Juno

Juno conducts structured user interviews using AI agents that follow conversation trees and branching logic to explore user behaviors, pain points, and motivations. The system manages interview flow by dynamically selecting follow-up questions based on user responses, maintaining conversational coherence while collecting qualitative research data. Interview sessions are recorded and transcribed, creating a persistent artifact for later analysis.

The system analyzes participant responses in real-time and generates contextually relevant follow-up questions using language models fine-tuned on research interview patterns. It maintains conversation context across multiple turns, detecting when a topic needs deeper exploration versus when to pivot to new areas. The AI evaluates response completeness and automatically decides whether to probe further or move forward based on research objectives.

Juno automatically transcribes audio/video from interviews using speech-to-text models and enriches transcripts with metadata including speaker identification, timestamps, and topic segmentation. The system applies NLP post-processing to clean transcripts, correct common speech recognition errors in context, and tag key moments (e.g., emotional shifts, contradictions). Transcripts are indexed for full-text search and linked back to original recordings.

The system analyzes interview transcripts using NLP and LLM-based techniques to automatically identify recurring themes, patterns, and insights without manual coding. It applies topic modeling, sentiment analysis, and entity extraction to surface key findings like user pain points, feature requests, and behavioral patterns. Results are organized into a thematic map showing which insights appear across how many interviews, enabling researchers to prioritize findings by prevalence and impact.

Juno manages the end-to-end recruitment workflow including participant screening, scheduling, and reminder automation. The system maintains a participant database, applies screening criteria to filter qualified candidates, and sends automated calendar invitations with interview links. It handles timezone conversion, sends pre-interview reminders, and tracks no-show rates. Integration with common calendar systems (Google Calendar, Outlook) enables seamless scheduling without manual back-and-forth.

Juno provides a collaborative workspace where multiple team members can access interviews, transcripts, insights, and analysis in real-time. The system supports role-based access control (researcher, stakeholder, admin), comment threads on specific insights or quotes, and shared annotation layers. Teams can create shared research reports that pull from the interview database, with version control and approval workflows. Export functionality supports multiple formats (PDF, CSV, Markdown) for sharing with non-users.

Juno enables researchers to segment interview data by user attributes (e.g., company size, industry, usage level) and automatically generate comparative insights showing how themes and pain points vary across segments. The system applies statistical significance testing to identify which differences are meaningful versus noise. Segment-specific reports highlight unique insights for each group, enabling targeted product decisions. Visualization tools show theme prevalence across segments using interactive charts.