BoardPro vs Easy Board
Two of fourteen models named BoardPro first on the direct prompt; zero named Easy Board. BoardPro was named by fourteen of the fourteen models and Easy Board by nine and BoardPro carries 46 labels and Easy Board 10, so the shares are not directly comparable.
Named in two categories this edition.
Named in two categories this edition.
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 board portals page.
By framing
BoardProFirst choices, of fourteen modelsEasy Board
Across every category in the November 2026 Edition, BoardPro and Easy Board were named in the same answer forty-three times, of the 202 answers naming BoardPro and the 49 naming Easy Board. In those answers Easy Board took the first choice four times and BoardPro twenty-seven.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | | | |||
| Gemini 3.5 Flash | | | | |||
| Perplexity Sonar | | | ||||
| Grok 4.20 | | | | | | |
| 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 | | | |
BoardPro Easy Board first choice named as an alternative argued againstblank: not namedEach cell is one answer, BoardPro on the left and Easy Board on the right.The direct prompt
BoardPro first, Easy Board not the choice
2 of 14 modelsEasy Board was named in the answer but not as the choice, or not at all.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.Neither was named
7 of 14 modelsThe answer made no first choice from these two in this category.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
BoardPro57%#1 of 9Easy Board2%#5 of 9BoardPro20%#2 of 12Easy Board6%#5 of 12BoardPro4%#5 of 9Easy Board—not namedWhat the models said about BoardPro
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“BoardPro - 30% negative rate (labeled "criticized challenger") - This product has the highest negative rating among the reviewed options” GLM 4.7 FlashX · negative prompt · hard negative
“If you need seamless Outlook synchronization and strict MFA enforcement, scrutinize BoardPro.” Qwen 3.7 Flash · negative prompt · soft negative
“For most mid-sized B2B companies, BoardPro is a strong choice due to its balance of affordability, ease of use, and comprehensive features” Mistral Small · paraphrase prompt · first choice
“I recommend starting with a demo of Decisions and BoardPro, as they represent the sweet spot for most mid-sized B2B companies” Qwen 3.7 Flash · paraphrase prompt · first choice
“BoardPro if you want the best value with transparent pricing and a solution designed specifically for growing organizations” Kimi K2 · direct prompt · first choice
What the models said about Easy Board
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“For the most budget-conscious option, Easy Board's Mini plan at $49/month with free first users appears to offer the best initial value.” MiniMax M2.5 · budget prompt · first choice
“If you have a small board (under 10 members), Easy Board at $49/month offers the best value.” Kimi K2 · budget prompt · first choice
“Easy Board is probably the best place to start for a small or nonprofit board” GPT-5.4 mini · budget prompt · first choice
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.