Notably

What Is Notably?

Notably is a research platform designed for gathering, analyzing, and sharing customer insights from qualitative data. It serves as an end-to-end AI-powered tool within the UX tools category, supporting teams in processing user research data such as interviews, videos, and feedback. With a freemium pricing model, Notably enables users to start with basic features at no cost and scale to paid plans for advanced capabilities. It fits into the design workflow during the research and validation phases, where designers and product teams need to synthesize user feedback to inform UI/UX decisions and iterations.

What Notably Does

• Automates transcription, summarization, highlighting, and tagging of video and qualitative data.
• Performs AI-powered clustering of research data by themes, sentiment, or journey stages.
• Provides sentiment analysis to identify emotional tones in customer conversations and feedback.
• Offers custom AI templates and a library for workflows across research stages like debriefs and insights generation.
• Generates shareable interactive reports with AI-created images for stakeholder communication.
• Maintains a secure, searchable repository for storing and organizing research data with origin tracking.

How Notably Can Be Used

• Import raw data from user interviews or focus groups for automatic transcription and theme detection to accelerate feedback analysis in product design cycles.
• Cluster and tag support call recordings to uncover patterns in customer experience and prioritize UX improvements.
• Synthesize feedback from usability testing sessions using AI templates to generate insights for UI refinements and journey mapping.
• Conduct cross-project searches to identify recurring themes across multiple studies, supporting evidence-based decisions in product development.
• Create visual reports from synthesized data to share with cross-functional teams during design reviews or stakeholder meetings.

Who Is Notably For?

Notably targets UX researchers, product designers, and customer experience teams handling qualitative data in design workflows. It suits roles involving user interviews, feedback analysis, and insight synthesis, from individual practitioners to enterprise research organizations across industries like product development, clinical trials, market research, and academic studies. Experience levels range from junior researchers learning to manage datasets to senior teams scaling collaborative analysis. UX teams at companies conducting regular user testing find it applicable for streamlining workflows without extensive manual tagging. Visit Notably