“probably things like high output management or the design of everyday things”
The Design of Everyday Things
By Don Norman
4 recommend/use · 4 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“the second book I think for product folks is is a classic one which is the design of everyday things by Don Norman.”
“the one book that I recommend the most is uh the Design of Everyday Things by Don Norman”
“the one book I I recommend because I truly it really changed the way I think about things”
Related frameworks
Barrels-and-Ammunition Team Design
Staff each team from the gap, not from a fixed PM/EM/designer template
Deadlines as P-Zero
Have few deadlines, but make each one a P0 that nothing else can touch — and cut scope to hit it
Emotional Discovery: Feel Bad Like the Customer
On customer calls, dig until you feel the exact emotion the customer wants to avoid, then build to remove it
Evals as Articulating Success
An eval is just a clear spec of ideal behavior — the shared language of AI product work
Growth Team as a Rigor Forcing Function
Hire a growth leader early — the second-order effect is that it exposes everything you haven't measured.
Interview as Discovery: Be the Solution to Their Burning Problem
Treat a job interview like product discovery — find the hiring manager's burning problem and position yourself as its solution
Minimum Viable Experiment + The Dogfood Gate
Ship the cheapest version of an experiment — but use it yourself before you trust its null result
Optimize for Learning: The Impedance-Match Career Test
Choose roles by where you'll learn most and whether the mission truly matches how humans are wired.
Optimize the Second Screen (Post-Click Leverage)
Everyone crowds the ad; the compounding wins sit on the page people land on after it
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
Systematized Creativity by Extremes
Build the most extreme version along one attribute, feel it, repeat in the opposite direction, then find where they meet
Systems-First Scaling (One to 100)
Once you have product-market fit, go slow to go fast: build the systems before you hyperscale.
The 10% Working-Version Rule
Have a testable working version by the time 10% of your time budget elapses, not at the halfway point
The AI Startup Moat: Data Flywheel + Crafted Workflow
Defensibility for AI apps comes from a proprietary data flywheel and a deeply crafted vertical workflow.
The A-Side / B-Side Career Ledger
Track the failures between your highlights so setbacks read as moments, not verdicts
The Double Triangle: PM as Go-To-Market Discipline
Sit the PM between two triangles — build (eng/product/design) and sell (sales/marketing/PM) — and originate the customer's language
The Five PM Archetypes
Hire and compose product teams by five distinct thinking styles, not one generic ideal PM.
The Maximally Accelerated Question
A forcing question that separates critical path from what can wait
The Middle-Manager Reporting Veto
Automatically say no to customization features that ease manager reporting at the cost of IC workflow
The Painful-Mistake Growth-Mindset Interview
Screen only for growth mindset by asking for the most painful mistake and what changed because of it.
The Say-Do-Said Loop
Say you'll do the thing, say you're doing it, say you did it — to align, adjust, and close the loop.
The Six-Month Autonomy Razor
If you're still telling a hire what to do six months in, you hired the wrong person.
The Unique Voice Test
Ask of every line: could any other company have written this? If yes, rewrite it
The World-Class Proof Interview
Two questions: why here, and what are you world-class at — plus how do you know?
The Zero-CAC Consumer Subscription Engine
Mission, no paid ads, retention-as-value, and data rigor — why Duolingo survived where B2C subs die
Treat the World as One Market
Default to one global version; localize only where law or platform forces you to
Two-Mode Prioritization for AI Products
Prioritize backward from model magic AND forward from customer needs
People in these episodes
Related resources
- A Fire Upon the Deep
- ActionKit
- Airbnb
- Airtable
- Amazon
- Andreessen Horowitz
- Anthropic
- Apple
- Apple Podcasts
- Bo Burnham: Inside
- Bolt
- ChatGPT
- ChatGPT Enterprise
- Claude 3.5
- Coinbase
- Conductor
- Contentsquare
- Crossing the Chasm
- Cursor
- Custom GPTs
- DALL-E
- Discord
- Disney
- Dropbox
- Duolingo
- Duolingo for Schools
- Endeavor
- Facebook Messenger
- Facebook News Feed
- Figma
- Flickr
- Gong
- Google Ads
- Google Analytics
- Google Docs
- Google Drive
- Google Forms
- GPT-4
- GPT-4o
- GPT-5
- GPTs
- Granola
- HBO
- Her
- Hex
- High Output Management
- How To with John Wilson
- Instacart
- Jira
- Jira Product Discovery
- Latitud
- Lenny's Newsletter
- Lenny's Podcast
- Lenny's Podcast website
- Levels
- Linear
- Lovable
- Man's Search for Meaning
- Mercury
- Microsoft
- Microsoft Copilot
- Microsoft Teams
- Microsoft Windows
- Mike Bloomberg 2020 presidential campaign
- Mixpanel
- Mode
- Netflix
- Notion
- Nubank
- o3
- Oculus
- On Deck
- OpenAI
- Orkes
- Paragon
- Pomelo
- PostHog
- Pragmatic Institute
- Python
- Reed College
- Rich Communication Services
- Sakura Pigma Micron
- Sapiens
- Semrush
- Severance
- Sinch
- Slack
- South by Southwest
- Spotify
- Stanford d.school
- Stripe
- Succession
- The Diplomat
- The Linear Method
- The Rehearsal
- The Silk Roads
- The West Wing
- The White Lotus
- The Wire
- TikTok
- Tumblr
- Uber
- Uber Eats
- Uber Reserve
- Van Westendorp Price Sensitivity Meter
- Vanta
- Waymo
- Westworld
- Windsurf
- Wix Studio
- Yahoo
- YouTube
- Zapier
- Zoom
Spot an error or want this page removed? Request a correction or removal.