Case Study: ElevenLabs turns customer feedback into product decisions with Enterpret

ElevenLabs turns customer feedback into product decisions with Enterpret, saving 30-45 minutes of weekly prep

ElevenLabs, a leading AI voice technology company, faced a significant challenge in managing the overwhelming volume of customer feedback generated by its rapidly growing mobile app. With a lean team shipping updates every few weeks, they were inundated with feedback from app stores, support tickets, and social media that was impossible to process manually. Their initial attempt to use off-the-shelf LLMs for summarization failed to provide the trusted, actionable insights needed for strategic product prioritization and decision-making across product, marketing, and engineering teams.

By implementing Enterpret, ElevenLabs unified feedback from every customer touchpoint and connected it to key business metrics. The solution provided a single source of customer truth that was integrated directly into the team's workflow via Slack, replacing manual analysis with automated insights. The measurable impact was substantial: the app achieved $10M ARR in under six months, a redesigned monetization strategy led to new revenue streams like one-time credit packs, and the team automated a weekly digest that saved 30-45 minutes of manual preparation time.

ElevenLabs