Typically, you'd review the user experience dashboard, see negative experiences, investigate through feedback sentiment, observation data or launch related research studies, and finally ideate/validate a solution. OR, define a desired outcome, run research studies about particular user experiences (to find opportunities), and then ideate/validate solutions.
Thematic analysis is performed on your interview transcripts, survey questions and more, to unify your findings into a simple view.
Queries are summarised into auto-generated user journeys from observations, feedback and the research study data.
With the user journey data tagging, no need to manually add individual custom event tracking code. Also, tagging retroactively updates previous and new observations, so tagging is only done once.
Leverage AI tagging to classify feedback, semantic search and filter query to identify key pieces of feedback and granular statistics to visualise the overall sentiment of your users. The feedback hub also has a user journey summary of the feedback, related observations, private chats and research studies.
We help you handle run studies (like remote user interviews, usability tests and surveys) end-to-end, so you can allocate more time back to improving your product(s)
Use research findings to quickly define a user flow diagram then run usability tests to determine value to users, the business and much more.
Import and Live Test Figma Prototypes and Soon, AI chat collaboration.
With the key user needs extracted and data gathered, you can prioritise each need by weighted priority factors; ready for the roadmap or epic board.
