Sprig and Minds answer different questions. Sprig is an enterprise survey platform that collects answers from real people: in your web or mobile product, by email, or from an external panel, with AI agents that help design, field and synthesize each study. Minds is the end-to-end platform for commercial synthetic research: you build simulated Audiences and test concepts, copy, prototypes and pricing on them before anything reaches a customer. Pick Sprig when you need evidence from live respondents; pick Minds when you need to narrow options quickly and privately first.
Facts about Sprig on this page come from sprig.com and its pricing page, checked on October 4, 2026.
| Dimension | Minds | Sprig | Verdict |
|---|
| Primary use case | Pre-launch research on simulated Audiences: concepts, messaging, prototypes, pricing | Surveys and studies with real respondents in-product, by email or through a panel | Minds before launch; Sprig when you need live respondents |
| Who answers | AI personas grounded in public sources and the research inputs you add | Your users, your email lists or panel participants (Sprig cites 300K+ verified participants) | Sprig measures real behaviour; Minds estimates it |
| Methods | Interviews, open-ended, single choice, multiselect, rating and custom scales, MaxDiff, NPS, Van Westendorp, Kano, TURF | Adaptive surveys, concept and prototype tests, experience measurement and journey research | Both cover qual and quant; Minds runs them without fieldwork |
| Accuracy evidence | Per-Audience validation score out of 100 against real published surveys or your own survey files | Answers come from real respondents, subject to sampling and response bias | Use Minds to narrow, Sprig to confirm |
| Speed | Results as soon as the simulation finishes; no recruiting | Depends on product traffic, email response or panel fielding | Minds is faster for early iterations |
| Pricing | Pay as you go and Pro self-serve plans on the pricing page | Not published; scales with response volume, capabilities and deployment environments | Minds is easier to trial; Sprig is a sales-led purchase |
| Privacy | No real respondents; DPA under GDPR Article 28 and a public subprocessor list | Lists GDPR, CCPA, Data Privacy Framework, HIPAA and SOC 2 Type II | Review both with your privacy team |
| Best for | Marketing, insights, product and UX teams testing ideas before launch | Product, UX and research teams running continuous research with real users | Many teams use both |
Minds starts with an Audience: a group of AI personas you create from a description, uploaded customer research, links or files. Minds PRISM, the reasoning and source-modeling engine beneath every Mind, combines public-source context with the research inputs you permit, and is designed to maximize grounding and consistency within directional synthetic research.
You then run a Study on that Audience. A Study can mix qualitative and quantitative work in one connected workflow: open-ended interview questions, single choice, multiselect, standard and custom scales, and executable methods such as MaxDiff, NPS, Van Westendorp and Kano with deterministic calculations. You can test stimuli directly, including Figma prototypes where enabled, websites and app flows, images, video, copy and concept decks, then compare segments and export the results.
Each Audience can be validated against real published surveys or your own survey files. The validation score, out of 100 per survey, tells you where the simulated answers track real data and where they do not.
Sprig describes itself as an enterprise survey platform powered by AI agents. A Design Agent turns your goal or uploaded questions into a study with branching and skip logic and checks it for leading questions. A Field Agent runs adaptive studies, and Analyze and Synthesize agents produce statistical analysis and research reports.
Studies can be deployed in web apps and websites, in iOS and Android apps, by email to external audiences, or to a recruited panel; Sprig cites more than 300,000 verified panel participants. Sprig groups its use cases into experience measurement, strategic and foundational discovery, journey and behavioural research, market and consumer insights, and concept and prototype testing.
Sprig does not publish prices. According to its pricing page, cost scales with total response volume across studies, the capabilities you activate and the deployment environments you use, with enterprise onboarding and support included.
Pre-launch privacy and brand risk
With Sprig, any concept you test is shown to real people: your users in the product, your email list or a panel. That is exactly what you want once a concept is ready for real feedback, but it means unreleased claims, prices or designs leave the building.
With Minds, the first rounds happen on simulated Audiences. You can test bold positioning, alternative price points or unfinished prototypes without a customer seeing them, discard weak options, and take only the strongest one or two into live research.
Speed of iteration
A Sprig in-product survey can start collecting answers quickly, but the time to a usable sample depends on your traffic, your response rates or panel fielding. Niche B2B segments and low-traffic products take longer.
A Minds Study returns answers as soon as the simulation finishes, so you can change a headline, rerun it on the same Audience and compare versions in one session. That makes Minds useful inside a sprint, before a design is built.
Accuracy and evidence
Sprig's answers come from real respondents, which is the strongest evidence of what your users think, with the usual caveats of sampling, survey fatigue and response bias.
Minds answers are directional estimates. The way to judge them is validation: compare an Audience against real published surveys or your own survey files and read the score per survey. Where the score is high, the simulation is a reasonable guide for early decisions; where it is low, or where the decision is high-stakes, run the study with real people.
Data privacy and GDPR
Sprig lists GDPR, CCPA, the EU-US Data Privacy Framework, HIPAA and SOC 2 Type II on its pricing page and offers access controls for multiple teams.
Minds does not survey real people, so a simulated answer is not personal data about a respondent. Files, customer data and account data you upload can still be personal data. Minds offers a data processing agreement under GDPR Article 28 and publishes its subprocessors. In both cases, compliance depends on the data you use and your legal basis, so involve your privacy team.
Scale and cost
With Sprig, sample size is limited by your user base, response rates and panel budget, and cost scales with response volume. With Minds, you can rerun a Study on several Audiences without recruiting costs; the number of synthetic responses depends on your plan, listed on the pricing page.
Choose Minds when you need to test concepts, packaging, claims, landing pages or prototypes before launch, when the segment is hard or slow to recruit, or when you want to try many variants and keep only the best for live research. It suits marketing, insights, product and UX teams that want qualitative and quantitative answers in one workflow, and teams that want to start self-serve with Pay as you go rather than a sales process.
Choose Sprig when you need answers from real users: why people drop off in a live checkout, how a newly shipped feature is received, how satisfaction moves over time, or when a decision needs evidence from actual respondents. It suits product, UX and research organizations that run continuous research across web, mobile, email and panels and want agents to help design and analyse it.
Sprig and Minds are complementary. Sprig is the stronger choice for measuring real users once a product or concept is in front of them. Minds is the faster, private choice for the earlier step: building Audiences, testing many options and narrowing them before you spend survey budget or expose unreleased ideas. A practical workflow is to explore and shortlist in Minds, check the Audience's validation score, then confirm the winner with real respondents.
Ready to test your next concept on a simulated Audience? Create your workspace on Minds, or read what synthetic respondents are first.
