The use case: how Feeld deploys Enterpret
Feeld centralizes member feedback from Zendesk, Reddit, the App Store, the Play Store and other sources in Enterpret to automate tagging, spot trends and issues, and prioritize fixes, notably while monitoring a product launch.
Figures in the source
Figures published in Enterpret’s case study. They are not independently measured by usedby.
10x
Managing a 10x increase in Member feedback with a small team
In the customer’s words
Enterpret is one of the most powerful tools in our toolkit. It's very Member-friendly. We've been able to share how other teams can modify and self-serve in Enterpret. It's bridged a gap to getting access to Member feedback, and I see all our teams finding ways to use Enterpret to answer Member-related questions.Other companies using Enterpret
Customers across industries, with public evidence.
Apollo.ioConfirmed
BitvavoConfirmed
Boll & BranchConfirmed
CanvaConfirmed
DescriptConfirmed
ElevenLabsConfirmedGo straight to the source
Based on Enterpret’s published case study. We check the public evidence; the results are reported by the vendor.
enterpret.com- Source published
- Apr 21, 2026
- Last checked
- Oct 22, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Feeld.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Feeld uses EnterpretChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Enterpret was pivotal to capture both a wide and deep picture of what our Members’ experience was like. The speed with which Enterpret captured real-time insights from the volume of feedback made it indispensable for prioritization, especially with our smaller team.