Find the right tools for your research

UXtweak is a hive full of creative minds ready to change the UX world for the better. We help our clients at every point of their research, from the simple card sorts all the way to the complex usability test. When you choose us, you choose an expert partner to guide you through the UX world.

Ballpark is the fastest way to capture high-quality feedback on product questions, marketing copy, designs and Figma prototypes using surveys, videos and tasks.

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.

About Survicate Survicate is a customer feedback platform and online survey software for product, UX, market research, and CX teams.Build questionnaires from ready-made survey templates, run website surveys, in-app microsurveys, email surveys, mobile surveys, and link surveys, and analyze every response with AI in one feedback analysis hub. Native integrations with HubSpot, Amplitude, Slack, and other tools route insights straight into your workflows, so teams don't just collect feedback, they act on it.

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.

Typeform's Research Flow helps teams design studies, recruit participants, run AI-moderated conversations, and turn responses into decision-ready insights in hours instead of weeks.

Gorilla is the all-in-one platform for Surveys, Reaction Time Tasks, Games, Shops and Multiplayer studies. So you collect high-quality data from large, diverse samples. Fast. Perfect for Experimental Psychologists and Behavioural Scientists.

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.

m-Path empowers researchers to capture human experience as it unfolds in real time. Whether you're conducting ecological momentary assessment (EMA), experience sampling (ESM), daily diary research, or other forms of intensive longitudinal data collection, m-Path provides everything you need in one flexible platform. Easily integrate passive mobile and wearable sensing, context-aware triggering, or deliver ecological momentary interventions (EMIs) and just-in-time adaptive interventions (JITAIs), all without writing a single line of code. Our intuitive study builder dashboard lets you mix and match powerful features to design the perfect protocol for your research question. Collect data seamlessly across iOS and Android devices and gain deeper insight into people’s real-world behavior and experiences.

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.

Gain actionable insights with the Conjointly all-in-one survey research platform, access to millions of real human respondents, support from experienced researchers, and easy-to-use advanced tools such as conjoint analysis, text analytics, video surveys, and concept testing.

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