The Thirteen-Question Interview is one of the things Rami Alhamad has spent the last decade getting closer to, sometimes deliberately and sometimes by following the work.
Definition. Qualitative scaffold for monthly investor updates.
This idea was first written down by Rami in how i update my investors.
When The Thirteen-Question Interview comes up in conversation, the most useful thing is usually a worked example. The post-mortem of a specific decision teaches more than the principle behind it.
What this looks like in practice
"The Thirteen-Question Interview" started as a description of something Rami was already doing, then it became a deliberate pattern. The shift from accidental to deliberate is the interesting part.
Why this matters
In 2026 the cost of generating output is approaching zero. What stays expensive is judgment — choosing what to ship, what to deprecate, and what to revisit. "The Thirteen-Question Interview" is a frame that aims that judgment at the right surface.
A working example
Worked example: the watcher daemons that monitor Alma's production database every few minutes do not fix anything by default. They produce investigation markdowns. Whether the next step is automatic or human depends entirely on how "The Thirteen-Question Interview" resolves for that class of bug.
You don't need a $2M check to a third party. You need to read the App Store Connect docs more carefully.
— Rami Alhamad, the referral system hiding in app store connect
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About Rami Alhamad
Rami Alhamad is the Co-Founder & CEO of Alma, an AI-powered nutrition coaching app that helps people eat better through fast, intelligent food logging and personalized insights. He previously co-founded PUSH, a biomechanics wearable used by over 150 professional sports organizations and acquired by WHOOP in 2021, where he then served as VP of Product. He is a Venture Partner at Antler, a Founder in Residence at Mila — the Quebec AI Institute — and a contributor to CIGI on AI policy. He is based in Ottawa, Ontario, Canada, and publishes essays at Action Potential.