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Contact center quality assurance · October 2026 Edition

Scorebuddy vs Playvox

Five of fourteen models named Scorebuddy first on the direct prompt; zero named Playvox. Scorebuddy was named by twelve of the fourteen models and Playvox by eight and Scorebuddy carries 31 labels and Playvox 16, so the shares are not directly comparable.

Scorebuddy

accepted challenger

Named in one category this edition.

Playvox

accepted challenger

Named in one category this edition.

First-choice share18%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 13; printed, not drawn.
Labels3116A 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 Playvox · Scorebuddy vs Zendesk QA

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 modelsPlayvox
Direct50
Paraphrase31
Comparative00
Budget-constrained10
Scale-constrained00
Negative001 against Scorebuddy
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 Scorebuddy and Playvox stood in it.
ModelDirectSCPLParaphraseSCPLComparativeSCPLBudget-constrainedSCPLScale-constrainedSCPLNegativeSCPL
Claude Haiku 4.5SC
GPT-5.4 miniSC
Gemini 3.5 FlashSC
Perplexity SonarSCSC
Grok 4.1 FastSCSCPLSCSCPL
Mistral SmallSCSC
DeepSeek V4 FlashSCSCPLPLPL
Llama 4 MaverickSC
Qwen 3.7 FlashPL
Kimi K2PLSCPLSCPLSC
GLM 4.7 FlashXSCSC
MiniMax M2.5SCPL
GPT-6 Luna
Muse Glimmer 30BSCPLSC
SC ScorebuddyPL PlayvoxSC first choiceSC named as an alternativeSC argued againstblank: not namedEach cell is one answer, Scorebuddy on the left and Playvox on the right.

The direct prompt

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

Scorebuddy first, Playvox not the choice

5 of 14 modelsPlayvox 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

Neither was the first choice, one was named

7 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
Qwen 3.7 FlashCallMiner Eureka alternatives: Five9 Agent Connect, MaestroQA, NICE CXone Quality Management, Playvox
Kimi K2EvaluAgent alternatives: Playvox, ScorebuddyCX, Zendesk QA
GLM 4.7 FlashXAmplifAI, Balto alternatives: EvaluAgent, Playvox QM, Scorebuddy
Muse Glimmer 30BObserve.AI, Zendesk QA alternatives: EvaluAgent, Playvox, Scorebuddy

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashZendesk QA alternatives: EvaluAgent, Level AI, MaestroQA
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
Scorebuddy leads by seven points.
Scorebuddy7%#5 of 12
Playvox0%#– of 12
The full small business standing →
Mid-marketThe figures above
Scorebuddy leads by sixteen points.
Scorebuddy18%#2 of 13
Playvox2%#7 of 13
The full mid-market standing →
Enterprise
Scorebuddy leads by two points.
Scorebuddy2%#10 of 14
Playvox0%#– 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 Playvox

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

“Playvox or Scorebuddy are likely your best bets” Kimi K2 · paraphrase prompt · first choice
“the best-in-class solutions (e.g., Playvox, Qualtrics, advanced EnsembleIQ styles) combine AI for 100% coverage with human calibration” DeepSeek V4 Flash · negative prompt · alternative
“Best for: Contact centers needing QA + workforce management + gamification in one platform” Kimi K2 · comparative prompt · alternative
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.