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Contact center quality assurance · November 2026 Edition

EvaluAgent vs Talkdesk Quality Management

Two of fourteen models named EvaluAgent first on the direct prompt; one named Talkdesk Quality Management. EvaluAgent was named by fourteen of the fourteen models and Talkdesk Quality Management by nine and EvaluAgent carries 41 labels and Talkdesk Quality Management 15, so the shares are not directly comparable.

EvaluAgent

accepted challenger

Named in one category this edition.

Talkdesk Quality Management

accepted challenger

Named in one category this edition.

First-choice share17%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%13%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#8A position in a field of 17; printed, not drawn.
Labels4115A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, EvaluAgent reading right to left. Rank and label count are printed, not drawn.Zendesk QA was named alongside these two in eight of the fourteen direct answers. Voxjar vs EvaluAgent · Voxjar vs Talkdesk Quality Management · EvaluAgent vs MaestroQA

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.
EvaluAgentFirst choices, of fourteen modelsTalkdesk Quality Management
Direct211 against Talkdesk Quality Management
Paraphrase40
Comparative00
Budget-constrained20
Scale-constrained00
Negative001 against Talkdesk Quality Management
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 November 2026 Edition, EvaluAgent and Talkdesk Quality Management were named in the same answer twenty-four times, of the 106 answers naming EvaluAgent and the 37 naming Talkdesk Quality Management. In those answers Talkdesk Quality Management took the first choice one time and EvaluAgent one.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where EvaluAgent and Talkdesk Quality Management stood in it.
ModelDirectTQParaphraseTQComparativeTQBudget-constrainedTQScale-constrainedTQNegativeTQ
Claude Haiku 4.5
GPT-5.4 miniTQTQTQ
Gemini 3.5 Flash
Perplexity SonarTQTQ
Grok 4.20TQTQTQ
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2TQ
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30BTQ
EvaluAgentTQ Talkdesk Quality Management first choice named as an alternative argued againstblank: not namedEach cell is one answer, EvaluAgent on the left and Talkdesk Quality Management on the right.

The direct prompt

The plain question, one answer per model, grouped by where EvaluAgent and Talkdesk Quality Management stood in it.

EvaluAgent first, Talkdesk Quality Management not the choice

2 of 14 modelsTalkdesk Quality Management was named in the answer but not as the choice, or not at all.
Kimi K2EvaluAgent alternatives: MaestroQA, Observe.AI, Zendesk QA
GPT-6 LunaEvaluAgent alternatives: Level AI, ScorebuddyCX, Zendesk QA

Talkdesk Quality Management first, EvaluAgent an alternative

1 of 14 modelsEvaluAgent was named in the answer but not as the choice, or not at all.
GPT-5.4 miniTalkdesk Quality Management alternatives: EvaluAgent, MaestroQA, Salesforce Service Cloud, ScorebuddyCX, my.SQM Auto QA

Neither was the first choice, one was named

9 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5ScorebuddyCX alternatives: CloudTalk, EvaluAgent, Voxjar
Gemini 3.5 FlashMaestroQA alternatives: EvaluAgent, Level AI, Scorebuddy, Zendesk QA
Perplexity SonarScorebuddy alternatives: Level AI, Rippit, formerly MaestroQA, Talkdesk Quality Management, Voxjar, Zendesk QA
Grok 4.20ScorebuddyCX alternatives: CloudTalk, EvaluAgent, Insightful, SQM CX Quality™, Zendesk QA
Mistral SmallInsightful, Zendesk QA alternatives: CallFinder, EvaluAgent
DeepSeek V4 FlashZendesk QA alternatives: EvaluAgent, Observe.AI, ScorebuddyCX, Voxjar
Qwen 3.7 FlashVoxjar alternatives: EvaluAgent, Insightful, Zendesk QA
GLM 4.7 FlashXPlayvox QM, ScorebuddyCX alternatives: CloudTalk, EvaluAgent
Muse Glimmer 30BPlayvox QM, Scorebuddy alternatives: Balto, CloudTalk, EvaluAgent

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 Maverickno first choice
MiniMax M2.5MaestroQA alternatives: Convin, Scorebuddy

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
EvaluAgent leads by eleven points.
EvaluAgent11%#4 of 13
Talkdesk Quality Management0%#10 of 13
The full small business standing →
Mid-marketThe figures above
EvaluAgent leads by fifteen points.
EvaluAgent17%#2 of 17
Talkdesk Quality Management2%#8 of 17
The full mid-market standing →
Enterprise
EvaluAgent leads by ten points.
EvaluAgent10%#2 of 15
Talkdesk Quality Management0%#14 of 15
The full enterprise standing →

What the models said about EvaluAgent

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

“For most mid-sized B2B companies, EvaluAgent is the best balance of automation, pricing transparency, and ease of use.” Mistral Small · paraphrase prompt · first choice
“My default pick: evaluagent for a mid-market B2B company that wants a dedicated QA tool” GPT-6 Luna · direct prompt · first choice
“The key differentiator for mid-sized B2B teams is usually EvaluAgent” DeepSeek V4 Flash · paraphrase prompt · first choice

What the models said about Talkdesk Quality Management

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

“platforms like Talkdesk (which includes QA features) have received significant complaints on sites like Trustpilot (rated around 1.5/5 in some periods), including slow issue resolution, high costs, unreliable setups, and inadequate support” Grok 4.20 · negative prompt · hard negative
“their QA modules are robust with AI, but they can feel heavier/ pricier for pure QA needs” Grok 4.20 · direct prompt · soft negative
“the best all-around contact center QA tool is often Talkdesk” GPT-5.4 mini · direct prompt · first choice
“AI-powered with strong analytics, automated QA scoring, and workflow automation... can be more expensive for smaller teams” Grok 4.20 · comparative prompt · alternative
“Best pick for QA teams that need calibration, since side-by-side scoring flows help multiple evaluators stay consistent” Muse Glimmer 30B · 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.