What it is
User Evaluation is an AI-first user research platform that automates the steps from data capture through analysis and reporting. The platform ingests audio, video, text and tabular inputs, transcribes recordings in multiple languages, and produces synthesized findings and actionable recommendations using a unified AI system. It includes tools for real-time note capture during calls, automated tagging and categorization of responses, and the generation of draft reports and presentations. The service also describes its data protection posture, stating the use of encryption and a policy of not using customer data to train its AI models.
Key features
The product offers automated, multilingual transcription with speaker detection and support for custom vocabularies across 57 languages. An AI assistant can generate live, timestamped notes and allow manual annotations during sessions. Analysis capabilities include automated tagging, sentiment and emotional insights, participant tracking, and aggregation into AI-generated themes and recommendations. Output features include downloadable clips, Kanban-style collections for organizing insights, and instant report and presentation generation with charts and visualizations. The platform supports multimodal AI chat that processes audio, video, text and tables, returns contextual visual responses, and attaches source citations. Additional features listed include PII redaction, white-labeling of reports, integrations with other tools, and ready-to-use AI templates.
Use cases
Organizations and teams conducting qualitative and mixed-methods research can use the platform to transcribe interviews, tag and synthesize participant responses, and accelerate analysis workflows. Product and UX researchers can deploy the live notetaker and speaker-detection features during remote sessions to capture conversation context and produce draft reports immediately after sessions. Customer insights teams can extract sentiment, create highlight clips, and share branded presentations with stakeholders for decision-making. The platform’s multimodal chat and data visualization capabilities support exploratory analysis of varied data types and help centralize research artifacts in a searchable repository for ongoing product development and team alignment.
