Workforce planning · October 2026 Edition
Planful vs HiBob
Two of fourteen models named Planful first on the direct prompt; three named HiBob. Planful was named by seven of the fourteen models and HiBob by ten and Planful carries 15 labels and HiBob 11, so the shares are not directly comparable.
Named in one category this edition.
Named in twenty-four categories this edition.
First-choice share5%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 15; printed, not drawn.
Labels1511A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Planful 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. ChartHop vs Planful · ChartHop vs HiBob · Homebase vs Planful
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 planning page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
PlanfulFirst choices, of fourteen modelsHiBob
Direct23
Paraphrase00
Comparative00
Budget-constrained00
Scale-constrained10
Negative001 against Planful · 1 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 Planful and HiBob stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | | |||||
| Grok 4.1 Fast | | | ||||
| 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 | | |
Planful HiBob first choice named as an alternative argued againstblank: not namedEach cell is one answer, Planful on the left and HiBob on the right.The direct prompt
The plain question, one answer per model, grouped by where Planful and HiBob stood in it.
Planful first, HiBob not the choice
2 of 14 modelsHiBob was named in the answer but not as the choice, or not at all.DeepSeek V4 FlashAbacum, Planful alternatives: ADP Workforce Now, Workday Adaptive Planning
Muse Glimmer 30BAbacum, Planful alternatives: ChartHop, Paylocity, Vena, Visier, Workday Adaptive Planning
HiBob first, Planful an alternative
3 of 14 modelsPlanful was named in the answer but not as the choice, or not at all.Claude Haiku 4.5ChartHop, HiBob alternatives: Paylocity, Planful, Visier
Grok 4.1 FastHiBob, Rippling alternatives: ChartHop
MiniMax M2.5HiBob alternatives: ChartHop, Paylocity, Rippling
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniWorkday Adaptive Planning alternatives: Anaplan, HiBob, Rippling
Perplexity SonarPaylocity alternatives: ChartHop, Drivetrain, HiBob, Workday Adaptive Planning
Qwen 3.7 FlashChartHop alternatives: Planful, Rippling, Visier
Kimi K2ChartHop alternatives: Abacum, Paylocity, Planful, Workday Adaptive Planning
Neither was named
5 of 14 modelsThe answer made no first choice from these two in this category.Gemini 3.5 FlashChartHop alternatives: Aleph, Cube, Lative, Mosaic, Pigment, Runn, TeamOhana
Mistral SmallChartHop alternatives: Anaplan, Paylocity, Visier
Llama 4 Maverickno first choice
GLM 4.7 FlashXChartHop alternatives: Anaplan, Paylocity, Visier, Workday Adaptive Planning
GPT-6 LunaTeamOhana alternatives: Pigment, Workday Adaptive Planning
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
Level: the same share of first choices.
Planful0%#– of 13HiBob0%#– of 13Mid-marketThe figures above
Level: the same share of first choices.
Planful5%#6 of 15HiBob5%#7 of 15Enterprise
What the models said about Planful
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Planful has a steep learning curve and an unintuitive user interface” Claude Haiku 4.5 · negative prompt · soft negative
“For most mid-market B2B companies, Planful or Abacum will deliver the strongest value without enterprise-level costs and complexity.” DeepSeek V4 Flash · direct prompt · first choice
“These are the most commonly recommended for mid-market teams that want FP&A grade modeling without enterprise complexity.” Muse Glimmer 30B · direct prompt · first choice
“sweet spot for Workday Adaptive Planning, Planful, Abacum, and Visier” MiniMax M2.5 · scale prompt · first choice
What the models said about HiBob
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“HiBob is best for mid-market people analytics and engagement, combining customizable reporting, performance management, and culture-building features” Claude Haiku 4.5 · direct prompt · first choice
Also compared
ChartHop vs PlanfulChartHop vs HiBobHomebase vs PlanfulHomebase vs HiBobAbacum vs PlanfulAbacum vs HiBobWorkday Adaptive Planning vs PlanfulWorkday Adaptive Planning vs HiBobTeamOhana vs PlanfulTeamOhana vs HiBobPlanful vs RipplingHiBob vs RipplingAll twenty-eight head-to-head pages and the full workforce planning standing
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.