AI that helps anyone talking to customers to quickly turn any meeting into roadmap clarity.
Usermuse joins Zoom, Microsoft Teams, or Google Meet calls.
Usermuse generates transcripts and automatically parses those transcripts into product signals (e.g., Needs, Pain Points, and Positive, Neutral & Negative sentiment). Usermuse categorizes, groups, sorts and de-dupes across any number of conversations leaving the Product team with a clear synthesis for product decision making.
Product Managers, Designers, and Researchers use Usermuse to conduct their qualitative user research.
Sales and Customer Success teams use Usermuse to efficiently and effortlessly deliver back to the Product team any and all insights from their calls with (prospective) customers.
Product teams can easily export the resulting synthesis to their favorite collaboration tools.
Gone are the days of the Product team having to manually review or tag transcripts or videos (too time consuming) or review call summaries (too high-level to be useful).
Usermuse.ai's answer:
Competitive platforms are not AI-first. They have all force-fit AI into their pre-existing products. Other products require a ton of manual tagging of transcripts to get any sort of useful data. Usermuse is automatic.
Usermuse.ai's answer:
The only-AI first tool built to help Product teams efficiently and accurately get signals and insights from all customer conversations (Product, Sales and Customer Success).
Usermuse.ai's answer:
Anthropic API, Gemini API, and OpenAI API
Usermuse.ai's answer:
Usermuse.ai's answer:
Post-A funded B2B start-ups through large B2B enterprises that are feeling out of touch with their customers due to: 1.) Less qualitative Product-led conversations/research than they’d like (because it’s too time consuming to do manually); 2.) Little to no insight into customer conversations happening with Sales and Customer Success teams (because the flow of information from these teams to Product is ad-hoc, sporadic, or non-existent.
Usermuse.ai's answer:
Usermuse was founded by a Product leader who has been in the space for 20+ years, Eran Dror. Eran also earned a Master’s Degree writing his thesis on AI. Eran experienced first hand the difficulty of capturing and making sense of all the various qualitative product signals that a Product team has to take into account, so he built Usermuse to solve this problem
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