Find the right tools for your research

Prolific integrates with all the latest, and greatest, apps and tools to help streamline and scale your research. Explore them all below.
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Qualtrics XM

Qualtrics XM

Qualtrics is a single system of record for all experience data, also called X-data™, allowing organizations to manage the four core experiences of business—customer, product, employee and brand experiences—on one platform. Over 8,500 enterprises worldwide, including more than 75 percent of the Fortune 100 and 99 of the top 100 U.S. business schools, rely on Qualtrics.
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Voiceform

Voiceform

Voiceform makes it incredibly easy to gather rich multilingual voice data for your research studies. Used by thousands of researchers at educational institutions, non-profits, small business, and enterprise. Voiceform makes it possible to collect qualitative insights and the depth of an interview with the scale of a survey.
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Motives

Motives

Motives is an AI-powered qualitative research platform that automates interviews, analysis, and reporting for marketing, creative, and insights teams. It delivers deep consumer insights in days, not weeks, combining qualitative depth with AI-driven speed and scalability. Built for consumer-focused brands, Motives helps teams validate ideas, test creative, and understand audiences quickly and cost-effectively.
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Dialogue AI

Dialogue AI

Dialogue is an AI-native customer research platform that helps companies truly understand their customers. We make it possible to source participants, run hundreds or thousands of live, adaptive interviews at scale, and synthesize insights in real time. Our mission is simple: make listening effortless—so whether you’re a researcher, marketer, designer, or engineer, you can make smarter decisions faster. Real insights. Real people. Research for everyone.
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Perceptional

Perceptional

Perceptional is an AI-moderated user interview platform that allows product teams to deploy an engaging, context-aware chatbot to conduct qualitative user interviews. Perceptional bridges the gap between in-depth (but time-consuming) user interviews and scalable (but shallow) online surveys, allowing teams to more efficiently gather and process qualitative data. As responses are collected, Perceptional uses AI to synthesize them into key findings, summaries, themes, and much more. Our customers have experienced 10x faster product research projects compared to 1-on-1 interviews and 4x more insights compared to traditional online surveys. And most importantly, Perceptional is designed to supplement, not replace, user interviews.
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WholeSum

WholeSum

WholeSum is a technology company focused on transforming qualitative and unstructured data into structured, statistically robust intelligence for organisations operating in complex, high-trust environments. The platform is designed to address a longstanding gap in analytics: while quantitative data is easily aggregated and modelled, qualitative evidence (such as free-text notes, interviews, and feedback) remains under-utilised - despite often containing the earliest and most meaningful signals. WholeSum’s approach combines statistical inference, comparative judgement, and modern language models within a proprietary analytical framework to ensure outputs are uncertainty-aware, auditable, and reproducible. WholeSum is built to operate as infrastructure within existing systems or for use via our self-serve app, giving organisations the same confidence in qualitative evidence that they already have in quantitative data. Our mission is to enable richer insight, faster learning, and better decisions over time. WholeSum is designed to integrate with enterprise governance and compliance requirements.
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Mabyduck

Mabyduck

Mabyduck makes it easy to create and run studies that evaluate the quality of AI-generated content, including audio, images, video, and interactive experiences. The platform handles data hosting, rater pre-screening, study monitoring, and real-time results visualization—so you can focus on improving your AI models.
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Whyser

Whyser

Whyser is a research platform that conducts AI-moderated user interviews on your behalf—so you can uncover qualitative insights at scale in hours instead of weeks. Make qualitative research happen when it otherwise wouldn’t. Whyser can also complement your quantitative research by unlocking the qualitative “why” behind participant behavior. Together, they create a powerful mixed-methods research workflow.
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Voicepanel

Voicepanel

Voicepanel is a conversational survey platform for fast qualitative research. Leveraging cutting-edge AI, Voicepanel can recruit & screen respondents, conduct dynamic conversations, synthesize transcripts, and build personalized reports, all within just minutes. The platform offers text, voice, video, and phone formats and a range of stimuli options including websites, images, videos, and Figma prototypes. Businesses use Voicepanel for customer feedback, creative testing, website feedback, consumer insights research, and other exploratory market research use cases. The platform offers support for 29 different languages, so customers can conduct research across multiple international markets at once. Voicepanel is based in San Francisco, California. The company is backed by Y Combinator and founders of customer-centric companies including Instacart, Dropbox, Gusto, Airtable, Front, and Optimizely.
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Versive

Versive

Versive is an AI customer research platform that helps teams conduct and analyze research faster. Companies like Udacity and IDEO use our conversational surveys, usability tests, and AI synthesis to get faster, richer insights.
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Outset.ai

Outset.ai

Outset harnesses AI to conduct up to 1000 simultaneous, multilingual conversations, simulating a researcher to elicit rich insights. The AI moderator is tailored to probe deeply and respond to participants' feedback. Following the interviews, Outset's AI engine synthesizes the data, summarizing insights, extracting verbatims, identifying themes, and quantifying findings, making research more efficient and comprehensive
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Dallinger

Dallinger

Dallinger allows crowd sourced experiments to be abstracted into single function calls that can be inserted into higher-order algorithms. It fully automates the process of recruiting participants, obtaining informed consent, arranging participants into a network, running the experiment, coordinating communication, recording and managing the data, and paying the participants.