Sentiment Sensor
Enhancing Usersnap Insights Page with AI
Usersnap is a user feedback platform that helps product teams collect feedback, discover insights and take action.
I led the end-to-end design of a brand-new Insights page that helps users uncover trends in product feedback—surfacing what’s going well and what needs urgent attention.
Deliver specific, high-value insight that reduces time to value and lightens the load on product teams.
Client
Usersnap
Help users instantly spot patterns in feedback: what’s trending positively, and where negative sentiment is growing.
Reduce the need for manual analysis or external exports.
Strengthen our product’s time to value (TTV) by creating an earlier “aha!” moment during the discovery phase.
Partnered with our AI team to scope how we could detect trending topics and run sentiment analysis across feedback data.
Designed a new Insights UI to display:
Top 3 trending positive topics
Bottom 3 trending negative topics
Prototyped and presented multiple versions to stakeholders.
Gathered feedback from product and sales teams and iterated accordingly.
Worked closely with engineers to hand off final specs and behavior guidelines for implementation.
Initial Designs
This project supports our company’s broader goals in two ways:
Time to Value (TTV): By showing meaningful insights right away, we help users hit that first aha moment fast.
Discovery Support: Insight analysis is a core activity for product discovery. Making it effortless increases user retention and trust in our platform.