Wavefield Research
AI-built surveys with research-grade analysis: weighting, significance testing, banner books, SPSS. Free to build — pay per project when you launch.
AI-built surveys with research-grade analysis: weighting, significance testing, banner books, SPSS. Free to build — pay per project when you launch.
This page is designed to help you find out whether Wavefield Research is good and if it is the right choice for you.
Wavefield Research is an AI survey platform built around a simple promise: research that used to take a team now takes a brief. Describe the decision you need to make, and the AI agent drafts the complete instrument, including question wording, response options, skip logic, screening questions, and quota cells. You review and edit everything before fielding.
Field studies to your own contact lists by email link or text message, or to panel respondents starting at $3.50 per complete, with soft-launch checks and automatic quality flags for speeders, straight-liners, and duplicates. Analysis is where Wavefield stands apart from form builders: raking weights to population targets, crosstabs with significance letters at selectable confidence levels, effective base sizes, topline reports, AI-assisted open-end coding, and SPSS and CSV exports.
Recent work includes district-level political polling fielded and delivered inside a week. Pricing is per project, $99 to $299 depending on study complexity, with no subscription. Wavefield Research Inc. is based in Toronto, Canada.
Listed in
Niche, specialized positioning
I could not browse wavefieldresearch.com, so this is an inference from the name. A research firm with a narrow focus can offer deeper expertise and more tailored work than a generalist provider. Please check the site's service descriptions to confirm what they specialize in.
Potential for personalized service
Smaller or boutique research organizations often give clients more direct access to analysts and more flexible engagement terms than large firms. I have not verified whether this applies to Wavefield Research, so check client testimonials or ask the company directly.
Most survey tools give you a blank page. Wavefield starts from your research goal: you describe the decision you need to make in plain language, and an AI agent drafts the entire questionnaire, including skip logic, screening questions, and quota cells. The other difference is the analysis. Results come back weighted to population targets, with significance-tested crosstabs and data quality flags, which form builders simply do not do.
Because it covers the middle ground nobody else serves well. Form builders like Google Forms are free but produce unweighted, untested numbers. Enterprise platforms like Qualtrics do real research but cost thousands per year and take weeks to learn. Wavefield gives you research-grade output, from quotas to weighting to SPSS exports, at $99 to $299 per project with no subscription, and the AI does the setup work that normally needs a trained researcher.
Teams that need defensible numbers without an agency budget: political campaigns polling their district, product and marketing teams testing concepts or tracking their brand, and founders or consultants running customer research. If someone has ever stared at a survey tool wondering whether their results would survive scrutiny, they are who we built this for.
Wavefield started in 2026 in Toronto from a simple observation: the math behind good survey research is decades old and well understood, but access to it is gated behind enterprise pricing and specialist skills. AI removed the setup barrier. So we built a platform where describing a study in a sentence produces a properly structured questionnaire, and where the analysis layer applies the same rigor a research agency would, automatically. Our early projects include district-level political polling fielded and delivered within a week.
The survey-building agent runs on Anthropic's Claude models. The platform itself is built on Next.js and React with a PostgreSQL database, and the analysis engine implements standard research statistics: raking weights, significance testing on effective base sizes, and SPSS-compatible exports.
Our client studies are confidential, so we do not publish customer names. Typical customers so far: - US political campaigns running district-level polls - Product and marketing teams at small and mid-size companies - Independent researchers and consultants
We have collected here some useful links to help you find out if Wavefield Research is good.
Check the traffic stats of Wavefield Research on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Wavefield Research on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Wavefield Research's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Wavefield Research on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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Is Wavefield Research good? This is an informative page that will help you find out. Moreover, you can review and discuss Wavefield Research here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
