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Contact center quality assurance · October 2026 Edition

Scorebuddy vs Zendesk QA

Five of fourteen models named Scorebuddy first on the direct prompt; two named Zendesk QA. Scorebuddy was named by twelve of the fourteen models and Zendesk QA by thirteen and Scorebuddy carries 31 labels and Zendesk QA 28, so the shares are not directly comparable.

Scorebuddy

accepted challenger

Named in one category this edition.

Zendesk QA

accepted challenger

By Zendesk, San Francisco, United States, founded 2007. Named in one category this edition.

First-choice share18%14%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%4%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 13; printed, not drawn.
Labels3128A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Scorebuddy reading right to left. Rank and label count are printed, not drawn.EvaluAgent was named alongside these two in twelve of the fourteen direct answers. EvaluAgent vs Scorebuddy · EvaluAgent vs Zendesk QA · Scorebuddy vs Playvox QM

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 contact center quality assurance page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
ScorebuddyFirst choices, of fourteen modelsZendesk QA
Direct52
Paraphrase34
Comparative01
Budget-constrained11
Scale-constrained00
Negative001 against Scorebuddy · 1 against Zendesk QA
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.

Across every category in the October 2026 Edition, Scorebuddy and Zendesk QA were named in the same answer thirty-three times, of the 80 answers naming Scorebuddy and the 84 naming Zendesk QA. In those answers Zendesk QA took the first choice four times and Scorebuddy seven.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Scorebuddy and Zendesk QA stood in it.
ModelDirectSCParaphraseSCComparativeSCBudget-constrainedSCScale-constrainedSCNegativeSC
Claude Haiku 4.5SC
GPT-5.4 miniSC
Gemini 3.5 FlashSC
Perplexity SonarSCSC
Grok 4.1 FastSCSCSCSC
Mistral SmallSCSC
DeepSeek V4 FlashSCSC
Llama 4 MaverickSC
Qwen 3.7 Flash
Kimi K2SCSCSC
GLM 4.7 FlashXSCSC
MiniMax M2.5SC
GPT-6 Luna
Muse Glimmer 30BSCSC
SC Scorebuddy Zendesk QASC first choiceSC named as an alternativeSC argued againstblank: not namedEach cell is one answer, Scorebuddy on the left and Zendesk QA on the right.

The direct prompt

The plain question, one answer per model, grouped by where Scorebuddy and Zendesk QA stood in it.

Scorebuddy first, Zendesk QA an alternative

5 of 14 modelsZendesk QA was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Scorebuddy alternatives: Convin, EvaluAgent, Gong, Level AI
Perplexity SonarScorebuddy alternatives: AmplifAI, Balto, EvaluAgent, Level AI
Grok 4.1 FastEvaluAgent, Scorebuddy alternatives: Balto, Talkdesk QM, Zendesk QA
Mistral SmallEvaluAgent, Scorebuddy alternatives: Talkdesk
MiniMax M2.5Scorebuddy alternatives: EvaluAgent, Voxjar, Zendesk QA

Zendesk QA first, Scorebuddy an alternative

2 of 14 modelsScorebuddy was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashZendesk QA alternatives: EvaluAgent, Level AI, MaestroQA
Muse Glimmer 30BObserve.AI, Zendesk QA alternatives: EvaluAgent, Playvox, Scorebuddy

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniLevel AI alternatives: Calabrio ONE, Scorebuddy, Zendesk QA
DeepSeek V4 FlashEvaluAgent alternatives: AmplifAI, Observe.AI, Scorebuddy, Talkdesk, Zendesk QA
Llama 4 MaverickEvaluAgent alternatives: GetApp, Scorebuddy
Kimi K2EvaluAgent alternatives: Playvox, ScorebuddyCX, Zendesk QA
GLM 4.7 FlashXAmplifAI, Balto alternatives: EvaluAgent, Playvox QM, Scorebuddy

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Qwen 3.7 FlashCallMiner Eureka alternatives: Five9 Agent Connect, MaestroQA, NICE CXone Quality Management, Playvox
GPT-6 LunaEvaluAgent alternatives: CallMiner Eureka, NICE CXone Quality Management

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
Zendesk QA leads by two points.
Zendesk QA9%#4 of 12
Scorebuddy7%#5 of 12
The full small business standing →
Mid-marketThe figures above
The order flips: Scorebuddy leads at mid-market.
Scorebuddy18%#2 of 13
Zendesk QA14%#3 of 13
The full mid-market standing →
Enterprise
The order flips: Zendesk QA leads at enterprise.
Zendesk QA4%#7 of 14
Scorebuddy2%#10 of 14
The full enterprise standing →

What the models said about Scorebuddy

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

“Suggest the vendor isn't investing in the product (mentioned about some tools like Scorebuddy)” Kimi K2 · negative prompt · soft negative
“Scorebuddy (now ScorebuddyCX) stands out as one of the best contact center quality assurance (QA) tools” Grok 4.1 Fast · budget prompt · first choice
“EvaluAgent and Scorebuddy are often highlighted as the most cost-effective and scalable options” Mistral Small · direct prompt · first choice
“I'd recommend Scorebuddy as a strong starting point for support QA and conversation review.” Grok 4.1 Fast · paraphrase prompt · first choice

What the models said about Zendesk QA

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

“Tools that rely heavily on AI scoring (e.g., Observe.AI, Kaizo, Zendesk QA/Formerly Klaus)” DeepSeek V4 Flash · negative prompt · soft negative
“If you are Zendesk-native: Zendesk QA, formerly Klaus ... Zendesk QA gives the deepest native integration and risk-based review without manual sampling.” Muse Glimmer 30B · direct prompt · first choice
“A highly automated, AI-driven QA tool built specifically for support teams, now natively unified inside the Zendesk ecosystem.” Gemini 3.5 Flash · comparative prompt · first choice
“I'd recommend Zendesk QA (formerly Klaus) if your priority is support quality assurance and conversation review” Perplexity Sonar · paraphrase prompt · first choice
Also compared
EvaluAgent vs ScorebuddyEvaluAgent vs Zendesk QAScorebuddy vs Playvox QMScorebuddy vs CloudTalkScorebuddy vs MaestroQAScorebuddy vs PlayvoxScorebuddy vs Level AIZendesk QA vs Playvox QMZendesk QA vs CloudTalkZendesk QA vs MaestroQAZendesk QA vs PlayvoxZendesk QA vs Level AIAll twenty-eight head-to-head pages and the full Contact center QA 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.