Qualz and Conveo both serve the AI-powered qualitative research market. Here's how they compare across key dimensions.
Platform Overview
Qualz.ai provides end-to-end qualitative research with emphasis on methodological rigor and deep analysis capabilities.
Conveo offers AI-moderated conversations with focus on scale and accessibility.
Core Capabilities
Interview and Survey Capabilities
| Feature | Qualz | Conveo |
|---|---|---|
| AI interviews | Yes | Yes |
| Voice-based | Yes | Yes |
| Branching logic | Yes (advanced) | Yes |
| Multi-language | Yes (90+) | Yes (50+) |
| Transcript import | Yes | Limited |
Analysis Features
| Feature | Qualz | Conveo |
|---|---|---|
| Automated themes | Yes | Yes |
| Analytical lenses | Yes (14 options) | Limited |
| Code-quote mapping | Yes | Limited |
| Custom frameworks | Yes | No |
| Grounded theory | Yes | No |
Research Operations
| Feature | Qualz | Conveo |
|---|---|---|
| Participant recruitment | Yes | Yes |
| AI participants | Yes | No |
| Team collaboration | Yes | Yes |
| API access | Yes | Yes |
Key Differentiators
Qualz Advantages
Methodological Depth: Support for academic research methods including grounded emergence, multiple analytical lenses, and full traceability from themes to quotes.
Analysis Flexibility: 14 pre-built lenses (Jobs-to-be-Done, customer journey, emotional response, etc.) plus custom framework support.
Transcript Analysis: Full support for analyzing uploaded transcripts alongside AI-collected data.
AI Participants: Synthetic user capability for rapid hypothesis testing.
Conveo Advantages
Conversational UX: Strong focus on natural dialogue flow during AI interviews.
Scale Simplicity: Streamlined for high-volume conversational research.
Quick Deployment: Minimal setup time for basic interview studies.
Analysis Quality
Qualz Approach
- Grounded emergence follows academic thematic analysis methodology
- Codes generated from data with quote attribution
- Multiple passes for theme consolidation
- Audit trail maintained throughout
Conveo Approach
- AI-generated summaries and themes
- Focus on speed and accessibility
- Less emphasis on methodological traceability
Use Case Fit
Best for Qualz
- Academic or rigorous commercial research
- Teams needing multiple analytical perspectives
- Projects combining primary and secondary data
- Organizations requiring methodological documentation
Best for Conveo
- High-volume conversational research
- Teams prioritizing speed over depth
- Simple interview-to-insight workflows
- Organizations new to AI-powered research
Evaluation Checklist
When comparing, assess:
Must-haves:
- Core data collection needs met
- Analysis depth sufficient for your stakeholders
- Compliance requirements addressed
- Budget alignment
Nice-to-haves:
- Advanced analysis features
- Integration capabilities
- Customization options
- Support and training
Total Cost Considerations
Beyond subscription pricing:
- Training time for researchers
- Analysis time per project
- Quality assurance effort
- Stakeholder acceptance
A platform with deeper automation may cost more but save significant analyst time.
Interested in seeing Qualz's analysis capabilities? Schedule a demo to explore how our platform handles your specific research needs.
