Conveo vs User Intuition: Which AI Research Platform Should You Choose?

Research depth represents a fundamental difference in platform philosophy. User Intuition conducts 30+ minute conversations that include 5-7 levels of laddering—a proven technique for uncovering underlying motivations, identity markers, and values that predict actual behavior. This methodology is rooted in enterprise-grade's approach, refined through work with Fortune 500 companies. The extended time allows researchers to move beyond stated preferences into the psychological drivers of decision-making.

Critically, User Intuition uses proprietary ontology-based insight extraction to convert raw conversations into structured, queryable knowledge. These aren't transcripts locked in a file—they're indexed, categorized, and stored in a knowledge system that powers your intelligence hub. This means you can always query the platform to get the voice of your customer in the room for strategic decisions. Over time, as you run more studies, this ontology becomes an appreciating asset: marginal costs decrease, pattern recognition improves, and you build a true knowledge base rather than isolated project reports.

Conveo takes a different approach: AI-moderated interviews designed for efficient dialogue with structured question routing and automated theme extraction. The platform uses conversational AI to conduct interviews across 15-60 minute sessions, adapting questions based on participant responses. This creates a standardized, comparable data collection process across participants. The AI moderation enables rapid processing: sentiment analysis, transcript generation, and theme identification happen in real time or immediately after study close. The academic rigor comes from ESOMAR-informed research design and consistent methodology application.

For organizations attempting to understand customer psychology, brand positioning, complex purchase drivers, and competitive strategy—and wanting those insights to compound in value over time—User Intuition's depth advantage and knowledge persistence are substantial. For teams needing rapid structured data collection from large global panels with academic research rigor and efficient theme extraction, Conveo's AI-moderation and panel infrastructure become more relevant.

Quality in research contexts means different things. For User Intuition, quality means psychological validity combined with strategic utility—do the insights accurately reflect underlying customer motivations and identity, and can they be reused across future research? The 30+ minute conversations with actual customers (or from a highly vetted panel, depending on your recruitment choice), combined with systematic laddering and enterprise-grade analysis, create insights that inform strategy. The ontology-based extraction means these insights become searchable, queryable assets that power future research. Organizations using User Intuition report that insights directly drive positioning, product direction, and go-to-market decisions—and that these insights improve subsequent studies.

For Conveo, quality means structured validity combined with academic rigor. The ESOMAR heritage ensures that research methodology aligns with international research standards. The AI-moderated approach creates consistency: every participant experiences similar question routing, similar dialogue patterns, and standardized recording. This consistency enables reliable aggregate analysis and theme extraction. The 93% participant satisfaction indicates that participants find the AI conversation engaging and worthwhile. The multimodal recording (voice and video) creates rich data, and the rapid theme generation enables quick turnaround insights.

The 98% participant satisfaction on User Intuition versus 93% on Conveo indicates different engagement models: extended exploratory conversation (User Intuition) versus structured AI dialogue (Conveo). Both approaches produce legitimate quality research—they vary in nature.

Organizations should evaluate quality against their specific research questions: Do you need to understand why customers behave as they do, and will you want to reference that understanding again in future decisions? Or do you need reliable, academically rigorous structured data from a large global panel, processed efficiently through AI analysis?

Participant sourcing fundamentally shapes research outcomes. User Intuition gives you choices. You can work from your customer lists, past survey respondents, or company databases—speaking directly with people who have real experience with your product, service, or market. This creates several downstream advantages: insights apply specifically to your customer base, participants understand your context without extensive briefing, and findings directly address your actual user behavior. You gain the voice of your specific customer, not a generic panel respondent.

Alternatively, if you need faster recruitment, broader demographic reach, or comparative benchmarking, User Intuition's highly vetted panel—built with best-in-class fraud detection techniques—is available. This panel is not an afterthought; it's a core capability embedded in the platform. You can even run hybrid studies combining your customers with panel participants in the same research project to triangulate findings. This flexibility is unique in the market.

Conveo operates exclusively through an established 3M+ research panel—pre-recruited, pre-screened, and globally distributed. Panel participants provide certain advantages: instant availability without recruitment delays, demographic diversity spanning industries and regions, and comparative benchmarking across studies. The scale is significant: 3M+ participants means researchers can find target audiences rapidly and conduct studies at high volume. The panel participants tend to be experienced with research studies, so onboarding is minimal. The trade-off is specificity: panel participants are not your customers, so insights reflect general market sentiment and comparative patterns rather than your specific customer psychology.

For brand research, product development, and go-to-market strategy based on actual customer feedback, customer-based data typically provides more actionable insights. Panel data excels for comparative market research, industry benchmarking, and identifying broader trends across geographies. User Intuition's flexibility means you can choose, or even combine both approaches—a hybrid capability that Conveo doesn't offer.

On User Intuition, participants engage in extended conversations—30+ minute guided exploration. The experience resembles in-depth interviews: a researcher asks open-ended questions, listens carefully, and asks follow-up questions based on responses. This conversational dynamic creates space for participants to articulate thoughts they might not have previously considered. The 98% participant satisfaction rate reflects this experience—participants often report finding the conversation valuable, insightful, and genuinely engaging rather than transactional.

This exploratory approach yields richer data. Participants reveal nuances, contradictions, and deeper motivations that typical survey formats miss. The extended time investment from participants correlates with more thoughtful, comprehensive responses. The natural conversational flow means participants feel heard and understood. Because the insights are then captured in User Intuition's ontology—structured, queryable, and persistent—every conversation contributes to a growing knowledge base.

Conveo offers a different experience: AI-moderated interviews with structured dialogue. The conversational AI guides participants through interviews using adaptive question routing. Participants don't interact with a human researcher; they interact with an AI moderator that listens, processes, and responds to their answers. Sessions typically last 15-60 minutes. The AI is designed to be emotionally intelligent and responsive, detecting sentiment and adapting tone accordingly. This creates a consistent, standardized experience across all participants—every participant encounters similar dialogue flows and similar response patterns.

The 93% satisfaction on Conveo indicates that participants find AI-moderated interviews engaging. The multimodal options (voice and video) create rich capture. The structured dialogue ensures no important questions are missed. The efficiency means studies can launch and close rapidly. For participants familiar with AI tools, the experience feels natural. For others, the structured AI interaction might feel less exploratory than human conversation.

Neither experience is inherently better. The participant experience should match your research objectives. If you need detailed understanding of participant thinking and want those insights to compound in value over time, the extended conversational format produces better data and higher engagement. If you need quick, standardized, academically rigorous data collection from large participant pools with minimal delays, the AI-moderated format is more appropriate.

User Intuition's methodology is rooted in proven qualitative research approaches. The 5-7 level laddering technique systematically moves from concrete behaviors to abstract values and identity markers. This approach originated in consumer psychology and has been refined through decades of academic research and Fortune 500 application. The analysis process involves trained researchers identifying patterns, themes, and psychological drivers across interviews—not just tabulating responses.

The ontology layer transforms this further. Rather than producing static research reports that sit in PowerPoint and lose value over time, User Intuition's proprietary ontology structures every insight into indexed, queryable knowledge. This means you can run future studies that reference past findings, cross-reference customer motivations across projects, and build cumulative understanding of your market. The insights become a durable strategic asset that appreciates as you run more research. Over time, the marginal cost of new insight decreases because the system understands your customer psychology more deeply.

This methodology excels at answering strategic questions: Why do customers choose us? What identity do they want to project? What values drive loyalty? What are the psychological barriers to adoption? The results are actionable insights that inform positioning, messaging, and product strategy—and these insights improve subsequent studies.

Conveo uses academic research methodology informed by ESOMAR standards (European Society for Opinion and Marketing Research). The platform applies structured dialogue, consistent question routing, and standardized interview protocols to ensure methodological rigor and cross-participant comparability. The AI assists with interview moderation, ensuring every participant receives comparable questioning. The methodology produces reliable aggregate data suitable for academic publication and industry benchmarking.

The analysis approach differs: Conveo focuses on efficient theme extraction, sentiment scoring, and pattern identification across large datasets. The AI assists with coding, transcription, and theme identification. The process prioritizes speed and structure. The export options (Slack, PDF, PPT) enable rapid sharing and decision-making. The methodology excels at answering comparative and trend questions: How do participants perceive this feature? Which benefits resonate most frequently? How does sentiment vary across demographic groups? The results are structured insights suitable for enterprise reporting and academic validation.

The methodological difference reflects different research traditions. User Intuition draws from qualitative research, psychology, and interpretive social science. Conveo draws from academic research standards, international research governance, and structured survey methodology.

For research questions requiring deep understanding of motivation and behavior drivers, qualitative methodology produces more valuable results. For questions requiring trend identification, comparative analysis, and reliable statistical structures across large samples, academic-grade structured methodology is more appropriate.

Traditional qualitative research takes 4-8 weeks from recruitment to final insights. User Intuition eliminates this wait entirely on two fronts. First, setup speed: you can design and launch a study in as little as 5 minutes—the fastest setup in the category. Second, results are real-time: as each participant completes their 30+ minute conversation, insights appear immediately. There is no batch processing, no waiting for a report. You see results from the first conversation onward, and the intelligence hub updates continuously as more data flows in.

This real-time architecture fundamentally changes how organizations use research. You can run iterative studies throughout the year. You can test positioning before announcing it publicly. You can validate product direction before committing engineering resources. Research becomes a core part of rapid decision-making, not a lengthy project gate. The 4M+ panel of B2C and B2B participants—people who are genuinely excited to share feedback—means you never wait weeks for recruitment. Need 20 conversations? Filled in hours. Need 200-300? Filled in 48-72 hours.

Conveo optimizes for rapid setup and quick analysis through a different model. Study creation is streamlined through the established panel network—no recruitment delays because the panel is already pre-qualified. Participant onboarding is efficient since panel members are experienced with research. The AI-moderation runs the interviews in parallel, not sequentially. The key speed advantage is post-study analysis: the AI processes interviews immediately, generates transcripts automatically, and extracts themes rapidly. Organizations can review initial themes and key findings within minutes of study close. Export options (Slack, PDF, PPT) enable quick sharing.

Scale capabilities differ accordingly. User Intuition is built for scale: they welcome 1000s of respondents because that's how you build true appreciation in the intelligence hub. Larger studies mean richer ontology, more pattern recognition, and deeper strategic insights over time. Insights don't get locked in a PowerPoint or walk out the door when someone leaves—they stay in the system. The real-time architecture means a 1000-respondent study is simply an extended version of a 100-respondent study; results start flowing immediately.

Conveo scales to thousands of participants rapidly through its 3M+ panel network. The AI can moderate unlimited concurrent interviews, so very large studies are feasible. The limiting factor is analysis: as datasets grow, theme extraction requires more processing, though the AI accelerates this substantially. For global research needing participants across dozens of countries, Conveo's panel infrastructure provides unmatched speed and reach.

Organizations should evaluate their timing needs: Do you need real-time strategic insights that roll in from the moment a study launches, with the ability to scale to 1000s of respondents (User Intuition's strength), or do you need rapid study setup with quick AI-assisted theme extraction from large global panels (Conveo's strength)?

User Intuition's pricing is straightforward and transparent: research needs are assessed, a study scope is defined, and a clear price is quoted. Organizations pay once and receive comprehensive results—no monthly subscriptions, no surprise costs. Studies start from as low as $200 for smaller sample sizes. A typical customer research study—30+ minute interviews with 200-300 customers, full analysis, and reporting—costs in the low-to-mid thousands range. Organizations can run multiple studies throughout the year at a fraction of the cost of traditional research.

This pricing model enables true research democratization. Non-researcher teams can afford customer research. Marketing can run brand studies. Product teams can test feature positioning. Customer success teams can understand churn drivers. Customer support teams can validate common pain points. Organizations that might run one traditional research project per year can now run 5-10 focused studies on specific questions.

Conveo offers a free tier—allowing organizations to launch small studies at no cost. This removes barriers for organizations testing the platform. For larger studies or enterprise use, Conveo operates through custom pricing that is not fully publicly disclosed. This creates less pricing transparency than User Intuition's published rates. The Y Combinator backing and 3M+ panel suggest that scale is built into the operating model, likely reducing per-participant costs at volume.

The pricing difference reflects different operating models: User Intuition's streamlined operations and simplified services with transparent costs versus Conveo's traditional enterprise research model with custom per-engagement pricing. User Intuition's approach favors startups, SMBs, and budget-constrained teams. Conveo's approach aligns with traditional enterprise vendor relationships.

For budget-constrained teams, startups, and organizations without dedicated research budgets, User Intuition's transparent, low-cost model removes barriers to customer research entirely. For large enterprises with significant research budgets and preference for custom pricing negotiations, Conveo's approach aligns with established procurement processes.

User Intuition's broad integration strategy means that anyone on your team—not just researchers—can access high-quality insights quickly. The OpenAI and Claude integrations function as MCP (Model Context Protocol) servers, enabling you to create studies, summarize insights, and do anything you can do on the User Intuition platform—directly from your AI tools. This MCP architecture means User Intuition integrates across thousands of tools in the AI ecosystem, not just a handful of pre-built connectors. Your CRM can trigger research when customer metrics change. Your product analytics tool can connect to User Intuition's intelligence hub. Your marketing automation platform can pull insights from past studies. Research becomes woven into your operational tools rather than siloed in a separate system.

Specific integrations include:

• CRM: HubSpot, Salesforce, Pipedrive, and others
• Automation: Zapier (triggering workflows based on research insights)
• AI: OpenAI and Claude via MCP server integration—create studies, summarize insights, and access the full platform capabilities across thousands of tools
• Payment: Stripe and Shopify (conducting research with customers who have purchased specific products)
• Analytics and tools: Custom APIs and webhooks for additional integration

This ecosystem approach means that customer feedback from User Intuition studies can automatically update CRM records, trigger product team alerts, or feed into AI systems for analysis. The ontology-based insights become living knowledge that powers your entire organization.

Conveo provides integrations focused on study management and data export: Slack for notifications, PDF and PPT export for sharing results, and API access for enterprise connectivity. These integrations support traditional research workflows where insights are extracted from the platform and shared via standard corporate formats. The approach works well for organizations needing to export findings into existing enterprise systems.

For modern organizations using diverse technology stacks with AI tools, Zapier workflows, and CRM-driven operations, User Intuition's integration breadth enables research to become embedded in your daily decision-making. For traditional enterprises with legacy systems and established data flows, Conveo's export-focused integrations may align better with existing infrastructure.

User Intuition implements multi-layer fraud prevention on all participant sources—verification at recruitment, behavior monitoring during studies, and post-study validation. Whether recruiting your customers or using the vetted panel, the system is designed to minimize false or low-quality data. Best-in-class fraud detection means you get genuine insights from real people, not bot responses or fraudulent participants.

Data storage emphasizes security and privacy: encryption, access controls, and thoughtful data retention align with privacy-first design. The platform supports enterprise security requirements: SSO/SAML integration, detailed audit trails, and transparent data handling practices. Documentation clearly explains how participant data is processed and protected.

Compliance status: User Intuition holds ISO 27001 certification, is GDPR fully compliant, and is HIPAA compliant. SOC 2 Type II certification is in progress. This means core enterprise security standards are already met, with additional certification underway.

Regional coverage: User Intuition supports research participants in North America, Latin America, and Europe. If you need languages or regions outside these areas, evaluate whether this limitation affects your research needs.

Conveo provides research platform security consistent with academic research standards and ESOMAR governance. The platform manages participant data, interview recordings, and transcripts with appropriate security controls. SOC 2 Type II certification is in progress, similar to User Intuition. The ESOMAR heritage means the platform operates according to international research ethics standards.

Regional coverage: Conveo's 3M+ global panel provides coverage across North America, South America, Europe, Asia-Pacific, and other regions. The multilingual capability (50+ languages) supports truly global research.

Both platforms handle participant data seriously. User Intuition's advantages are established ISO 27001 and HIPAA compliance, plus GDPR certification. Conveo's advantages are global panel infrastructure and ESOMAR-aligned research governance. Neither platform is fully SOC 2 Type II certified yet—both are in progress.

For organizations requiring HIPAA compliance, established ISO 27001 certification, or other specific compliance mandates, User Intuition's existing certifications are advantageous. For organizations requiring GDPR compliance for European research, both platforms support this. For organizations needing global research coverage beyond North America, Latin America, and Europe, Conveo's 3M+ global panel is stronger. For organizations prioritizing data minimization and transparent fraud prevention, User Intuition's approach is preferable.