61 products left, but today MonkeyLearn
Hi friend 👋,
I argued yesterday that people are still superior than machines due to their capacity to extract information from disparate data pieces. However, I also emphasized that machines are far superior in terms of information volume. If you are in charge of a product, feedback can come from anywhere and in an unstructured manner. There is no method to formulate the reviews found in the AppStore or PlayStore if you have an app. If it's a SaaS, you'll find evaluations on G2 or TrustPilot, as well as in community forums. If you have a help channel, you should be prepared for fast feedback. And everything you've heard via emails, NPS surveys, and CSAT surveys will now include reviews. Those points often imply nirvana for product folks, but without structure, it's a complete disaster to interpret what they meant.
What we can do is categorize them based on their intent or perhaps sentiment. After that, we can grade them based on how serious they are, who said it, what might happen, and so on. We now have the picture, but we must maintain it. We need to complete the procedure each time a fresh review including text is received. I normally like to analyze these kind of jobs using complexity, and it appears to be O(N). Solutions are simple to come by if you can recognize both your patterns and the surrounding complexity. Is there any chance, then, that we could find an O(1) solution to this problem? With the help of today's innovation, we just might make it.
Today, MonkeyLearn is our product.
MonkeyLearn is a platform that allows you to connect your reviews and receive a comprehensive view of all available analyses. I’m confident that we are in a good position regarding AI enhancements for NLP. So we may put our trust in them. When you conduct the analysis, it will create the topics' categories and subcategories. So, if it's regarding pricing, user experience, or a bug, you'll find it under the category section. Then they utilize sentimental analysis to categorize feelings; it might even be a key performance indicator for the product team. I never understood the purpose or benefit of utilizing a word cloud, but for some reason, everyone loves it, so they have it as well.
I strongly advocate for tools that decrease the complexity of our jobs. It reduces the barriers to not doing it and makes analysis enjoyable for product managers. Give it a shot if you have the chance!
We’ll talk again tomorrow.