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Index › Learning and development › Coaching platforms › Exec vs Simply.Coach
Coaching platforms · October 2026 Edition

Exec vs Simply.Coach

Zero of fourteen models named Exec first on the direct prompt; zero named Simply.Coach. Exec was named by eight of the fourteen models and Simply.Coach by seven and Exec carries 15 labels and Simply.Coach 10, so the shares are not directly comparable.

Exec

accepted challenger

Named in one category this edition.

Simply.Coach

accepted challenger

Named in one category this edition.

First-choice share16%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 13; printed, not drawn.
Labels1510A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Exec 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 Exec · Growthspace vs Simply.Coach · Exec vs Torch

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.
ExecFirst choices, of fourteen modelsSimply.Coach
Direct00
Paraphrase50
Comparative01
Budget-constrained43
Scale-constrained00
Negative00
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 Exec and Simply.Coach stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Exec Simply.Coach first choice named as an alternative argued againstblank: not namedEach cell is one answer, Exec on the left and Simply.Coach on the right.

The direct prompt

The plain question, one answer per model, grouped by where Exec and Simply.Coach stood in it.

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Muse Glimmer 30BTorch alternatives: Boon Health, Exec, Growthspace

Neither was named

13 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
GPT-5.4 miniLattice alternatives: CoachHub, Culture Amp, Torch, Valence
Gemini 3.5 FlashGrowthspace, Jiminny alternatives: Avoma, Boon Health, Cloverleaf
Perplexity SonarTorch alternatives: Betterworks, Cloverleaf, Lattice
Grok 4.1 FastLattice alternatives: 15Five, Betterworks, CoachHub, Jiminny, Leapsome, Showpad Coach
Mistral SmallGrowthspace alternatives: Coachello, Motivosity
DeepSeek V4 FlashGrowthspace, Lattice alternatives: Betterworks
Llama 4 MaverickTorch alternatives: Growthspace, Lattice, Motivosity
Qwen 3.7 FlashLattice alternatives: Growthspace, Motivosity
Kimi K215Five, Lattice alternatives: Betterworks, CoachHub, Growthspace
GLM 4.7 FlashXBetterUp alternatives: CoachHub, Growthspace
MiniMax M2.5no first choice alternatives: BetterUp, CoachHub, Growthspace
GPT-6 Luna15Five alternatives: BetterUp, Gong, Mindtickle, Torch

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
Simply.Coach leads by two points.
Simply.Coach4%#4 of 10
Exec2%#– of 10
The full small business standing →
Mid-marketThe figures above
The order flips: Exec leads at mid-market.
Exec16%#2 of 13
Simply.Coach5%#7 of 13
The full mid-market standing →
Enterprise
Exec leads by six points.
Exec6%#5 of 12
Simply.Coach0%#– of 12
The full enterprise standing →

What the models said about Exec

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

“Together (starting at $6/user/month) and Exec (starting at $20/user/month) are the most budget-friendly options with strong coaching capabilities” Mistral Small · budget prompt · first choice
“I'd recommend starting with Exec if you want to see immediate results with predictable costs, or Growthspace” GLM 4.7 FlashX · paraphrase prompt · first choice
“two primary platforms depending on your specific organizational goals: Growthspace and Exec.com” Qwen 3.7 Flash · paraphrase prompt · first choice

What the models said about Simply.Coach

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

“Simply.Coach looks like the strongest low-cost option I found: its pricing starts at $9/month” GPT-5.4 mini · budget prompt · first choice
“It is arguably the most comprehensive tool dedicated *specifically* to coaching.” Qwen 3.7 Flash · comparative prompt · first choice
“Simply.Coach $9/mo Starter or Exec’s free plan is the lowest barrier to start” Muse Glimmer 30B · budget prompt · first choice
Also compared
Growthspace vs ExecGrowthspace vs Simply.CoachExec vs TorchExec vs 15FiveExec vs LatticeExec vs Boon HealthExec vs CoachHubTorch vs Simply.Coach15Five vs Simply.CoachLattice vs Simply.CoachBoon Health vs Simply.CoachSimply.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.