Seven24.ai

@star_boat Thanks for checking us out, Bruce 🚀! And thank you for your questions! 😊 During the onboarding process, we ask users to describe their business so we can incorporate that description, along with other details, into the LLM to ensure feedback relevancy. Additionally, we’re working on a new feature that will allow you to regenerate tasks with additional context if something doesn’t seem right (e.g., if a task for a particular feedback isn’t accurate). This way, the LLM can tailor the output even better with the extra details you provide! Currently, feedback under the same task is divided by all feedback within that topic, resulting in an associated importance percentage 🤓. This is how tasks are prioritized at the moment. We’re eager to develop additional prioritization methods, like user impact or integrations with other complementary data platforms! This launch is also about gathering as much feedback as possible so we can prioritize the next steps effectively!

@kyrylosilin Hi Kyrylo 🤝🤝🤝! Sure! Feedback is analyzed before being assigned to a task within the relevant topic category, using topic modeling technology and specific aggregation techniques. Afterward, feedback under the same task is divided by the total feedback count within that topic, resulting in an associated importance percentage 🤓. Thanks for your support ❤️!

@_maxblade Thank you, Max 🚀🚀🚀 That’s exactly our thinking—let’s keep it simple! Appreciate your support!

@mitia Thank you, Mitia! We really appreciate your support 🔥 🔥 🔥

@victoria_zolotukhina Thank you so much for your support, Victoria! I’d love to hear your feedback after you try it 😎 😎 😎.

@nabok Thank you so much for your support, Dima! And awesome name btw 😜

@awesomeyang Thank you so much, AwesomeYang! 😊 We really appreciate your support, and I totally agree — Positivity Booster is one of my favorite features too 💯 💯 !