I recently released http://usediscovery.ai - it's a user insights product I built after having thousands of customer discovery calls as a product manager and realised how most of the customer insights I got often get lost after a while.
Also, while doing discovery for a new product I realised how much time I spent trying to analyse the interview sessions, most times I have to listen to the sessions over and over again and other teams don't often get the full customer context.
So I built a product that leverages an LLM to simplify interview session analysis and allow users to store insights & customer knowledge to make it easily retrievable & shareable for all teams.
It's pretty simple, you sign up, you upload your customer calls manually or from a cloud storage drive, then you can generate transcription, summaries & actionable insights. You can highlight parts of the transcription and categorise them under a new or existing tag.
Would love to hear your feedback on what you think and what we could add to make this even more useful, thanks!
Also, while doing discovery for a new product I realised how much time I spent trying to analyse the interview sessions, most times I have to listen to the sessions over and over again and other teams don't often get the full customer context.
So I built a product that leverages an LLM to simplify interview session analysis and allow users to store insights & customer knowledge to make it easily retrievable & shareable for all teams.
It's pretty simple, you sign up, you upload your customer calls manually or from a cloud storage drive, then you can generate transcription, summaries & actionable insights. You can highlight parts of the transcription and categorise them under a new or existing tag.
Would love to hear your feedback on what you think and what we could add to make this even more useful, thanks!