Quant plus qual in one workflow
The homepage contrasts traditional surveys and observational studies with traditional interviews, then positions Diwa as a faster, higher-context middle ground.
Diwa AI
Recruit qualified participants for AI-led interviews and mixed-method research workflows run with Diwa AI.
About Diwa AI
AI Research That Blends Quantitative Scale with Qualitative Depth
Diwa AI positions itself as a platform that combines structured data with conversational context so teams can understand not just what people do, but why they do it.
Centered on understanding the reason behind behavior
Diwa's positioning focuses on revealing the context and motivation behind each data point rather than only summarizing top-line numbers.
Platform
Key Platform Components
Diwa AI combines adaptive AI interviewing, transcript and media capture, analysis summaries, and flexible pricing for research teams running AI-supported studies.
Voice-based AI interviews
Diwa leads with conversational AI interviews that adapt in real time and are positioned as a smarter way to gather insight at scale.
AI analysis and report summaries
The pricing page includes AI analysis of data plus report summaries, showing that Diwa is built to move from interviews into synthesized outputs quickly.
Transcript, audio, and video capture
Diwa includes transcript, audio, and video data collection per respondent, giving teams more than just text summaries from each interaction.
Support for existing research recordings
The product also supports transcription and AI analysis for uploaded research audio files, including focus group and in-depth interview recordings.
Research
Core Research Methods and Uses
Diwa AI is suited to mixed-method and interview-led research where teams want conversational depth without giving up speed or scalable analysis.
AI InterviewsMixed-Method ResearchObservational StudiesVoice-Based StudiesVideo and Audio CaptureFGD and IDI Analysis
Integration
Diwa AI and Respondent
Respondent can help teams source the right people before Diwa AI conducts adaptive interviews, especially when the study depends on more exact audience definitions.
Recruit better-fit participants for AI interview studies
Use Respondent when Diwa projects need consumers or professionals selected by tighter behavioral, demographic, or market criteria before the interviews begin.
Strengthen the value of Diwa's downstream analysis
More precise sourcing upstream can make Diwa's AI summaries, transcripts, and mixed-method analysis more useful when decisions depend on the right sample.
Respondent Integrations
Connect Respondent with the tools you already use to streamline your research workflow from end to end.
