Customer feedback and surveys · September 2026 Edition
Qualtrics vs AskNicely
One of twelve models named Qualtrics first on the direct prompt; zero named AskNicely. Qualtrics was named by twelve of the twelve models and AskNicely by eleven and Qualtrics carries 50 labels and AskNicely 20, so the shares are not directly comparable.
Provo, United States, founded 2002. Named in two categories this edition.
Named in one category this edition.
First-choice share5%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate44%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 18; printed, not drawn.
Labels5020A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Qualtrics reading right to left. Rank and label count are printed, not drawn.Survicate was named alongside these two in seven of the twelve direct answers. Google Forms vs Qualtrics · Google Forms vs AskNicely · CustomerGauge vs Qualtrics
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 customer feedback and surveys page.
By framing
How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
QualtricsFirst choices, of twelve modelsAskNicely
Direct106 against Qualtrics
Paraphrase125 against Qualtrics
Comparative70
Budget-constrained002 against Qualtrics · 1 against AskNicely
Scale-constrained102 against Qualtrics
Negative007 against Qualtrics
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.
Every model, every framing
The seventy-two answers behind the chart above, one cell each: where Qualtrics and AskNicely 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 | | | | |
Qualtrics AskNicely first choice named as an alternative argued againstblank: not namedEach cell is one answer, Qualtrics on the left and AskNicely on the right.The direct prompt
The plain question, one answer per model, grouped by where Qualtrics and AskNicely stood in it.
Qualtrics first, AskNicely not the choice
1 of 12 modelsAskNicely was named in the answer but not as the choice, or not at all.GPT-5.4 miniQualtrics alternatives: Medallia
Neither was the first choice, one was named
4 of 12 modelsThe answer put something else first and named one of the two as an alternative.Grok 4.1 FastCustomerGauge alternatives: AskNicely, Retently, Survicate
Llama 4 MaverickQuestionPro, SurveySparrow, Survicate alternatives: Medallia, Perspective AI, Qualtrics
Kimi K2Survicate alternatives: AskNicely, Nicereply, Retently, SurveySparrow
MiniMax M2.5SurveyMonkey alternatives: Medallia, Pendo, Qualtrics, Survicate
Neither was named
7 of 12 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Retently alternatives: Medallia Concierge, Nicereply, Simplesat, SurveyMonkey, SurveySparrow, Zonka Feedback
Gemini 3.5 FlashCustomerGauge alternatives: Canny, Retently, Survicate, UserVoice
Perplexity SonarCustomerGauge, Enterpret alternatives: Lumoa, Perspective AI
Mistral SmallHelply alternatives: CustomerGauge, SurveySparrow
DeepSeek V4 FlashRetently alternatives: CustomerGauge, QuestionPro, SurveySparrow, Survicate
Qwen 3.7 FlashCustomerGauge alternatives: Perspective AI, SurveySparrow, Survicate
GLM 4.7 FlashXCanny alternatives: Productboard, UserVoice
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
Level: the same share of first choices.
Qualtrics0%#15 of 15AskNicely0%#12 of 15Mid-marketThe figures above
Enterprise
Qualtrics leads by thirty-two points.
Qualtrics34%#1 of 10AskNicely2%#– of 10What the models said about Qualtrics
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Major complaints: Extremely slow deployment (weeks or months), complex admin burden... Poor Trustpilot rating: ~1.2/5 with 67% one-star reviews” MiniMax M2.5 · negative prompt · hard negative
“Avoid for low budgets: ... Qualtrics, Medallia, and AskNicely \u2014 all skew enterprise-priced.” DeepSeek V4 Flash · budget prompt · hard negative
“Avoid unless you are a Fortune 500 or academic institution with a dedicated CX team and budget.” GLM 4.7 FlashX · negative prompt · hard negative
“The best NPS and customer experience survey tools for mid-sized B2B companies include CustomerGauge, Qualtrics XM, Medallia, SAS Customer Experience, and GetFeedback.” Llama 4 Maverick · paraphrase prompt · first choice
“Choose Qualtrics or Medallia if you need enterprise-grade CX management, advanced analytics, and large-scale governance.” Perplexity Sonar · comparative prompt · first choice
“omnichannel feedback across the full customer journey warrants enterprise platforms like Qualtrics or Medallia” MiniMax M2.5 · comparative prompt · first choice
What the models said about AskNicely
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Avoid for low budgets: ... AskNicely \u2014 all skew enterprise-priced.” DeepSeek V4 Flash · budget prompt · hard negative
“Best balance for most mid-sized B2B teams: AskNicely” GPT-5.4 mini · paraphrase prompt · first choice
“I'd suggest starting with AskNicely or Delighted” MiniMax M2.5 · paraphrase prompt · first choice
“if your company is more service-led and you care most about frontline coaching” Perplexity Sonar · paraphrase prompt · alternative
Also compared
Google Forms vs QualtricsGoogle Forms vs AskNicelyCustomerGauge vs QualtricsCustomerGauge vs AskNicelyRetently vs QualtricsRetently vs AskNicelySurvicate vs QualtricsSurvicate vs AskNicelySurveySparrow vs QualtricsSurveySparrow vs AskNicelyQualtrics vs SurveyMonkeyAskNicely vs SurveyMonkeyAll twenty-eight head-to-head pages and the full 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.