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Index › Performance and talent management › Goals and OKRs › OKRs Tool vs Betterworks
Goals and OKRs · October 2026 Edition

OKRs Tool vs Betterworks

Zero of fourteen models named OKRs Tool first on the direct prompt; zero named Betterworks. OKRs Tool was named by twelve of the fourteen models and Betterworks by thirteen and OKRs Tool carries 15 labels and Betterworks 26, so the shares are not directly comparable.

OKRs Tool

accepted challenger

Named in one category this edition.

Betterworks

accepted challenger

Named in six categories this edition.

First-choice share11%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate13%23%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 14; printed, not drawn.
Labels1526A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, OKRs Tool reading right to left. Rank and label count are printed, not drawn.Perdoo was named alongside these two in twelve of the fourteen direct answers. Perdoo vs OKRs Tool · Perdoo vs Betterworks · Tability vs OKRs Tool

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 goals and okrs page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
OKRs ToolFirst choices, of fourteen modelsBetterworks
Direct001 against Betterworks
Paraphrase011 against Betterworks
Comparative001 against Betterworks
Budget-constrained60
Scale-constrained00
Negative002 against OKRs Tool · 3 against Betterworks
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 OKRs Tool and Betterworks 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
OKRs Tool Betterworks first choice named as an alternative argued againstblank: not namedEach cell is one answer, OKRs Tool on the left and Betterworks on the right.

The direct prompt

The plain question, one answer per model, grouped by where OKRs Tool and Betterworks stood in it.

Neither was named

14 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Mooncamp alternatives: Perdoo, Profit.co, Tability
GPT-5.4 miniPerdoo alternatives: Profit.co, WorkBoard
Gemini 3.5 FlashTability alternatives: Lattice, Leapsome, Oboard, Perdoo, Profit.co
Perplexity SonarTability alternatives: Mooncamp, Perdoo
Grok 4.1 FastLattice alternatives: Mooncamp, Profit.co, Weekdone, WorkBoard
Mistral SmallPerdoo, Tability alternatives: Lattice, Mooncamp
DeepSeek V4 FlashPerdoo alternatives: Microsoft Viva Goals, Mooncamp, Profit.co
Llama 4 Maverickno first choice
Qwen 3.7 FlashMooncamp, Perdoo
Kimi K2Tability alternatives: Mooncamp, Perdoo, Profit.co
GLM 4.7 FlashXTability alternatives: Mooncamp, Perdoo, Profit.co
MiniMax M2.5Tability alternatives: Lattice, Mooncamp, Perdoo, Profit.co
GPT-6 LunaPerdoo alternatives: Lattice, Profit.co, WorkBoard
Muse Glimmer 30BMooncamp, Tability alternatives: HiBob, Perdoo, Profit.co

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
OKRs Tool leads by four points.
OKRs Tool4%#7 of 17
Betterworks0%#16 of 17
The full small business standing →
Mid-marketThe figures above
OKRs Tool leads by nine points.
OKRs Tool11%#4 of 14
Betterworks2%#7 of 14
The full mid-market standing →
Enterprise
The order flips: Betterworks leads at enterprise.
Betterworks23%#2 of 13
OKRs Tool13%#4 of 13
The full enterprise standing →

What the models said about OKRs Tool

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

“OKRs Tool (very young vendor, no certifications, built on unproven tech)” DeepSeek V4 Flash · negative prompt · hard negative
“Niche or limited tools (e.g., some like OKRsTool or smaller ones): Steep learning curves, busy navigation, or superficial integrations.” Grok 4.1 Fast · negative prompt · soft negative
“The best OKR software for a company with a limited budget is OKRs Tool, which is a flat-fee OKR platform that is ideal for budget-conscious teams.” Llama 4 Maverick · budget prompt · first choice
“OKRs Tool\u2019s flat $49/month rate is likely the best value compared to Weekdone\u2019s per-user cost” Qwen 3.7 Flash · budget prompt · first choice
“OKRs Tool or Perdoo offer the strongest combination of features, affordability, and scalability.” DeepSeek V4 Flash · budget prompt · first choice

What the models said about Betterworks

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

“Enterprise-heavy platforms (e.g., WorkBoard, Betterworks, Ally.io): Great for large orgs but criticized for ... Complexity: Mandatory fields overload, feature bloat” Grok 4.1 Fast · negative prompt · soft negative
“Tools like Lattice, Leapsome, Betterworks... often fall short when strategy or operations teams need a leadership cockpit.” MiniMax M2.5 · negative prompt · soft negative
“Tability and Betterworks are the top choices” Mistral Small · paraphrase 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.