps, Oak Engage, StaffbaseTwo alternatives
Blink, MangoAppsFive alternatives
Blink, Evolia, Humanforce, MangoApps, theEMPLOYEEappOne alternative
PebbKimi K2Blink, ConnecteamConnecteam, DeputyChangedno first choiceConnecteamBlinkagainst: Facebook Messenger, Frontline Education, Signal, Telegram, TikTok, WhatsApp
Three alternatives
MangoApps, Staffbase, WorkvivoOne alternative
When I WorkThree alternatives
Homebase, Pebb, SlingFour alternatives
Beekeeper, Connecteam, Firstup, StaffbaseGLM 4.7 FlashXConnecteamConnecteamHeldMangoAppsConnecteamagainst: Discord, Workvivono first choiceagainst: Apple Mail, Dropbox, Facebook, Facebook Messenger, Gmail, Google Drive, Google Meet, Instagram, Instagram Direct, LinkedIn, Microsoft 365 for Frontline Workers, Outlook.com, Pinterest, SendAnywhere, Skype, Snapchat, Telegram, TikTok, Twitter, WeTransfer, WhatsApp, X, Yahoo Mail, Zoom, iCloud Drive
Six alternatives
Beekeeper, Blink, Firstup, Staffbase, WorkJam, WorkvivoOne alternative
DeputyEight alternatives
Beekeeper, Blink, Connecteam, Microsoft 365 for Frontline Workers, Speakap, Staffbase, WorkJam, YOOBICFive alternatives
ContactMonkey, Google Chat, Microsoft 365 for Frontline Workers, Slack, Slack Free PlanMiniMax M2.5ConnecteamMangoApps, Microsoft 365 for Frontline WorkersChangedno first choiceBlink, DeskAlertsno first choiceagainst: Facebook Messenger, Frontline Education, Signal, Telegram, WhatsApp
Three alternatives
Beekeeper, Blink, SociabbleThree alternatives
Beekeeper, Skedulo, WorkvivoTwo alternatives
Shifton, WorkJamGPT-6 LunaBlinkConnecteamChangedConnecteamSlingno first choiceagainst: Jobulator, SubAlert
Three alternatives
Beekeeper/LumApps, Connecteam, StaffbaseOne alternative
BlinkFive alternatives
Blink, Deputy, LumApps with Beekeeper, Microsoft 365 for Frontline Workers, StaffbaseOne alternative
ConnecteamMuse Glimmer 30BConnecteamConnecteamHeldConnecteamagainst: When I Work, WorkdayConnecteamagainst: Simpplr, Staffbase, WorkvivoBeekeeperagainst: Facebook Messenger, Frontline Education, Microsoft 365 for Frontline Workers, Signal, Slack, Staffbase, Telegram, WhatsApp, iMessage
Two alternatives
Beekeeper, BlinkFive alternatives
Beekeeper, Blink, Homebase, LumApps, WorkstreamNine alternatives
Beekeeper, Blink, Deputy, Firstup, Microsoft 365 for Frontline Workers, Staffbase, WorkJam, Workforce.com, YOOBICOne alternative
BlinkThree alternatives
Blink, MangoApps, StaffbaseBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:55 | yes | 9 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:36 | yes | 2 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:45 | yes | 18 | 25 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:43 | yes | 18 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:32 | yes | 24 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:03 | yes | 5 | 7 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:36 | yes | 18 | 26 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:11 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:17 | yes | 5 | 22 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:34 | yes | 16 | 26 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:54 | yes | 21 | 24 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:41 | yes | 12 | 36 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:46 | yes | 4 | 15 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:55 | yes | 20 | 23 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:16 | no | 0 | 3 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:32 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:08 | yes | 19 | 25 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 08:21 | yes | 18 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:06 | yes | 22 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:24 | yes | 9 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:15 | yes | 22 | 24 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:02 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:03 | yes | 5 | 24 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:27 | yes | 10 | 14 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:37 | yes | 15 | 103 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:27 | yes | 5 | 15 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:37 | yes | 2 | 15 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:26 | yes | 15 | 14 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:52 | yes | 9 | 7 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:54 | yes | 3 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:40 | yes | 23 | 32 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:21 | yes | 18 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:04 | yes | 20 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:51 | yes | 10 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:44 | yes | 19 | 29 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:43 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:48 | yes | 5 | 23 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:10 | yes | 22 | 26 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:49 | yes | 20 | 22 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:19 | yes | 12 | 22 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:39 | yes | 6 | 18 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:52 | yes | 15 | 32 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:28 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:36 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:46 | yes | 19 | 19 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 10:05 | yes | 20 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:02 | yes | 23 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:27 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:02 | yes | 24 | 25 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:20 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:05 | yes | 20 | 47 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:30 | yes | 20 | 20 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:31 | yes | 12 | 58 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:59 | yes | 5 | 20 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:18 | yes | 2 | 11 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:55 | yes | 13 | 18 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:35 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:57 | no | 0 | 5 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:38 | no | 0 | 14 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:09 | yes | 20 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:13 | yes | 15 | 11 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:21 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:49 | yes | 22 | 43 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:39 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:19 | no | 0 | 31 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:44 | yes | 9 | 21 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:07 | yes | 12 | 23 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:26 | yes | 5 | 14 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:18 | yes | 3 | 18 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:05 | yes | 11 | 21 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:40 | yes | 9 | 4 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:04 | yes | 5 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:32 | yes | 19 | 18 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:47 | yes | 19 | 2 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:59 | yes | 24 | 9 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:11 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:19 | yes | 24 | 38 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:52 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:55 | yes | 15 | 48 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:37 | yes | 25 | 36 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:59 | yes | 25 | 30 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:11 | yes | 5 | 16 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:10 | yes | 2 | 23 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:39 | yes | 12 | 25 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Microsoft Teams read as Microsoft 365 for Frontline Workers
Microsoft Teams (Frontline F1) read as Microsoft 365 for Frontline Workers
Microsoft Teams (Frontline) read as Microsoft 365 for Frontline Workers
Microsoft Teams Frontline read as Microsoft 365 for Frontline Workers
Oracle read as Oracle HCM Cloud
Teams read as Microsoft 365 for Frontline Workers
Unresolved, counted raw
Apple Mail
Breakroom Chat
BuildOps
DeskAlerts
Evolia
Frontline Absence & Substitute
Frontline ERP & SIS
Frontline Mobile (main app)
Frontline Time & Attendance
Humanforce
Instagram Direct
Jobulator
LumApps with Beekeeper
Netpresenter
Outlook.com
Rede App
SMS (Standard Texting)
SendAnywhere
Slack Free Plan
SubSidekick
Twilio Frontline
WeTransfer
Yahoo Mail
iCloud Drive
official Frontline app
Discontinued, still offered
No shut-down product was recommended here.