Leanbe 2.0 - Make better product decisions, driven by data and AI

@salil_sethi Thank you! On Leanbe all ideas and customers have scores. Each score is composed of several factors, which we call "score modifiers". Some of these modifiers are just math formulas, but we also use AI to determine the value of several score modifiers. For example, the accuracy of customer's voice based on the data we get over the time. Another example is the usage of features (feature adoption). In the future, we are also going to use the AI to do sentiment analysis and generate content for release notes, ideas and documentation. If you find this interesting and you have time in the near future, we can setup a demo call and we can show you all these in action :) Thanks again for your support!

@zaven_hovakimyan Thank you 🤩

@zaven_hovakimyan Thank you Zaven!

@helshevts Thanks a bunch, Helen. :)

@annie_williams1 Thank you, dear Annie 💜

@annie_williams1 Thanks a bunch!

@rana_phool Thanks a lot. We'll send you a message to discuss the impact this has had on our development process in more details.

@elly_cho You're right we've worked very hard. Thanks a lot!

@integrationa Gladly. Thanks for the heads up. :)

@petros_mkheyan Your kind words are greatly appreciated, thank you! We target both B2B and B2C companies at the moment, but not Enterprise.

@vardan_karapetyan6 Thank you!

@nairi_baghdasaryan Thanks a lot. :)

@albfresco thank you. Looking forward to collaborating with you too! :)