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Index › Products › LeverTRM · September 2026 Edition
1 category · Named, not ranked

LeverTRM

3Judge labels
0First choices
0Negative labels
2 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.3, every buyer segment counted.
Standing
2 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. LeverTRM was named 2 times in People analytics, where HiBob led with 15%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business63 of 96
0%1 label
under the label threshold
Mid-market50 of 99
0%2 labels
under the label threshold
Enterprisenot named
0%
No model named it for this buyer.
In people analytics · 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 LeverTRM 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
People analyticsWorkforce planning and analytics0%50 of 990%2under 10 labels · led by HiBob at 15%

Movement

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

By model

How each model treated LeverTRM across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00101
Kimi K200000
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
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained2 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative3 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.

No positive label carried a quote.

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 LeverTRM, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and LeverTRM was named but was not.
ShowHide
ProductSame answerTook the first choice insteadHead to head
Visier3 of 31Not among the top eight
ChartHop2 of 30Not among the top eight
Culture Amp2 of 30Not among the top eight
Microsoft Viva Glint2 of 30Not among the top eight
Tableau2 of 30Not among the top eight
BambooHR1 of 30Not among the top eight
Caliper1 of 30Not among the top eight
Eightfold AI1 of 30Not among the top eight
Greenhouse1 of 30Not among the top eight
Gusto1 of 30Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

Names read as LeverTRM

What the judge wrote, as written, with how often. The vendor table decides that these count as LeverTRM; a claim can dispute any of them.
Lever 1LeverTRM (Talent Intelligence) 1

Follow LeverTRM

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

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 LeverTRM'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 LeverTRM, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

With a new claim: the vendor brief

A new claim receives the current edition's vendor brief for LeverTRM by email, built from the raw record of the edition. It shows:

  • where LeverTRM is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name LeverTRM, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.

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 lever.co 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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