AI Indexes
HR AI Index
Index › Workforce planning and analytics › Workforce planning › TeamOhana vs Planful
Workforce planning · October 2026 Edition

TeamOhana vs Planful

One of fourteen models named TeamOhana first on the direct prompt; two named Planful. TeamOhana was named by eight of the fourteen models and Planful by seven and TeamOhana carries 13 labels and Planful 15, so the shares are not directly comparable.

TeamOhana

accepted challenger

Named in two categories this edition.

Planful

accepted challenger

Named in one category this edition.

First-choice share5%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 15; printed, not drawn.
Labels1315A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, TeamOhana 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 TeamOhana · ChartHop vs Planful · Homebase vs TeamOhana

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.
TeamOhanaFirst choices, of fourteen modelsPlanful
Direct12
Paraphrase20
Comparative00
Budget-constrained00
Scale-constrained01
Negative001 against Planful
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 TeamOhana and Planful stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
TeamOhana Planful first choice named as an alternative argued againstblank: not namedEach cell is one answer, TeamOhana on the left and Planful on the right.

The direct prompt

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

TeamOhana first, Planful not the choice

1 of 14 modelsPlanful was named in the answer but not as the choice, or not at all.
GPT-6 LunaTeamOhana alternatives: Pigment, Workday Adaptive Planning

Planful first, TeamOhana not the choice

2 of 14 modelsTeamOhana 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

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.
Claude Haiku 4.5ChartHop, HiBob alternatives: Paylocity, Planful, Visier
Gemini 3.5 FlashChartHop alternatives: Aleph, Cube, Lative, Mosaic, Pigment, Runn, TeamOhana
Qwen 3.7 FlashChartHop alternatives: Planful, Rippling, Visier
Kimi K2ChartHop alternatives: Abacum, Paylocity, Planful, Workday Adaptive Planning

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniWorkday Adaptive Planning alternatives: Anaplan, HiBob, Rippling
Perplexity SonarPaylocity alternatives: ChartHop, Drivetrain, HiBob, Workday Adaptive Planning
Grok 4.1 FastHiBob, Rippling alternatives: ChartHop
Mistral SmallChartHop alternatives: Anaplan, Paylocity, Visier
Llama 4 Maverickno first choice
GLM 4.7 FlashXChartHop alternatives: Anaplan, Paylocity, Visier, Workday Adaptive Planning
MiniMax M2.5HiBob alternatives: ChartHop, Paylocity, Rippling

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
TeamOhana leads by two points.
TeamOhana2%#8 of 13
Planful0%#– of 13
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
TeamOhana5%#5 of 15
Planful5%#6 of 15
The full mid-market standing →
Enterprise
TeamOhana leads by two points.
TeamOhana4%#– of 10
Planful2%#– of 10
The full enterprise standing →

What the models said about TeamOhana

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

“I'd start with TeamOhana. It's purpose-built to connect Finance, HR, and Talent around a shared hiring plan” GPT-6 Luna · direct prompt · first choice
“My default recommendation: TeamOhana” GPT-6 Luna · paraphrase prompt · first choice
“## Top Recommendation: TeamOhana” MiniMax M2.5 · paraphrase prompt · first choice

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
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.