GenAI Review Challenge
If you are preparing for Product Management job interviews, you need to stay up on the latest in GenAI products. To inspire you, I challenge you to review 20 products in 30 days. If you don’t have time for 20 in 30 days, consider 10 in 14 days. It takes 7 to 10 days in a row to make something a habit.
This challenge is meant to help you sharpen your product sense skills as well as stay current on GenAI product.
Ideally, you review one product a day Monday through Friday or you do a couple of days skip the day I don’t care what the order is but the clock starts tomorrow. I did mine today.
When we think of GenAI products, there are five types:
Embedded assistants - an AI powered assistant that is embedded inside the core product and is designed to complement the value proposition in some way
New standalone products - AI powered, standalone products that are separate to the core productoffering
UX enhancers - AI powered features designed to make it easier to use an existing product or improve the overall user experience in some way
Productivity boosters / time savers- AI-powered features designed to boost the productivity of users
ML intelligence / data analysis - AI powered machine learning models deployed to add value or uncover insights
Thanks to the Department of Product for this breakdown.
When you do a review, try to think about which type of product you have considered. My review of TealHQ is a cross between a new standalone produc stand UX enhancers. The product seems to have been created in the age of AI, but much of the product works without AI and GenAI works as an enhancer. The twist is without the enhancer, it isn’t really worth moving off your spreadsheet.
Being able to critically analyze the type of GenAI product you are reviewing will help you build an instinct and framework for discussing GenAI products.
What should the review contain?
I am still playing with my review framework, but consider the following:
What do you believe the product goal is?
How AI or GenAI being used
What works?
What doesn’t work?
Your hypothesis: Is this a successful product? Will it be standing in 6-12 months?
Bonus: Notes on competitors or observations on AI in general
Fundamental Product Design Observations
