Summarize open‑ended research in an afternoon
Turn long, messy survey responses and notes into clear themes, top drivers, and concise 2–3 line summaries per question—powered by Map-Reduce architecture that handles responses of any length.
Who this is for
- User Researchers
- Market Research Analysts
- Consultants processing client interviews
Research bottlenecks
- Synthesis takes longer than data collection.
- Bias creeps in when manually tagging hundreds of rows.
- Stakeholders want "quick wins" from deep research studies.
What you get
Map-Reduce AI that handles long open‑ended questions—no token limits.
Theme/driver extraction across multiple studies.
Per‑question summaries and quote discovery using sentiment/intent filters.
Unified view of qualitative data alongside any quant metrics.
Exportable PowerPoint and PDF for your slide deck and reports.
Powered by the same AI insights engine
Regardless of your use case, our core engine ensures you get consistent, high-quality analysis every time.
- NPS, CSAT, CES where applicable
- Positive & negative drivers
- Top strengths & weaknesses
- 2–3 line AI overview per project
- Per‑response sentiment & intent
- Urgency & emotion detection
Accelerate your synthesis
Upload transcripts or survey exports.
Let AI extract the recurring themes and sentiment.
Export insights and quotes for your final report.
In practice
Example: Market Fit
"You survey 200 prospects. The AI reveals that while they like the "concept", the "pricing model" is a high-intent blocker mentioned by 40%. You pivot the pricing strategy before launch, saving months of wasted effort."