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People analytics · October 2026 Edition

HiBob vs Orgnostic

Three of fourteen models named HiBob first on the direct prompt; one named Orgnostic. HiBob was named by fourteen of the fourteen models and Orgnostic by seven and HiBob carries 29 labels and Orgnostic 10, so the shares are not directly comparable.

HiBob

accepted challenger

Named in twenty-four categories this edition.

Orgnostic

accepted challenger

Named in two categories this edition.

First-choice share19%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 11; printed, not drawn.
Labels2910A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, HiBob reading right to left. Rank and label count are printed, not drawn.ChartHop was named alongside these two in ten of the fourteen direct answers. Crunchr vs HiBob · Crunchr vs Orgnostic · ChartHop vs HiBob

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 people analytics page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
HiBobFirst choices, of fourteen modelsOrgnostic
Direct31
Paraphrase601 against HiBob
Comparative001 against HiBob
Budget-constrained00
Scale-constrained21
Negative011 against HiBob
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 HiBob and Orgnostic stood in it.
ModelDirectORParaphraseORComparativeORBudget-constrainedORScale-constrainedORNegativeOR
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 FlashOROR
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 FlashOROR
Kimi K2OR
GLM 4.7 FlashXOR
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30BOR
HiBobOR Orgnostic first choice named as an alternative argued againstblank: not namedEach cell is one answer, HiBob on the left and Orgnostic on the right.

The direct prompt

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

HiBob first, Orgnostic not the choice

3 of 14 modelsOrgnostic was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5HiBob alternatives: Rippling, Visier
GPT-5.4 miniHiBob alternatives: Crunchr, PeopleInsight
Perplexity SonarHiBob alternatives: Crunchr

Orgnostic first, HiBob an alternative

1 of 14 modelsHiBob was named in the answer but not as the choice, or not at all.
GLM 4.7 FlashXCrunchr, Orgnostic alternatives: ChartHop, HiBob, Worklytics

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Qwen 3.7 FlashChartHop alternatives: HiBob, Lattice, One Model, Visier
Kimi K2ChartHop alternatives: HiBob, Lattice
GPT-6 LunaChartHop alternatives: HiBob, Lattice, Visier

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashKnoetic alternatives: ChartHop, Culture Amp, Visier
Grok 4.1 FastChartHop alternatives: BambooHR, Culture Amp, Eletive, Lattice, Visier
Mistral SmallChartHop, Crunchr alternatives: BambooHR, Eletive
DeepSeek V4 FlashCrunchr alternatives: ChartHop, Culture Amp
Llama 4 MaverickCrunchr alternatives: Ordio, Workhuman iQ
MiniMax M2.5Crunchr alternatives: ChartHop, Culture Amp, Workday People Analytics, Workhuman iQ
Muse Glimmer 30BChartHop, Crunchr

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
HiBob leads by five points.
HiBob5%#5 of 16
Orgnostic0%#– of 16
The full small business standing →
Mid-marketThe figures above
HiBob leads by sixteen points.
HiBob19%#3 of 11
Orgnostic3%#6 of 11
The full mid-market standing →
Enterprise
Level: the same share of first choices.
HiBob0%#– of 10
Orgnostic0%#– of 10
The full enterprise standing →

What the models said about HiBob

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

“Tools like Hibob (Bob) receive positive reviews, but they are frequently flagged for being unsuitable for lightweight or entry-level analytics needs” DeepSeek V4 Flash · negative prompt · soft negative
“inherently limited when it comes to analyzing external data sources ... and lack the deep predictive algorithms of dedicated engines like Visier.” Gemini 3.5 Flash · comparative prompt · soft negative
“First, check if your current HRIS (like Rippling or HiBob) has advanced analytics add-ons that you can simply turn on. This is often the cheapest and easiest route.” Gemini 3.5 Flash · scale prompt · first choice
“For mid-market B2B companies, HiBob tends to offer the best balance of ease of deployment, affordability, and embedded analytics within an HRIS.” Claude Haiku 4.5 · direct prompt · first choice

What the models said about Orgnostic

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

“Crunchr (fast, self‑serve, GDPR‑first) or Orgnostic (turnkey, survey‑focused)” GLM 4.7 FlashX · direct prompt · first choice
“For mid-market teams, options often shortlisted are Crunchr, ChartHop, or Orgnostic” Muse Glimmer 30B · scale prompt · first choice
“prioritize out-of-the-box, self-service platforms (like *Crunchr* or *Orgnostic*)” Gemini 3.5 Flash · negative 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.