14 Analysis Lenses for Qualitative Research
Analyze surveys, interviews, and focus groups through multiple AI-powered frameworks including thematic analysis, Jobs-to-be-Done, Empathy Maps, and more.
Running Analysis
Jobs-to-Be-Done Map
Functional Job Identified
Users need to quickly analyze interview data without coding expertise
Prevalence: 18/24 transcripts
Emotional Job Identified
Researchers want to feel confident in their findings
Prevalence: 15/24 transcripts
Why AI-Powered Analysis?
Transform hours of manual coding into actionable insights with evidence-backed findings.
LLM-Powered Analysis
Advanced AI extracts insights, themes, and patterns from qualitative data automatically.
Transcript & Portfolio Level
Get both individual transcript analysis and synthesized findings across all data.
Evidence-Based Findings
Every insight is grounded in verbatim quotes with 2-5 citations per finding.
Prevalence Counting
See how many transcripts surface each theme for prioritization.
14 Pre-Built Analysis Lenses
Click any lens to learn when to use it and what insights it provides.
How Analysis Works
Select one or more lenses and let our AI analyze your qualitative data, providing both transcript-level and portfolio-level insights.
1. Select Your Lenses
Choose from 14 pre-built frameworks or create custom lenses for your specific research needs.
2. AI Analyzes Each Transcript
Our LLM processes each interview, survey response, or focus group with the selected lens.
3. Get Synthesized Findings
Receive aggregated insights with prevalence counts, priority rankings, and verbatim quotes.
Portfolio-Level Summary
Users consistently cite lack of time as the primary barrier to thorough analysis.
Existing tools require significant training and technical expertise.
Analyze Any Qualitative Data
Our analysis lenses work across all types of qualitative research data.
Interviews
AI-moderated or traditional
Surveys
Open-ended responses
Focus Groups
Group discussions
Uploaded Data
Existing transcripts
4-Stage Grounded Analysis
Code Extraction
Initial coding of raw data
Codebook Generation
Organize codes into categories
Theme Development
Identify overarching themes
Report Generation
Synthesize findings with evidence
Rigorous Thematic Analysis
Our grounded emergence pipeline follows a systematic 4-stage process inspired by established qualitative research methodologies.
Data-Driven Themes
Themes emerge from your data, not imposed from external frameworks.
Verbatim Evidence
Every theme is supported by direct quotes from participants.
Saturation Tracking
Know when you have enough data with saturation metrics.
Transform Data into Actionable Insights
Apply 14 research frameworks to your qualitative data and discover insights that matter.