Customer discovery for AI products

0:00 the most sexy startup in City can Valley is AI startup the hardest guy to date is ml engineer I was kidding but most people has no clue how to build a successful AI product and how to break into AI product management most people like AI but they don't know how to put AI onto the long-term product role map without creating even more constraints this is do City ever launched an award winning AI product as a director product in this video I'm going to cover the top four most Foundation knowledge of ENT AI product management life cycle so that you can quickly jump start your AI career make sure to stay until the end of the video where I cover the top secret that most people don't talk about when they develop the AI [Music] product hey guys this is Dr n a director product featured in fors I helped 100 people land the dream PM job offer in fan companies and un startup and continue to get promoted as a product leader in this channel we cover the tech Trends and free product management training like And subscribe and check out new video every Tuesday the four stages of AI product management life cycle the number one is customer

1:11 Discovery this quite similar to all the tech product however the product Discovery in the AI process is slightly different and you must evaluate whether AI can actually solve the needs and desire and pain point of customers lots of people noway just want to put AI because they're very sexy but in reality is AI not a good fit for several different scenarios for example I asked this question what would the co of Delta do in the coming 10 years one of my student inside PMX her idea was to use AI to do automated fly pass control for Delta Airline this is definitely a big no no and very dangerous Behavior because you don't want to use AI to real time predict the fly pass or even change a fly pass because it's likelihood maybe 1% or maybe less than 1% of chance AI prediction was incorrect and then you're going to have flight crashes so what this mean is when you ask any airline passengers as a customer they never say I want AI to design my fly pass but what they really saying is I won't have more pleasure flight experience when I'm on the Delta Airline so therefore we must

2:23 spend lots of time doing customer research and understand how exactly AI fit in and how customers is able B to perceive and also use AI product that's why all product managers need to create the ENT customer Journey map to evaluate what does customer want and like the second part of customer Discovery is to do deep research about the technology you'll be using for example assuming AI is a good solution to solve the customer paino but you must understand the tools and models to use for AI and what kind of data collection strategy and any existing tools and models we can leverage for example right now generative AI is very hot but you might directly be able to use API through open Ai chbt and to directly build your product on top of existing model when I build my award- winning product which is Ed AI to reduce car crashes and that product received the mayor's best practice award in 2017 when we build our specific product we didn't start anything from scratch we look around the existing AI models that we can leverage and build on top of it that's why we went to idia and at that time Nvidia already have very good object detection

3:33 models that we can leverage and build our models on top of it so the different layers of models we have been using to build the specific AI product so therefore product managers must make technical decision to do evaluation of existing tools and work with your engineers to understand what's the best strategy to apply AI in the initial phase of investigation and in this video