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In the field guide
getconvo.ai
Convo is an AI research platform designed to scale UX/CX research and analysis while keeping the research team in control of context and insights. It supports various research workflows including concept testing, product pilot tests, usability testing, diary studies, and customer discovery with AI-moderated interviews and adaptive branching.
Know where your site stands. Website analytics, search rankings, AI visibility, and site health in one dashboard.
Price clarity grade B, 75 out of 100 clarityFree planSEO & visibility
The product, beyond the pitch
Automatically researched · Not editorially reviewed · Sources checked Nov 1, 2026
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THE COST FOR YOUR TEAM
Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.
Known monthly subtotal
$0/month
1 of 1 tools could not be priced with these inputs, so this is not the full cost.
| Tool / plan | Monthly | Per year | What this assumes |
|---|---|---|---|
| No pricing recorded yet. Check the official site, or ask the owner to add it. | |||
Based on the sources below. Editorial review does not imply hands-on product testing.
Candidates based on category and primary feature. Check feature and pricing differences before switching.
UXtweak is a comprehensive UX research platform that supports moderated and unmoderated studies across the product lifecycle, including recruitment, analysis, and reporting. It offers a wide range of tools such as card sorting, tree testing, surveys, session recording, and prototype testing, with a focus on data security and researcher support.
Articos is an AI user research platform that automates structured interviews with synthetic personas and delivers a full research report in under 30 minutes. It achieves 86% accuracy compared to human research across 46 studies and is designed to reduce cost and time barriers of traditional user research.
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Updated: best for, features, sources, summary, use cases, walkthrough
Before: ["UX/CX research teams needing to scale qualitative research with AI assistance while retaining human insight."]
After: ["UX/CX research teams wanting to run more research faster with AI assistance while retaining human insight"]
Before: ["Concept Testing with Figma prototype embedding and messaging/design testing.","Product Pilot Test to capture participant reactions in their natural environment.","Usability Testing with screen and camera recording to analyze participant behavior.","Diary Studies for multi-day or week-long ethnographic data collection including interviews, photos, and videos.","Reporting & Reels to generate stakeholder-ready insights with downloadable PNG, JPEG, and PDF exports and automatically generated captions and visuals."]
After: ["AI-moderated interviews that feel human and conversational","Multilingual interview support in over 40 languages","Reporting tools that generate stakeholder-ready visual insights and reels"]
Before: [{"url":"https://getconvo.ai/","label":"Convo — The AI research platform that amplifies your team"}]
After: [{"url":"https://getconvo.ai/","label":"Convo — The AI research platform that amplifies your team"},{"url":"https://getconvo.ai/pilot-test","label":"Product Pilot Testing with real participants | Convo"}]
Before: "Convo is an AI research platform that helps teams scale UX/CX research and analysis quickly while maintaining human context and insight. It supports various research workflows from design to shareable insights, enabling faster and smarter research processes."
After: "Convo is an AI research platform designed to scale UX/CX research and analysis while keeping the research team in control of context and insights. It supports various research workflows including concept testing, product pilot tests, usability testing, diary studies, and customer discovery with AI-moderated interviews and adaptive branching."
Before: ["Customer discovery to target ideal customer profiles at scale and understand pain points before shipping code."]
After: ["Concept testing with prototypes, messaging, and design variations","Product pilot testing by sending prototypes to participants to capture real reactions in their natural environment"]
Before: ["Project setup with collaborative discussion guides to align the team.","Launch and analyze combining human and AI moderation for scalable qualitative research.","Report and share with instant analysis and a research assistant for deeper insights."]
After: ["Design research goals, launch AI-moderated interviews, analyze data with AI-generated themes and sentiment, then share insights with stakeholders","Set up product pilot tests by sharing prototypes or beta products, let participants use them remotely, capture video and facial expression data, then analyze themes and sentiment to find improvements"]
Updated: best for, features, use cases, walkthrough
Before: ["UX/CX research teams looking to scale qualitative research with AI assistance while retaining human insight and context."]
After: ["UX/CX research teams needing to scale qualitative research with AI assistance while retaining human insight."]
Before: ["Adaptive interviews with branching logic that respond to participant answers to reveal follow-up questions or jump between sections.","Instant analysis and AI-powered research assistant to quickly gauge progress and dive deeper into insights."]
After: ["Concept Testing with Figma prototype embedding and messaging/design testing.","Product Pilot Test to capture participant reactions in their natural environment.","Usability Testing with screen and camera recording to analyze participant behavior.","Diary Studies for multi-day or week-long ethnographic data collection including interviews, photos, and videos.","Reporting & Reels to generate stakeholder-ready insights with downloadable PNG, JPEG, and PDF exports and automatically generated captions and visuals."]
Before: ["Conduct various types of UX/CX research including concept testing, product pilot tests, usability testing, diary studies, and customer discovery."]
After: ["Customer discovery to target ideal customer profiles at scale and understand pain points before shipping code."]
Before: ["1. Project Setup: Collaborative discussion guides to align the team. 2. Launch & Analyse: Combine human and AI moderation for scalable qualitative research. 3. Report & Share: Instant analysis and AI research assistant to generate insights and share findings."]
After: ["Project setup with collaborative discussion guides to align the team.","Launch and analyze combining human and AI moderation for scalable qualitative research.","Report and share with instant analysis and a research assistant for deeper insights."]
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