Workforce planning · September 2026 Edition
ChartHop vs HiBob
Two of twelve models named ChartHop first on the direct prompt; two named HiBob. ChartHop was named by eleven of the twelve models and HiBob by nine and ChartHop carries 37 labels and HiBob 14, so the shares are not directly comparable.
Named in seven categories this edition.
Named in sixteen categories this edition.
First-choice share31%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#6A position in a field of 13; printed, not drawn.
Labels3714A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ChartHop reading right to left. Rank and label count are printed, not drawn.Workday Adaptive Planning was named alongside these two in eight of the twelve direct answers. ChartHop vs Homebase · ChartHop vs Rippling · ChartHop vs Workday Adaptive Planning
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 twelve models made each the first choice, per way of asking, and how many argued against it.
ChartHopFirst choices, of twelve modelsHiBob
Direct22
Paraphrase90
Comparative00
Budget-constrained101 against ChartHop
Scale-constrained40
Negative101 against HiBob
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.
Every model, every framing
The seventy-two answers behind the chart above, one cell each: where ChartHop 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 | |
ChartHop HiBob first choice named as an alternative argued againstblank: not namedEach cell is one answer, ChartHop on the left and HiBob on the right.The direct prompt
The plain question, one answer per model, grouped by where ChartHop and HiBob stood in it.
ChartHop first, HiBob an alternative
2 of 12 modelsHiBob was named in the answer but not as the choice, or not at all.Claude Haiku 4.5ChartHop alternatives: Deel, HiBob, Paylocity, Pigment
Gemini 3.5 FlashChartHop alternatives: Abacum, Mosaic, Pigment, Rippling, TeamOhana
HiBob first, ChartHop not the choice
2 of 12 modelsChartHop was named in the answer but not as the choice, or not at all.GPT-5.4 miniHiBob alternatives: Anaplan, Rippling, Workday Adaptive Planning
GLM 4.7 FlashXHiBob alternatives: Planful, Visier
Neither was the first choice, one was named
6 of 12 modelsThe answer put something else first and named one of the two as an alternative.Perplexity SonarWorkday Adaptive Planning alternatives: Abacum, HiBob, Paylocity, Visier
Grok 4.1 FastRippling alternatives: ChartHop, Paylocity, Planful, Workday Adaptive Planning
Mistral SmallWorkday Adaptive Planning alternatives: ADP Workforce Now, HiBob, Paylocity, Planful, Visier
DeepSeek V4 FlashPlanful, Workday Adaptive Planning alternatives: ADP Workforce Now, ChartHop, Paylocity, Pigment, Visier
Llama 4 MaverickWorkday Adaptive Planning alternatives: Abacum, HiBob, Paylocity, Planful, Visier
Kimi K2Rippling alternatives: ADP Workforce Now, HiBob, Paylocity, Pigment, Workday Adaptive Planning
Neither was named
2 of 12 modelsThe answer made no first choice from these two in this category.Qwen 3.7 FlashPlanful alternatives: Abacum, Orgvue, Paylocity, Visier, Workday Adaptive Planning
MiniMax M2.5Dayforce, Visier alternatives: Workday
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
ChartHop leads by thirteen points.
ChartHop13%#3 of 12HiBob0%#– of 12Mid-marketThe figures above
ChartHop leads by twenty-seven points.
ChartHop31%#1 of 13HiBob4%#6 of 13Enterprise
What the models said about ChartHop
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“ChartHop is known for its ease of use and strong visualization capabilities, particularly for mid-market organizations seeking greater organizational visibility” Claude Haiku 4.5 · direct prompt · first choice
“ChartHop: Highly visual, built around interactive org charts with excellent "what-if" scenario planning and strong mid-market integrations.” Gemini 3.5 Flash · scale prompt · first choice
“Choose ChartHop if you want a visual, collaborative, and HR-friendly tool... (This is the most common crowd-pleaser for mid-sized teams)” Gemini 3.5 Flash · paraphrase 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.
“Easy to use and intuitive, but customization limits and reporting depth are common complaints.” GLM 4.7 FlashX · negative prompt · soft negative
Also compared
ChartHop vs HomebaseChartHop vs RipplingChartHop vs Workday Adaptive PlanningChartHop vs PlanfulChartHop vs AbacumChartHop vs VisierHomebase vs HiBobRippling vs HiBobWorkday Adaptive Planning vs HiBobPlanful vs HiBobHiBob vs AbacumHiBob vs VisierAll 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.