Innerview

Innerview is an AI-based tool designed to convert user interviews into insightful, actionable takeaways. It is intended for product managers, designers, and user researchers, offering capabilities like automated insights, data analysis, interview summaries, historical data dives, customer profiling, sentiment analysis, and key topic identification.

Innerview transforms interviews into insights through highlighting, tagging, and AI-synthesis capabilities. It swiftly moves from interview data to insights, eliminating long wait times. It enables extraction of interview summaries and key insights quickly for rapid delivery of research results.

Key features of Innerview include automated analysis using AI, ability to search past interviews, automated customer profiling, sentiment analysis, highlight & aggregate functionality for pulling out important insights, multilingual support, accurate transcription, tagging for theme and insight surfacing, customizable AI prompts, and built-in enterprise-level controls and encryption for security.

Innerview employs AI to interpret data and glean insights from multiple perspectives. This is done using advanced machine learning techniques, allowing the tool to find patterns and connections in raw information which facilitate understanding of not just the interview content but also the sentiment, context, and overarching narratives.

Yes, Innerview can automatically segment your data into customer profiles to generate a focused evaluation of user needs. This helps in making insights more relevant and actionable.