Deep Research
AI-powered research synthesis that automatically generates insights and reports from your data.
You've conducted dozens of interviews. The transcripts are full of valuable insights. But turning all that qualitative data into actionable findings? That's where most research projects stall.
Deep Research changes this. It's an AI-powered system that analyzes your interview data at scale and produces structured insights and reports automatically.
How Deep Research works
When you trigger a Deep Research run, the system executes a multi-step pipeline:
- Context validation: The system reviews your research guide, project context, and any background materials to understand what you're trying to learn
- Requirement analysis: It identifies the key questions your research should answer based on your guide's objectives
- Data retrieval: All relevant interview transcripts, notes, and participant data are gathered and prepared for analysis
- Insight generation: The AI identifies patterns, themes, and notable quotes across your interviews
- Report creation: Everything is synthesized into a structured report with visualizations
Real-time progress tracking
Deep Research runs can take time, especially for large studies. You can watch the process unfold in real-time, seeing which step is currently executing and reviewing partial results as they're generated.
Automated visualizations
Reports include auto-generated charts and visualizations based on your data. The system can run Python code to create custom charts, analyze distributions, and visualize patterns that would take hours to produce manually.
Built for scale
Whether you have 10 interviews or 100, Deep Research handles the volume. It's designed for the kind of large-scale qualitative research that would be impossible to analyze manually in a reasonable timeframe.
What you get
A complete report including:
- Executive summary of key findings
- Thematic analysis with supporting quotes
- Participant-level insights and notable outliers
- Data visualizations and charts
- Recommendations based on the findings
This isn't a replacement for researcher judgment—it's a force multiplier. Deep Research does the heavy lifting of pattern recognition and synthesis, freeing you to focus on interpretation and action.
