Google launched a $99 screenless wearable. What should Whoop or Garmin do next?
A wearable strategy case about how Fitbit Air changes the screenless category, and why competitors need to decide what business they are really in.
The Hard Parts of Product
AI makes execution faster and cheaper. Product judgment is knowing which problems deserve that speed.
Everyone Can Build. Judgment Is the Edge.
AI is changing product work. Prototypes are cheaper, workflows can be automated faster, and almost anyone can turn an idea into something that looks real. That raises the bar for judgment: seeing the right problem before you build the wrong solution. This site is for PMs, founders, operators, and builders developing product taste in the AI era.
Problems Explored
Every problem starts with friction you can recognize and a user you can name. A seller trying to close a quote. An employee ignoring a commute benefit. An user stuck in onboarding. A customer deciding whether to trust an AI answer. The goal is to practice product thinking, not just admire the prototype.
Your sellers are not slow. Your system is.
Your buyer is ready. Your seller is stuck. Can AI fix what happens after the close?
How do you scale a support team with AI without breaking customer trust?
The hard part of scaling support with AI is not building the Chatbot. It is rolling it out without spending the trust you cannot earn back.
You joined the app. Why can't you send money yet?
From the onboarding team's side, it worked. The user completed every step. They joined the platform. Only one thing is missing — they never sent money. Is that a success or a failure?
Why do enterprise commute benefits fail to become habits?
A marketplace problem about density, trust, employer sponsorship, habit loops, and why matching alone is not enough.
What if restaurants could prevent order chaos before dinner rush breaks the system?
A DoorDash-style marketplace problem about restaurant capacity, Dasher wait time, customer ETAs, and protecting trust when demand spikes.