Case Study: Feeld achieves 10x feedback scalability during a product launch with Enterpret

How Feeld uses Enterpret to actively listen to community feedback during a product launch

Feeld, a dating app, sought to better understand its user community but was hindered by a manual process for tagging and analyzing customer feedback. This method was inefficient and prevented the company from deeply understanding member needs or maximizing its resources. Feeld turned to Enterpret's voice of customer platform to automate and scale its feedback analysis.

By implementing Enterpret, Feeld centralized feedback from sources like Zendesk, app stores, and Reddit. This allowed them to prioritize urgent issues, identify trends, and monitor product launch feedback in real-time. During a major app update that caused a 10x spike in user feedback, Enterpret was pivotal, enabling the small team to quickly analyze issues, prioritize fixes, and guide product improvements, effectively scaling their feedback operations by 10x.

Feeld

Dina Mohammad-Laity

VP of Data