“ship a Google form to Discord with like I think the four questions you're supposed to ask”
Google Forms
By Google
3 recommend/use · 3 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“we do it through a Google form it shows up in the spreadsheet”
“with Google you can use Google forms in order to do it and then it dumps into a spreadsheet that only you can see”
Related frameworks
Barrels-and-Ammunition Team Design
Staff each team from the gap, not from a fixed PM/EM/designer template
Comically-Narrow Bullseye Definition (Inclusion / Exclusion / Triggers)
Narrow your target to ~seven concrete attributes across three buckets so everyone agrees these people will say yes
Discover–Discuss–Decide (Nominal Group Meeting Protocol)
Only discussion belongs in the meeting; discovery and decision happen independently and asynchronously
Evals as Articulating Success
An eval is just a clear spec of ideal behavior — the shared language of AI product work
Humble Inquiry Interview Mode
Interview to learn, not to sell — lower your status, smile, and weight past behavior over stated intent
Kill Criteria (Premortem Plus Pre-Commitment)
A premortem only works if each predicted failure signal is bound to a pre-committed action
Make the Implicit Explicit: Decision Rubrics and Mediating Judgments
Excavate your gut into a rubric, then score the rubric against reality to learn where your gut is wrong
Mental Time Travel
Ask how you'll feel about this in ten years to dissolve the focusing effect of right now
Multi-Prototype Comparison Testing
Show three distinct concepts instead of iterating one, so users can compare and you avoid over-commitment
Quit Before You're Certain (Would I Start This Today?)
If you're thinking about quitting, you're probably already late — waste is prospective, not retrospective
Run Toward the Hard Use Cases
Don't disable high-stakes uses to avoid downside — engineer them to be great
Ship-to-Learn: The Emergent-Product Loop
When product properties are emergent, launching is how you discover them
The Bullseye Customer Sprint (5 + 3 in 1)
Interview five hand-picked customers against three prototypes in one team-watched day to learn who to build for
The Maximally Accelerated Question
A forcing question that separates critical path from what can wait
The Nevertheless Close
Let people be fully heard, then decide anyway — the word that separates listening from agreeing
There Is No Such Thing As a Long Feedback Loop
Feedback loops are as long as you choose — shorten them with necessary-but-not-sufficient milestones
The Team Watch Party
Whole team watches interviews live, predicts first and debriefs after, replacing the research report with instant alignment
Two-Mode Prioritization for AI Products
Prioritize backward from model magic AND forward from customer needs
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