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ResearchRocket.app
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Brainactive AI
Research Rocket is an all-in-one product and UX research platform that brings your entire research workflow into a single place. Instead of paying for separate tools for surveys, analysis, user testing, and reporting, you gather the evidence, make sense of it, and reach a clear decision, all in one workspace.
What's inside: - Survey builder and quant workflows - Real statistical analysis: t-tests, chi-square, correlation, ANOVA - Qualitative analysis and clustering - Usability and user (video) testing - Neuromarketing tools, to understand why people decide, not just what they did - Research repository and experience mapping - AI-assisted synthesis that turns your data into a clear recommendation
It's built for product managers, founders, and UX researchers who want to reduce product risk and make confident, evidence-based decisions without juggling a stack of disconnected tools.
Available on subscription plans and a one-time Lifetime Access license.
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ResearchRocket.app's answer:
To match Research Rocket you'd pay for UserTesting, Optimal, Marvin, a stats tool, and a slide deck, five subscriptions that never talk to each other. Research Rocket replaces all of them with one connected platform, and adds what they lack: real inferential statistics (t-tests, chi-square, ANOVA) and built-in neuromarketing that shows why people decide, not just what they did. Every study ends with a clear recommendation and decision and risk analysis, so research leads to action. And you can own it with one-time lifetime access instead of paying monthly forever.
ResearchRocket.app's answer:
Most research tools only do one piece. UserTesting handles usability, Optimal handles card sorts and tree tests, Marvin stores interviews, and none of them run real statistics or tell you what to actually do next.
Research Rocket is the only platform that brings the entire research workflow into one place, quantitative and qualitative, surveys, usability studies, card sorts, tree tests, moderated interviews, and participant recruitment, and adds two things no other research tool has: real inferential statistics (t-tests, chi-square, ANOVA) and built-in neuromarketing that reveals why people decide, not just what they did.
And it doesn't stop at collecting data. Every study ends with AI-assisted synthesis, a clear recommendation, and decision and risk analysis, so your research actually drives the decision instead of sitting in a slide deck.
One tool, from evidence to decision, with a one-time lifetime option instead of another monthly subscription.
ResearchRocket.app's answer:
Research Rocket started with a frustration every researcher knows.
I loved the work, finding the signal, understanding why people do what they do. But I was doing that work across a dozen disconnected tools. A survey platform here, a repository there, analysis in a spreadsheet, insights in a slide deck. Each one good on its own, and none of them talking to each other. So an insight that should have led straight to a decision would get copied, pasted, reformatted, and slowly lose its power. Too often, great research ended up sitting in a deck while the decision got made on a gut feeling anyway.
I kept thinking the same thing. The work is already great. It just needs to connect.
So I built Research Rocket: one place that brings the whole journey together. Surveys, real statistics, usability testing, qualitative analysis, neuromarketing, and a research repository, all connected, and every study ends with a clear, evidence-backed decision.
It's the tool I always wished I had, built for the people who do the work, so their insights finally lead to better decisions instead of getting lost between tools.
ResearchRocket.app's answer:
Research Rocket is built for the people who make product decisions and need evidence to back them.
That includes: - UX and product researchers who want to run studies and synthesize insights without juggling multiple tools - Product managers and product owners deciding what to build or launch next - Founders and startup teams trying to reduce the risk of expensive product bets - Innovation and growth teams evaluating concepts, features, and roadmap priorities
It fits solo researchers running their first study all the way up to product teams that need a shared repository and a clear, evidence-backed decision at the end.
ResearchRocket.app's answer:
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