Conveo
Conveo is an innovative AI-powered qualitative research platform designed to streamline customer insights gathering while scaling operations effectively. It conducts AI-moderated voice and video inter
What is Conveo?
Conveo is an AI-powered platform for conducting qualitative research through automated voice and video interviews. It handles the full research workflow: recruiting participants, running interviews with AI moderation, transcribing responses, and analysing findings. The platform supports multiple languages and formats, making it useful for teams running customer research, user testing, or market studies without needing to hire external research firms. Compared to traditional qualitative research methods, Conveo typically costs less and produces results faster, though the quality depends on how well your research questions are designed. It's aimed at product teams, market researchers, and businesses that need customer insights but have limited budgets or timelines.
Key Features
AI-moderated interviews
automated voice and video interviews conducted by AI rather than human moderators
Multilingual support
conduct and analyse interviews across different languages
Automated transcription and analysis
converts interviews to text and extracts key themes and insights
Participant recruitment
built-in tools to find and invite research participants
Multiple export formats
generate reports in various formats for different stakeholder needs
Web-based interface
access the platform through your browser without installation
Pros & Cons
Advantages
- Lower cost than hiring human moderators or traditional research agencies
- Faster turnaround from recruiting participants to getting analysed results
- Scales easily across multiple interviews and languages without proportionally increasing costs
- Handles the full research workflow in one platform rather than juggling separate tools
Limitations
- AI moderation may not pick up on subtle conversational cues or follow unexpected but valuable discussion threads the way experienced human researchers would
- Quality of insights depends heavily on how well your interview questions are framed; poor question design won't be corrected by automation
- May be less suitable for highly sensitive or complex topics where human judgment and rapport are critical
Use Cases
Product teams conducting user testing and feedback sessions for new features
Market researchers gathering customer opinions across multiple regions and languages
Customer research on a budget when hiring external agencies isn't feasible
Iterative research cycles where you need quick feedback between product development sprints
Gathering qualitative feedback to complement quantitative survey data