Based on Garry Tan's office-hours frameworkGrade D
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Before

AI로 레스토랑 예약하는 앱

After

D

AI-powered restaurant reservation app for busy office workers in Gangnam who need same-day lunch reservations at premium restaurants. Start with 5 high-end restaurants that currently don't take online reservations and charge restaurants a booking fee to reduce no-shows through AI-powered customer screening.

Per-question score table

Q1

Who is this for, very specifically?

Needs a sharper customer, proof point, and next test.

Moderate
Q2

What pain are they paying for today?

Needs a sharper customer, proof point, and next test.

Moderate
Q3

Why now? What changed in the world?

Needs a sharper customer, proof point, and next test.

Moderate
Q4

What's the V1 you can build in 4 weeks?

Needs a sharper customer, proof point, and next test.

Weak
Q5

How will you reach the first 100 users?

Needs a sharper customer, proof point, and next test.

Weak
Q6

What does success look like at month 6?

Needs a sharper customer, proof point, and next test.

Weak

Homework

Three concrete next steps before you run the next session.

  • 1Call 10 Gangnam restaurants this week and ask if they'd pay for an AI booking system
  • 2Interview 5 busy office workers about their last restaurant reservation experience and what frustrated them
  • 3Research why Google Duplex restaurant reservations failed and document 3 specific lessons

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