AI User Research Analysis Agent
Automating User Research Analysis with AI
Unified VoC Ingestion Across Channels
The agent connects to interviews, surveys, support tickets, call transcripts, social listening, and reviews—normalizing data from fragmented sources into a single, searchable repository.
AI-Assisted Coding and Thematic Analysis
Automated topic modeling clusters feedback into themes, suggests codes aligned to your taxonomy, and surfaces patterns across segments and channels—with human-in-the-loop validation to maintain rigor.
Evidence-Backed Deliverables at Speed
The system synthesizes coded insights into personas, JTBD frameworks, messaging matrices, and creative briefs—each linked to timestamped quotes and source artifacts for stakeholder trust.
How Cassidy automates user research analysis using AI
Step 1: Trigger on new research data
The Workflow activates when new VoC data arrives—whether from uploaded interview transcripts, survey exports, CRM ticket feeds, call recordings, or social listening connectors.
Step 2: Transcribe and normalize
Cassidy transcribes audio and video, standardizes formats across sources, detects and redacts PII, and enriches each record with metadata like source, segment, funnel stage, and language.
Step 3: Apply coding taxonomy
The Workflow applies your custom coding schema—tagging for need states, pains, motivations, objections, JTBD, and journey stages—while flagging low-confidence codes for human review.
Step 4: Cluster and surface themes
Cassidy runs semantic clustering to group related codes into themes, quantifies frequency and trends across segments, and identifies contradictions or outliers that require triangulation.
Step 5: Synthesize insights with evidence
The agent generates atomic insight nuggets, each linked to supporting verbatims and timestamps, then drafts marketing implications—positioning territories, messaging hierarchies, and creative angles.
Step 6: Package deliverables
Cassidy compiles findings into structured outputs: insight decks, persona cards, journey maps, and experiment backlogs—ready for stakeholder review with full traceability to source data.
Implement it inside your company
- Hands-on onboarding and support
- Self-paced training for your team
- Dedicated implementation experts
- Ongoing use case discovery
- ROI tracking & analytics dashboards
- Proven playbooks to get started fast
