HR AI Index
Index Vendors › EvalFlow · September 2026 Edition
2 categories · Named, not ranked

EvalFlow

9Judge labels
0First choices
0Negative labels
6 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Standing
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. EvalFlow was named 4 times in Performance management and 1 other category, where Lattice led with 41%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In performance management · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named EvalFlow for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Performance managementPerformance and talent management0%22 of 600%3under 10 labels · led by Lattice at 41%
360 feedbackPerformance and talent management0%48 of 770%1under 10 labels · led by Lattice at 40%

Movement

This is the first edition on this tier, so no move can be computed for EvalFlow yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated EvalFlow across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash01001
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00101
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX00000
MiniMax M2.500000

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct0 labelsNone
Paraphrase1 labelNone
Comparative3 labelsNone
Budget-constrained2 labelsNone
Scale-constrained2 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative9 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“A modern, AI-assisted platform that includes reviews, goal tracking, and continuous feedback” Gemini 3.5 Flash · Performance management · budget prompt · alternative
“EvalFlow ($6/user/month) is another strong contender” Kimi K2 · Performance management · budget prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as EvalFlow, over the 9 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and EvalFlow was named but was not.
ProductSame answerTook the first choice insteadHead to head
Lattice8 of 92Not in the top three
BambooHR6 of 90Not in the top three
Culture Amp5 of 91Not in the top three
Teamflect5 of 91Not in the top three
15Five5 of 90Not in the top three
Effy AI4 of 92Not in the top three
Betterworks4 of 90Not in the top three
PerformYard4 of 90Not in the top three
Leapsome3 of 90Not in the top three
Qualtrics3 of 90Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named EvalFlow. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 7 of the 9 answers that named EvalFlow and are not a share of its labels.

Domains cited

evalflow.comYour site7
effy.ai5
betterworks.com3
feedbackpulse.com3
workhuman.com3
capterra.com2
eletive.com2
forbes.com2
guideflow.com2
peoplemanagingpeople.com2

Twenty-four of the thirty-one domain citations in answers naming EvalFlow came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when EvalFlow's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as EvalFlow, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at evalflow.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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