Coaching platforms · October 2026 Edition
Lattice vs CoachHub
Five of fourteen models named Lattice first on the direct prompt; zero named CoachHub. Lattice was named by ten of the fourteen models and CoachHub by thirteen and Lattice carries 11 labels and CoachHub 40, so the shares are not directly comparable.
Named in nineteen categories this edition.
Named in two categories this edition.
First-choice share9%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%30%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 13; printed, not drawn.
Labels1140A 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.Growthspace was named alongside these two in ten of the fourteen direct answers. Growthspace vs Lattice · Growthspace vs CoachHub · Exec vs Lattice
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 coaching platforms 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 modelsCoachHub
Direct502 against CoachHub
Paraphrase02
Comparative01
Budget-constrained001 against Lattice · 7 against CoachHub
Scale-constrained00
Negative003 against CoachHub
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 CoachHub stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | ||||
| Grok 4.1 Fast | | | | |||
| 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 CoachHub first choice named as an alternative argued againstblank: not namedEach cell is one answer, Lattice on the left and CoachHub on the right.The direct prompt
The plain question, one answer per model, grouped by where Lattice and CoachHub stood in it.
Lattice first, CoachHub an alternative
5 of 14 modelsCoachHub was named in the answer but not as the choice, or not at all.GPT-5.4 miniLattice alternatives: CoachHub, Culture Amp, Torch, Valence
Grok 4.1 FastLattice alternatives: 15Five, Betterworks, CoachHub, Jiminny, Leapsome, Showpad Coach
DeepSeek V4 FlashGrowthspace, Lattice alternatives: Betterworks
Qwen 3.7 FlashLattice alternatives: Growthspace, Motivosity
Kimi K215Five, Lattice alternatives: Betterworks, CoachHub, Growthspace
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Perplexity SonarTorch alternatives: Betterworks, Cloverleaf, Lattice
Llama 4 MaverickTorch alternatives: Growthspace, Lattice, Motivosity
GLM 4.7 FlashXBetterUp alternatives: CoachHub, Growthspace
MiniMax M2.5no first choice alternatives: BetterUp, CoachHub, Growthspace
Neither was named
5 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Boon Health, Torch alternatives: Avoma, Coachello, Gong, Growthspace, Risely, Sounding Board
Gemini 3.5 FlashGrowthspace, Jiminny alternatives: Avoma, Boon Health, Cloverleaf
Mistral SmallGrowthspace alternatives: Coachello, Motivosity
GPT-6 Luna15Five alternatives: BetterUp, Gong, Mindtickle, Torch
Muse Glimmer 30BTorch alternatives: Boon Health, Exec, Growthspace
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
Mid-marketThe figures above
The order flips: Lattice leads at mid-market.
Lattice9%#5 of 13CoachHub4%#8 of 13Enterprise
The order flips: CoachHub leads at enterprise.
CoachHub17%#2 of 12Lattice0%#– of 12What the models said about Lattice
No label in this category carried a quote.
What the models said about CoachHub
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“CoachHub - Employee concerns include: - Low salaries and pay transparency issues - Leadership concerns and "gaslighting" in business reviews” GLM 4.7 FlashX · negative prompt · hard negative
“Enterprise platforms to avoid (for tight budgets): BetterUp, CoachHub, Torch, and EZRA” MiniMax M2.5 · budget prompt · hard negative
“Avoid These (Due to Cost)... Enterprise-focused with volume pricing and high minimums.” DeepSeek V4 Flash · budget prompt · hard negative
“I would recommend CoachHub as the strongest default choice for a digital coaching marketplace” Perplexity Sonar · paraphrase prompt · first choice
“Large organization (1000+ employees) → BetterUp or CoachHub” Kimi K2 · comparative prompt · first choice
“CoachHub is the conventional mid-market choice” Muse Glimmer 30B · paraphrase prompt · first choice
Also compared
Growthspace vs LatticeGrowthspace vs CoachHubExec vs LatticeExec vs CoachHubTorch vs LatticeTorch vs CoachHub15Five vs Lattice15Five vs CoachHubLattice vs Boon HealthLattice vs Simply.CoachBoon Health vs CoachHubSimply.Coach vs CoachHubAll twenty-eight head-to-head pages and the full coaching platforms 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.