
Choosing Velocity in a World of Speed (1)
The barrier to building has never been lower. Anyone can prototype, test, and ship by end of week. That's remarkable – and it creates a new problem. When everyone can build, the constraint isn't capability anymore. It's judgment.
This workshop is about the skill that separates fast teams from effective ones: forming hypotheses together.
Not feature requests. Not user stories. Shared, testable bets – "we believe X is true, for Y person, and we'll know we're right if Z happens." It's the step most teams skip, and it's where real alignment happens.
We'll also look honestly at what AI changes. It's exceptional at generating plausible answers. It's poor at knowing which question matters. Participants will practice using AI as a thinking partner while learning where human expertise – and cross-functional judgment – remains irreplaceable.
Participants will leave with:
• A working formula for writing testable hypotheses
• A practical method for using AI in early problem exploration
• One concrete change they can make to how their team works on Monday
Format: Short inputs, live AI exercises, and two hands-on practice rounds in cross-functional groups.
Audience: PMs, UX designers, developers – ideally mixed in the room.
The barrier to building has never been lower. Anyone can prototype, test, and ship by end of week. That's remarkable – and it creates a new problem. When everyone can build, the constraint isn't capability anymore. It's judgment.
This workshop is about the skill that separates fast teams from effective ones: forming hypotheses together.
Not feature requests. Not user stories. Shared, testable bets – "we believe X is true, for Y person, and we'll know we're right if Z happens." It's the step most teams skip, and it's where real alignment happens.
We'll also look honestly at what AI changes. It's exceptional at generating plausible answers. It's poor at knowing which question matters. Participants will practice using AI as a thinking partner while learning where human expertise – and cross-functional judgment – remains irreplaceable.
Participants will leave with:
• A working formula for writing testable hypotheses
• A practical method for using AI in early problem exploration
• One concrete change they can make to how their team works on Monday
Format: Short inputs, live AI exercises, and two hands-on practice rounds in cross-functional groups.
Audience: PMs, UX designers, developers – ideally mixed in the room.

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