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Index › HR › Performance and talent management › 360 feedback › Lattice vs Teamflect
360 feedback · November 2026 Edition

Lattice vs Teamflect

Eight of fourteen models named Lattice first on the direct prompt; zero named Teamflect. Lattice was named by fourteen of the fourteen models and Teamflect by ten and Lattice carries 57 labels and Teamflect 16, so the shares are not directly comparable.

Lattice

endorsed leader

Named in fifteen categories this edition.

Teamflect

accepted challenger

Named in six categories this edition.

First-choice share38%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 18; printed, not drawn.
Labels5716A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Lattice reading right to left. Rank and label count are printed, not drawn.Spidergap was named alongside these two in eleven of the fourteen direct answers. Lattice vs Spidergap · Lattice vs Culture Amp · Lattice vs Effy AI

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 360 feedback page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
LatticeFirst choices, of fourteen modelsTeamflect
Direct80
Paraphrase100
Comparative60
Budget-constrained024 against Lattice
Scale-constrained40
Negative002 against Lattice
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 Lattice and Teamflect stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Lattice Teamflect first choice named as an alternative argued againstblank: not namedEach cell is one answer, Lattice on the left and Teamflect on the right.

The direct prompt

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

Lattice first, Teamflect not the choice

8 of 14 modelsTeamflect was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Lattice alternatives: 15Five, Leapsome, People Element, Primalogik, Spidergap
Gemini 3.5 FlashLattice alternatives: Culture Amp, Leapsome, PerformYard, Spidergap
Perplexity SonarLattice alternatives: Leapsome, Questback, Small Improvements, Spidergap
Grok 4.20Lattice alternatives: Culture Amp, Leapsome, Spidergap
DeepSeek V4 FlashLattice, Spidergap alternatives: Culture Amp
Qwen 3.7 FlashLattice alternatives: 15Five, Betterworks, Culture Amp
Kimi K2Lattice alternatives: 15Five, Culture Amp, Spidergap
GPT-6 LunaLattice alternatives: 15Five, Culture Amp, Leapsome

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.
Mistral SmallSpidergap alternatives: FeedbackPulse, Lattice, Synergita Perform
Llama 4 MaverickSpidergap alternatives: Culture Amp, Lattice
GLM 4.7 FlashXSpidergap alternatives: Culture Amp, EchoSpan, Lattice
MiniMax M2.5Spidergap alternatives: Culture Amp, EchoSpan, Lattice, Leapsome
Muse Glimmer 30BSpidergap alternatives: BambooHR, Culture Amp, Lattice, Leapsome

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniCulture Amp alternatives: CR360, EchoSpan, HiBob

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
Lattice leads by five points.
Lattice7%#5 of 14
Teamflect2%#9 of 14
The full small business standing →
Mid-marketThe figures above
Lattice leads by thirty-four points.
Lattice38%#1 of 18
Teamflect3%#7 of 18
The full mid-market standing →
Enterprise
Lattice leads by nine points.
Lattice9%#2 of 11
Teamflect0%#– of 11
The full enterprise standing →

What the models said about Lattice

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

“Avoid enterprise tools like Lattice, 15Five, or Culture Amp—they often have high minimums” Grok 4.20 · budget prompt · hard negative
“A comprehensive people management platform with 360-degree feedback capabilities, strong integration options, and good scalability for mid-market companies.” Claude Haiku 4.5 · paraphrase prompt · first choice
“Choose Lattice or Leapsome if you want an modern, all-in-one software suite that handles 1:1s, OKRs, continuous feedback, and 360 reviews in one place.” Gemini 3.5 Flash · comparative prompt · first choice

What the models said about Teamflect

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

“Teamflect is the most frequently cited "value for money" free option for small business.” Muse Glimmer 30B · budget prompt · first choice
Also compared
Lattice vs SpidergapLattice vs Culture AmpLattice vs Effy AILattice vs FeedbackPulseLattice vs LeapsomeLattice vs 15FiveSpidergap vs TeamflectCulture Amp vs TeamflectEffy AI vs TeamflectFeedbackPulse vs TeamflectLeapsome vs TeamflectTeamflect vs 15FiveAll twenty-eight head-to-head pages and the full 360 feedback 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.