Sprig has been a gamechanger for in product feedback collection. Its ability to seamlessly target users and capture insights at scale has transformed how we gather feedback. It delivered both high volume and high quality responses with minimal operational overhead.
Before Sprig, running early access and beta programs required significant program management effort, often yielding low response rates or weak signals. With Sprig, we could autonomously collect a steady stream of quality feedback, allowing teams to monitor real-time sentiment using their AI powered analysis.
The real unlock came when we integrated Sprig with Enterpret. Suddenly, in product feedback wasn’t just a siloed data point. it became part of a unified feedback ecosystem, alongside sources like Zendesk, Twitter, and Reddit. This gave the entire company a single, searchable source of truth, making it easier to identify trends, validate decisions, and stay connected to user needs at scale.
If you’re looking to build a continuous loop between user insights and product decisions, Sprig (especially when paired with Enterpret) is a must-have. Review collected by and hosted on G2.com.
Sprig's billing model can be very confusing and rather expensive. It's not very clear how it works and how to manage it in an optimal way. Also the way they format their data exports through the API is really tricky as well and takes a lot of time to reformat into a usable way. Review collected by and hosted on G2.com.
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