Case Study: Pinterest improves user feedback analysis and support efficiency with unitQ

A unitQ Case Study

Preview of the Pinterest Case Study

Pinterest - Customer Case Study

Pinterest needed a better way to understand and act on user feedback across many channels, including support tickets, app store reviews, and Reddit posts. As the visual discovery platform focused on putting Pinners first, Pinterest wanted to move beyond reactive, manual aggregation and identify broader trends affecting user experience. It used unitQ’s AI-powered quality automation platform to centralize and analyze feedback at scale.

With unitQ, Pinterest can automatically group feedback, tag issues, surface aggregate trends, and connect them to Jira and support workflows so Engineering, Product, and Support can respond faster. The solution helped Pinterest become more proactive, improve SLA performance with quicker and more accurate first replies, automate bulk support responses for known issues, and better assess whether fixes are improving user retention over time.


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Pinterest

Rodion Gusev

Manager II Technical Program Management


unitQ

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