Trusted By The World’s Top Product-Led Companies
While any function can operate better learning from customer insights, Enterpret is best suited for Product Development teams - Product Managers, Designers, and Engineers.
If your monthly customer feedback volume is less than 1000 feedback records, you are most likely early for an AI solution like Enterpret.
Yes, it doesn't matter how deeply technical your product is. Enterpret relies on a proprietary unsupervised Machine Learning approach to continuously chunk your customer feedback across all sources and languages into small phrases, cluster semantically similar feedback, and extract dominant reasons of feedback to create and maintain your feedback taxonomy. Essentially, each customer gets its own ML model output.
A few popular use cases we see are a) prioritizing near and long term roadmap b) shipping quick improvements c) tracking product launches d) automated reporting to replace recurring Product - Support meetings e) onboarding new team-members on product development. If you find value in anything else besides this, do let us know.