Case Study: Novo increases customer feedback 40% and saves 20 hours a month with Sprig
Key results
The challenge
Novo, a banking platform for small businesses, ran product development, support, and research with a small team. Collecting customer feedback meant time-intensive segmenting, emailing, and interviews, and there was no scalable way to summarize open-ended responses into product recommendations.
The solution
Novo deployed Sprig in-product surveys within its platform and triggered them on user events via RudderStack. Sprig AI Analysis summarized thousands of responses into product recommendations, removing the manual review of open-text answers.
“Being able to automate our customer outreach was a game changer. It saved us so much time spent finding customers and coordinating interview schedules.”
RLRoger LiuDirector of Product, Novo
The results, in context
Novo increased customer feedback by 40% while decreasing the time spent collecting data, and saved 20 hours a month previously spent coordinating interviews. Sprig AI turned thousands of responses into product recommendations and insights.