The underlying feeling I get from your post is that organizations are looking at the problem from the wrong perspective. The reason you have to dive into the pros / cons of productivity tracking is because companies aren’t being creative enough to actually fix the problem. Recently, companies have become data hungry and just want to collect more data points about their employees. They continually “diagnose” and rarely provide a “treatment”. Instead of checking to see if I’m looking at my Zoom screen, give me the ability to signal my disinterest or show that I don’t think I need to be in this meeting. Give me a upvote / downvote button live in meeting that everyone can use to decide if a topic has drawn on too long and we need to move on. As the host, show me who is confused so I can try to clear thing up for people. There is so much opportunity in building tools that actually help people improve in real-time instead of just collecting more data to use for something later.
THANK YOU! As I’ve mentioned in class, calling everything from a linear regression to quick analytics of survey data “AI” gets quite old after a while. Just using the term AI instead of machine learning plays in to this weird sci-fi / futuristic trope that is getting pretty old in the tech industry. It seems that more legitimate VCs are catching on to the snake oil and using technical advisors to dive deeper into the stack to see what the core IP really entails. There are definitely areas that can use ML to significant benefit (i.e. medical imagery) but most people aren’t doing anything close to “AI”.
As someone who has played around with nudges in my own product, it is very difficult to do well. From a software / data perspective, it is tough to surface increasingly valuable insights that can form the rationale behind a new nudge. This leads to employees getting tired of the same nudges over and over again. If Humu can figure out a way to add serendipity or fun into the nudging (i.e. gamification), this could be huge!