Use Case
Core Benefits
Effortlessly organise and discover real-time data with well-tagged, structured buckets on a unified platform
Analyze and explore text deeply by tagging experts within larger bodies of content
Access macro or micro data buckets tailored to each member's role, enabling informed decisions at both strategic and granular levels
The tagging architecture has a lot of information that we care about consistently to improve our programs, so this will make it easier to spotlight and filter so the right view of all the information comes up at the right time.
Shirley Yan
Noora Health
Features
Code sentences, phrases, or words within large bodies of text—such as interviews and reports—to uncover deeper qualitative insights.
Automatically cluster data using tags applied during content creation, generating dynamic collection and listing pages. Filter and search clusters at micro or macro levels, providing a unified data repository.
Use AI for content summaries on collection and listing pages, and to accelerate annotation by offering suggestions that help teams code faster.
Create, edit, delete, merge, or split tags and categories for flexible inductive and deductive coding, enabling efficient thematic analysis.
Frequently Asked Questions
