“Go to work os.com to make your app enterprise ready today.”
WorkOS
By WorkOS, Inc.
28 recommend/use · 37 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“Work OS allows you to build faster with delightful APIs, comprehensive docs, and a smooth developer experience.”
“Visit workos.com to get started or just hit up their Slack where they have actual engineers waiting to answer your questions.”
“Go to work os.com to make your app enterprise ready today.”
“This episode is brought to you by our season's presenting sponsor, WorkOS.”
“This episode is brought to you by our season's presenting sponser WorkOS.”
“Go to works.com to make your app enterprise ready today.”
“Go to works.com to make your app enterprise ready.”
“Go to workos.com to make your app enterprise-ready today.”
“Visit workos.com to get started or just hit up their Slack where they have actual engineers waiting to answer your questions.”
“Go to workos.com to make your app enterprise ready today.”
“Visit workos.com to get started or just hit up their Slack where they have actual engineers waiting to answer your questions.”
“Visit workos.com to get started or just hit up their Slack support”
“The answer is they're all powered by today's sponsor, Work OS.”
“The answer is they're all powered by today's sponsor, Work OS.”
“Visit workos.com to get started or just hit up their Slack support where they have real engineers”
“work OS is the fastest path to becoming enterprise ready and unlocking growth.”
“Work OS turns those deal blockers into drop-in APIs with a modern developer platform built specifically for B2B SAS.”
“you should consider work OS.”
“you should consider work OS.”
“you should consider work OS it's a drop-in replacement for op zero”
“Check it out at workos.com to learn more.”
“you should consider work OS”
“you should consider work OS it's a drop-in replacement for azero and supports up to 1 million monthly active users for free”
“you should consider work OS it's a drop-in replacement for ozero”
“it's completely free since it's hosted by work OS”
“you should consider work OS it's a dropin replacement for azero”
“you should consider workos it's a dropin replacement for azero”
“you should consider work OS”
“you should consider WorkOS. It's a drop-in replacement for Auth0 and supports up to 1 million monthly active users for free.”
“you should consider work OS it's a drop-in replacement for ozero and supports up to 1 million monthly active users for free”
“you should consider work OS it's a dropin replacement for azero”
“you should consider work OS it's a drop-in replacement for azero”
“that's where work OS comes in making it fast and painless to add Enterprise features to your app”
“This episode is brought to you by WorkOS.”
“this episode is brought to you by work OS”
“this episode is brought to you by work OS”
Related frameworks
Abundance Engineering: Fun, Energy, and the Paper Audit
Deliberately manufacture an abundant mindset by reframing for fun, scheduling for energy, and journaling the triggers.
Adversarial Dogfooding Loop
Force all your work through your own product even when it's the wrong tool, so it becomes the right tool
AI-First Product Leadership: Hold the Paddles
If AI steers your product, the product leader must own the objective, features, data and infra.
Autonomy as Selfish Leadership
Let people bring themselves to the work; you trade a little visibility for higher velocity, morale, and results.
Avoidance Reversal
Whatever emotion you avoid, you invite — in exactly the way you avoid it. Backward-engineer any problem.
Backwards From the Peak: Ambition Set by Potential, Not by Numbers
Derive goals from what the thing could be, then work backwards; today's numbers are not the anchor.
Bad vs Sad Quality Tiers
Classify every failure as bad (irrecoverable) or sad (recoverable pain) so teams triage quality across many surfaces.
Be the Historian
Systematically reconstruct why past decisions were made so you inherit the lessons and see the baggage.
Betterment Over Perfection (The Painful-Gap Method)
Don't craft a perfect strategy — close your single most painful gap, then the next, forever.
Bias Interrupters for Introvert-Safe Decisions
Design meetings so the loudest 20% can't take 80% of the air — vote offline, then go round the circle.
Build-and-Bake: Ship the Same Feature Until the Model Catches Up
Prototype ambitious features now, let them sit, and re-release the same shape each time models leap
Builder vs. Information Mover
Diagnose which half of your role AI kills and which half it supercharges.
Build for Day 365 Retention
The most valuable companies have the highest one-year retention — engineer for it using early social signals
Build for the Current Model, Prototype for the Next
Elicit max capability from today's model while pre-building the products the next model will unlock
Build It Wrong Before You Know It's Right
Use AI to test a hundred ideas a day as a failure machine, not to polish one idea for three months
Build-With-The-Tools Assessment
Don't test people on doing work without AI — hand them the tools and score what they can build in an hour
Build Your Own Senior-Engineer Benchmark
Measure AI honestly by scoring new models against real human experts rewriting your actual broken work.
Build Zero-to-One in the Dark
Inside a big company, new products die of attention. Ask for less scrutiny, fewer resources, and room to fail.
Capability-Value-Scale Software Maturity
New software passes through three stages — what's possible, then what's valuable, then what scales
Clear-Goal Ambiguity Cut
Because general LLMs can do anything, a sharp key-user + problem + use-case triad is what rules approaches out
Compelling Reason to Buy (Not to Sell)
In the bowling alley it is never about you — close the laptop and collect problem domain knowledge.
Conjecture-Driven Learning (Collecting and Connecting Dots)
Don't consume content — generate a conjecture, then hunt across every field for proof of it.
Conversation as Ping-Pong (Give-to-Get)
Index toward asking questions, but hit the ball back and forth instead of interrogating or monologuing.
Conviction-Over-Demand Career Navigation
Stop chasing the most in-demand role; chase the conviction where you can make a dent and learn.
Crossing the Chasm from Fear to Joy
Reinvent yourself by manufacturing one small moment of building joy, not by studying harder.
Daily Experiments With the Inner Critic
Stop fighting the critical voice in your head. Run a new response experiment on it every day.
Decide-Today Runway Math
Cost cuts only buy runway if you make them now; every month you wait permanently destroys optionality
Deep Work vs. Ping-Pong Day Design
Split every day into deep work and reactive time, and refuse to open Slack before noon.
Depth Without Stomping
Go deep on the details of the business, then course-correct by seeding hypotheses instead of overruling.
Design Capabilities So Rivals Say 'Life's Too Short'
Build capabilities and systems so nuanced that imitators choose a different battlefield instead of copying you.
Designing Robots That Feel Non-Threatening
Make robots soft, attentive, and telegraph intent before they move.
Design Your Day (Calendar as Canvas + Groundhog Day Iteration)
Draw the day you want on the calendar, run it, see what actually happened, adjust, repeat
Detune Precision by Time Horizon
The shorter the horizon, the more detail; keep long-range plans deliberately hazy to avoid false precision
Dictate-and-Template AI Story Scaling
Prime ChatGPT with your team's exact template, then dictate context naturally to generate an org's worth of specs.
Difficult Personality Protocol: Drivers and Gratitude
Reverse-engineer what a difficult person cares about, then reframe frustration into what you can learn from them.
Distribution Beats a Commodity Product
When products in a category are basically interchangeable, an adequate product with superior distribution wins
Distribution-First Moat
Solve distribution before you obsess over product-market fit; it is the harder, more durable edge.
Dive-In Career Strategy for a Platform Shift
Facing a disruptive technology, submerge yourself in it and aim to hold at least two of three career pillars
Diverge-Then-Converge Roadmap Reset
On a platform shift: drop the roadmap, keep the objective, let teams go crazy, then pick 4-5 bets.
Do It End-to-End Before You Hire For It
If the core team can't crack a function once, a new hire won't rescue it.
Dollar-Driven Discovery
Test the dollar potential of a hypothesis, not just whether customers 'like' the idea
Dress to Signal Effort, Not Expense
Fit beats brand, dress one level up, and ask when you don't know the code.
Elastic-Demand Career Bet
Invest in domains where making people 10x more productive increases demand rather than reducing it
Embrace the Imposter: Act Despite Expecting to Fail
Stop trying to feel confident; give yourself permission to fail and take the shot anyway.
Emotional Fluidity (Emotional Inquiry)
Unkink the hose: welcome, feel and physically express emotions instead of managing them.
Empathize-Then-Invent (The Stories Method)
Listen deeply to users for hours, then build something new — never the literal feature they asked for.
Engineering the Creative Peak
Single-shot coffee, a two-hour deadline, and a good night's sleep — dial in the state, not just the effort.
Enterprise Land Price Floor (Defendable ACV)
Land enterprise deals at 75K-150K — a cheap land price poisons your expand.
Equally Disappoint Everyone
In your power years, prioritize by spreading disappointment evenly to protect time for reinvention.
Exponential Bet Allocation
If AI is your core value, shift the growth portfolio from micro-optimizations to large bets
Exposure Hours
Build taste as a trainable skill by quantifying time spent watching real people use products
Exposure Time for Taste
Deliberately spend more time learning than building to develop the judgment AI can't give you.
Fear-to-Agency Reframe
When AI change triggers fear, lean in and ask what's within your control — turn it happening to you into happening for you.
Find the Cocktail Party
To reinvent social, find where the cocktail party wants to happen and make it rowdy and socially productive
First-Call Yes-or-No Qualification
On the first call it's yes or no, never maybe — a no is data that saves the relationship.
Five Principles to Live By
Build, test and refine five simple principles — then decisions get made automatically.
Five-Star Meetings
Make every meeting one people love leaving. The ones that stay bad are a map of your company's real problems.
Fixed Time, Variable Scope (Appetite-Based Planning)
Set the max time you'll spend first, then design a solution that fits it — instead of estimating a concept.
Follow the Heat
The company's pressure point moves stage by stage; staff it as it moves.
Follow the Pull
Bet your career on the thing you enjoy, are good at, and others value — even if it's not the plan.
Founder-Mode Navigation: Objective Behind the Ask
Treat the founder as a lever, and every founder directive as a mechanism hiding an objective.
Framing (Setting the Boundaries)
Narrow a fuzzy request down to the specific problem worth solving before you design any solution.
Friction Smells: Signs Your Team Can Move Faster
The tell-tale signals that friction, not capability, is capping your team's speed
Frozen Competence: Where Human Value Survives
Models commoditize yesterday's competence; your value is using that cheap competence to make something new.
Fundamentally Different, Not Incrementally Better
Only a fundamentally different experience gets customers to tell their friends about it.
Give-It-Away Growth Engine
Reclassify free product and AI costs as marketing spend, then give the product away to your best distributors
Growth Is a Game of Inches
Don't chase the step function. Ship 20 bets at 20% instead of 4 perfect ones — then raise the hit rate.
Harder Is Easier (The Figure-It-Out Principle)
Commit to the costly right thing up front, and the trust it earns makes everything else easier.
Hard Feedback, Both Directions
Receive: feel it, don't react, come back curious. Give: state the care out loud, then be direct about perception.
High Agency, High Accountability
Pair the freedom to solve problems your own way with clear ownership of the hypothesis and the outcome.
Hire a Founder-Cosplayer, Not a Salesperson
For the first enterprise rep, hire someone who can cosplay the founder — vision, not scripts.
Hire for Clarity-from-Chaos
Screen for fire-in-the-belly, high agency, and the ability to create clarity out of chaos — proven by work trials
Hire Yourself First (Build in Public)
Do the job professionally in public before anyone hires you — then the hire is just changing the vehicle.
Humor as a Calibrated Mastery Signal
A joke landed right up the line proves you own the room; keep a ranked joke file to do it on demand.
Hypothesis-First Customer Discovery
Bring a crisp hypothesis to the interview — then be its judge, not its lawyer.
Intuition as Hypothesis Generator
Treat product taste as a hypothesis machine, not an oracle — then debate it down to a working hypothesis
Irreducible Complexity — The Simplicity Audit
1 + 1 = 1.5, not 3 — every addition subtracts, so audit the system, not the local decisions
Jobs-to-Be-Done Agent Mapping
Bring order to AI chaos by listing every stakeholder's jobs-to-be-done, then mapping agents onto them.
Just-in-Time Planning
Shrink long roadmaps to a lightweight monthly priority list and grant explicit permission to kill dead processes.
Kill Hope Before Hope Kills You
Separate belief from hope, and refuse to launch until you're collecting winnings instead of making bets
Label the Process Stage, Not the Polish
A production-looking prototype no longer means it's production-ready — say the stage out loud
Laser Mode: Engineering Speed Bumps Against Distraction
Willpower never wins. Move the candy further away than the sandwich.
Latent Demand Mining
Watch for people jumping through hoops to make your product do something, then make that the smooth path.
Leader Dogfooding for Product Pulse
Live and breathe your product as a real user (or meet customers) and trust the anecdote over the dashboard.
Leading a Team Through Crisis
Radical transparency plus generosity-first equity keeps your best people through the storm that needs them most
Lean Into Your Spike
In the AI era, double down on your unfair advantage and stack disciplines to become a unicorn
Learn the Tokens, Not the Depth
In the AI era, master the symbolic vocabulary of a domain rather than its exhaustive depth
Live Shaping Session
Put product, a senior engineer, and a designer in a room to sketch and break ideas until one is clearly buildable in the appetite.
Maintain Noise in the Market
Ship every day and talk about it constantly so the product feels alive — with tiered big launches on top
Make Everyone a CEO
Give people a real hill to take with operating control so they do the right thing when you're not in the room
Make Time: Highlight, Laser, Energize, Reflect
A daily four-step loop that changes your defaults instead of making you faster at the wrong things
Manager-as-IC Onboarding
New managers ship as individual contributors first — and keep doing it — before and while they manage people.
Manager Visibility via an Always-On Agent
Enlist a standing AI session across all repos and channels to stay on top of 8x throughput and drive conversations.
Marketing's Reversibility Advantage: Try Everything, Make Noise
Product changes are near-permanent; marketing changes cost nothing, so experiment relentlessly.
Match the Medium to the Point
When implementation is cheap, the skill is choosing document vs prototype for the point you're making
Minimum Lovable Product
Viability is no longer enough — the bar is a product people love and want to talk about
Mission-Above-Product Prioritization
Route every cross-org tradeoff through a single shared mission so decisions are fast and everyone stands behind them
Mission Drive Audit
Prove you're mission-driven by showing you cannot profit except by achieving the mission.
Mission-Protective Provisions Playbook
Lock in founder and mission protections now, while you still have the leverage to do it.
Model Introspection Harness Repair
When an AI agent misbehaves, ask it why — its explanation reveals the harness gap to fix
Nine Nos For Every Yes
Guard product quality with creative restraint — every feature you say yes to is a puppy you must care for forever
Obsolete Yourself
Treat every repeatable thing you do as something to replace with software or an agent.
Off-the-Shelf to Prove It, Custom to Ship It
Prototype with whatever works fastest; go custom only when KPIs demand it.
Output-Toward-Outcome Measurement
Don't forsake motion for progress — keep asking whether the metric you climb still serves the outcome.
Own-the-Framing Design Partnerships
Design partners guide the build — set the pricing frame up front and filter feedback 80/20.
Parallel Draft Divergence
Start one idea 4-5 times in parallel, each with more precision, then pick the obvious winner.
Patient-Then-Floor-It Hiring
Be obsessively patient hiring the founding team; step on the gas the moment demand exceeds what you can handle
PM Your Career Like You PM Your Product
Write a spec for your career: destination, metrics, milestones, and a measuring stick for every offer.
Portfolio Hiring: Range Over Style
Hire designers on portfolio alone; wide range proves a designer, a signature style reveals an artist.
Positive Delusion, Bounded by Learning
Assume everything is possible until proven wrong — but keep learning what's actually possible.
Practitioner-Sourced Wisdom
The best advice comes from people on the ground doing the thing — not from pontificators.
Prescriptive vs. Framework Metrics
Know whether your metric is a recipe or a lens — and never misuse a recipe
Presume Radical Uncertainty (The 1997 Lens)
Treat an emerging platform as if it were 1997 for the internet: assume most of it doesn't work and you can't yet name the winners
Price-Elasticity Three-Response Model
When a technology makes something cheaper, work out which of three demand responses your market will take
Prime-Then-Parallelize AI Coding Workflow
Front-load the architecture, fan out to agents, then step back and evaluate
Product-First AI Prompting
Steer AI builders by describing the end-user experience ambitiously, then iterate like you're coaching a collaborator
Product Scrapbooking
Continuously file every real-world clue about every opportunity so it's ready when the roadmap arrives.
Proven Better New
Master the proven, add a verifiable better, gamble one risky new — to stack the odds a product wins
Pull-Based Product-Market Fit
Be stubborn on your thesis but open on its form — chase the customer who is surprisingly easy to sell, not the one you must force
Pull, Not Praise: Reading Real Product-Market Fit Signals
Judge customer calls by the questions they ask, not the compliments they give.
Quality, Features, Deadline — Choose Two
Every launch drops one of three; software lets you drop quality only if you plan to earn it back
Question the Assumption
Every problem rests on hidden assumptions. Surface them and the problem often dissolves.
Raise Your Happiness Baseline
Big events only move you temporarily — the real lever is lifting the baseline you always return to.
Reading a Market Through ARPU and Profit Pools
ARPU is capped by per-capita income; a country's profit pools reveal what it actually values.
Reading the Invisible Language of the To/CC Line
Recipient order, To vs CC, and reply order all send signals people quietly read.
Reflect: The Daily Experiment Loop
Treat each day as an experiment you ran, not a gravestone of success or failure
Reframe Metrics to Leadership's Language
Pick two or three metrics that speak the exact word your leaders keep repeating
Reframe Self-Promotion as Education
You make the light bulb but you sell light. Rename the act and the resistance disappears.
Reset Expectations + Slow Your Inbox
Announce a slower response cadence with a 'because', then actually slow the hamster wheel
Ride the Models
Stay valuable in AI by playfully applying each new model to your own work and re-testing what it couldn't do before.
Right Robot for the Job (Not a Generalist Humanoid)
Match robot form to the task; reserve humanoids for the long tail, not the line.
RLAIF Reward Design
Have an expert define success criteria and a rubric once, then let AI reinforce the capability — more scalable than labeling examples
Scheduling by Deference
The one asking does the work: let the busier person set the time, and give real options.
Seek To Not Be Needed, But Be Valuable
Build a self-reliant team that's resilient to chaos by systematically removing yourself as a dependency.
Sell the Alpha (Gap Selling vs Problem Selling)
Sell leaders the opportunity to become a superhero, not a fix for a narrow problem.
Services-First Foot-in-the-Door
Sell enterprises a service they already know how to buy, then migrate them to the product.
Ship-in-Research-Preview Speed Loop
Cut idea-to-user time from months to a week by branding launches as previews and pre-wiring the launch chain
Show Me the Apparatus Test
A value is only real if there's an expensive apparatus that enforces it every time, no exceptions.
Simple, Novel, Emotional: The Shareability Formula
Make it simple, make it show something new, make it feel something — then cut the cleverness.
Small-Pond ICP Narrowing
Constrain your first ICP so tightly that customers talk to each other — then let word of mouth light the fire.
Software Is Not a Moat
Any feature you ship can be cloned; build ecosystems, platforms, and hardware that can't be copied.
Spec-as-What-Good-Looks-Like Verification
Check your definition of good into the repo so AI code review can automatically validate work against it.
Spiritual Holding Company (Mission Guardian Selection)
Give the mission its own sovereignty by appointing a renewable guardian that outlives any founder.
Start Embarrassingly Small
The more ambitious you are, the humbler your starting point should be — begin at 1,000 feet, not 100,000
Stay Close to the Metal
The best product CEOs micromanage the pixel-level details and are the first and last mile of the product
Steering AI to a Non-Obvious Strategy
AI gives predictable strategy when asked lazily — enumerate every input first, then make it argue back
Strategic Friction
Add friction that helps a user understand why the product is for them; cut friction that doesn't
Street-Smart Decision-Making
Give the customer's perception as much weight as your logic — model the narrative, not just the numbers.
Summarize, Checkpoint, One Click Better
Manufacture strategic thinking in real time by synthesizing the room, then improving the idea one click.
Super Agent With a Forward-Deployed Human
Give the whole company one shared agent, owned by a human who keeps it working — not personal agents for everyone.
Supply-Chain Criticality Hierarchy
Rank every component by how catastrophic losing it is — then pre-buy the killers.
Task vs. Job Automation Test
Before predicting a role's automation, ask whether the automatable task IS the job or just one piece of it
Teaching Hospital and Tech Assistant
Transfer your product instincts by working in the open and cloning a shadow who becomes a mini-you
The 100%-or-Nothing Automation Rule
An automation that works 95% of the time isn't an automation — push it to 100% or don't rely on it
The 10% More Enjoyment Test
Enjoyment is a measure of efficiency. Enjoy the work 10% more and you are 10% more efficient.
The 11 Zero-Day Marketing Exploits
Eleven recurring meta-patterns for engineering an unfair go-to-market advantage.
The 30-60-90 Day Landing Plan
Listen for 30, align for 30, execute for 30 — and negotiate the listening time with your manager up front.
The 4x4 Debugging Framework
Four escalating ways to unstick a broken build, each tried exactly once, ending by teaching the agent.
The 51-49 Decision Rule
When options are near-even, just pick one fast — more data won't meaningfully improve a close call.
The 70% Decision, Reward the Learning
Commit at 70% confidence with an explicit hypothesis, then iterate — and reward learning, not outcomes.
The 7-Minute Felt Gratitude Practice
Seven minutes of felt (not listed) gratitude with another person daily — then aim it at where you feel lack.
The 95/5 Growth Inversion
In fast-moving AI markets, spend 95% inventing new growth loops and 5% optimizing existing ones
The Absurd-Scenario Interview (Screening for Second-Order Thinking)
Pose an impossible hypothetical and grade the chain of consequences, not the answer.
The AI-Document Slop Test
An AI-written document is fine — as long as you can stand behind every line and it took longer to make than to read.
The AI Expertise Layer
Don't outsource all AI to foundation models — keep expertise and measurement to break the quality glass ceiling.
The Apex Survivor Model (Metabolism, Conversion, Adaptation)
Species that lasted 100M years share three traits — run your company on the same three.
The Attributed Influencer Launch Sequence
Stagger tracked influencer shares over days, then weaponize the leaderboard.
The Automatable Growth Loop (CACHE)
Break growth experimentation into four evaluable stages an AI can hill-climb, keeping humans on alignment
The Beachhead Segment Formula
Pick a first market that is big enough to matter, small enough to lead, and fits your crown jewels.
The Bowling Alley Adjacency Expansion
Grow segment by segment along adjacencies — same customer new use case, or same use case new customer.
The Business-Meal Deference Protocol
Order middle-to-last, never the priciest dish, always offer to pay, and keep your tip invisible.
The Carve-Out Cohort Turnaround
To fix a load-bearing product, secede from the metrics system with a small randomized cohort.
The Chasm Positioning Formula
Technology leaders who have specialised and committed to THIS problem — respect the incumbent, outclass the peers.
The Circuit Breaker (Back to Shaping)
When a project overruns its appetite, don't extend it or gut the agreed value — pull it back into shaping mode.
The Coherent Strategy Specificity Test
A strategy is not an aspiration — it names a specific customer, pain, solution and advantage in one sentence.
The Conversion-Funnel Cold Email
Treat a cold email like a growth funnel: open, then read, then reply — optimize each stage separately
The Culture Bank (Todd Park's Deposit Rule)
Treat trustworthiness as an asset: only ever make deposits, never intentionally make a withdrawal.
The Curator Leader (Not the Visionary)
The best product leaders don't own the ideas — they build environments where great ideas bubble up and get chosen
The Daily Highlight
Pick the one thing you want to name as today's highlight, size it to 60-90 minutes, write it down
The Delta 4 Framework
Score old vs new solution out of 10; if the efficiency gap isn't 4+, the product won't stick.
The Design-Partner Pod Model
Give each cross-functional pod 6-12 real customers to co-build with, so features ship pre-validated.
The Detail Dial
Calibrate how prescriptive a shaped plan is to the builder's seniority — more detail lifts juniors, less frees seniors.
The DevX Listening Tour
Before you build a tool, walk developers through their yesterday
The Dummy Explanation (Escape Your Bubble)
Write every message as if the reader knows nothing about you, your product, or your market.
The Escape Hatch Principle
Abstractions should let power users drop to raw control when the model doesn't fit their problem
The Five-Day Design Sprint
Go from zero to a tested prototype in five days — decide with customer reactions, not hunches
The Forgotten-Name Recovery Playbook
Tactical moves to survive not remembering names or whether you've met someone before.
The Four Go-To-Market Playbooks
Early Market, Bowling Alley, Tornado, Main Street — each has its own playbook, and mixing them backfires.
The Four Levels of Product-Market Fit
Sequence PMF as four levels, optimizing satisfaction, then demand, then efficiency in turn
The Four Principles of Building Hardware Fast
Sequence the work so hardware's un-updatable, one-shot nature can't sink you.
The Four Ps of Pivoting
Persona, Problem, Promise, Product — the four levers to change when you're stuck
The Fresh-Start Test
Ask 'if I started today, would I do this?' — and if the answer is different, change now, not next life
The Friction Commitment Test
Deliberately make the next step hard to filter for buyers who truly want it.
The Frictionless Seven-Step DevX Program
A start-anywhere playbook to stand up a developer-experience initiative
The Friend-Zone Test
Sit customers down and force the truth: do you need me, or do you just like me?
The IC Compensation Anchor
Believe your IC worth, then neutralize the 'grow into management' pay dodge by naming your non-management intent up front.
The Influence-Graph Fanboy Loop
Run PageRank on your community's network, then approach the central nodes for feedback — not distribution
The In-Product Feedback Loop
Stream user reactions straight into your team's consciousness by building feedback into the product itself
The Internal-Signal Quality Bar
It's done when it makes YOU laugh or tear up — not when someone else approves it.
The 'Just Evil Enough' Ethics Test
An Occam's-razor line between subversive-and-clever and actually evil.
The Learning-Impact Ladder
Alternate between roles where you have mastery and roles where you're the newbie — zigzag, don't climb.
The Lindy Commitment Test
However long you've sustained something is roughly how much longer you can trust it to last.
The Loonshots Two-Structure Organization
Run a big rigorous org and a tiny flat innovation team side by side; the leader's job is the bridge.
The Low-Heart-Rate Abundance Posture
Enter high-stakes rooms calm by treating every meeting as one of many, not your one shot.
The Low-Trust Market Playbook
In low-trust markets, trust concentrates — so focus becomes a curse and the super app wins.
The Marquee Customer and the 10th Executive Sponsor
Before you cross the chasm, win one famous logo — by finding the one exec in ten who wants to leapfrog.
The Nine-Scopes Kickoff
At kickoff, have the builders translate the shaped idea into nine-or-fewer implementation chunks to test scope and build clarity.
The Non-Fatal Override
If it isn't fatal, let them run it — but log your skepticism first so the outcome teaches both of you
The Owner-Not-Renter Veto
How a PM says 'not yet' to an executive chain that desperately wants to scale.
The Pivot Decision Algorithm
Five ordered gates — problem, assets, energy, team, capital — that decide whether to pivot or shut down after losing PMF
The PM Framework Wrapper
A PM's real output is a framework that wraps strategy plus a point of view — and gets everyone to the same destination
The Pod + Product Staff Team Model
Replace the 13-person specialist team with a 6-person generalist pod plus one summoned specialist
The Product-Adjacent Inroad
Break into PM by moving internally from a product-adjacent function, trading domain knowledge for the role.
The Product-Market Fit Treadmill
In AI, you must recapture product-market fit every three months as both product and market shift under you
The Reach Test
Judge whether an AI tool is truly useful by whether you reach for it unprompted each morning.
The Recon Canvas
An 18-square grid for scanning product, medium, and market for subversive openings.
The Relentless Iteration Loop
Read-through, add, repeat 50-100 times, set aside, return — then hand to editors. That's the secret.
The Research Coordinator Role
Borrow the recruiting-coordinator role to schedule all customer research, so PMs never lose time to logistics.
The Scheduled AI Chief of Staff
Put proactive agents on a schedule to watch your metrics, surface misalignment, and coach you weekly
The Sean Ellis Scale Gate
Never scale a product until a calibrated share of users would be 'very disappointed' without it.
The Skip — Plan the Move After Next
Optimize career decisions for the job two moves out, not the next job.
The SMB-or-Enterprise Binary (Mid-Market Doesn't Exist)
There is no mid-market — decide which of two distinct games you're playing and don't bleed them.
The Source-of-Truth PRD Cascade
Spend a day writing five layered docs so the agent, not you, carries the context on every build.
The SPACE Framework
Pick balanced developer productivity metrics across five dimensions — never rely on one.
The Spiral Method for Learning Fast
Chain expert-to-expert referrals until you hear only repeats — that's how you know you've hit the bullseye.
The Strategic Formula: Simple Why x Change Agent
Being seen as strategic = articulating a compelling, simple why AND championing big, hard ideas.
The Strategy Choice Cascade
Five interlocking questions that force a strategy into an integrated, reinforcing whole.
The Subversive Mindset (System Awareness → Novelty → Disagreeability)
Get a system to behave in a way its creators didn't intend, in three learnable steps.
The Three-Trait Hire Plus Two AI-Era Premiums
Grit, quick-learning, self-awareness get you hired anywhere — curiosity and putting yourself out there keep you relevant
The Top-Three Weighted DevX Survey
Force a top-three, weight by frequency, and never ask four questions at once
The Two-Bucket Controversial-Test Triage
Sort every risky experiment into a red-line 'never run' bucket or a 'run it if the return justifies the cringe' bucket
The Two-Crisis Triage
Classify every founder crisis as cash or product-market-fit, then run three diagnostic questions before acting
The Two Departments That Matter Test
Find the 1-2 departments whose 10x effort produces a 10x company outcome, then work there.
The Two-Week Deputization Rule
Under two engineering weeks, the engineer is the PM; over two weeks, the PM owns it
The Values-Obedience 2x2 (Krishna, Rama, and Founder Dharma)
Plot leaders on values x obedience to see who creates, who sustains, and who must never be hired.
The Value-State Test for Crossing the Chasm
VC money buys a change in your company's value state — you have crossed when you no longer need the next round.
The Why School (Training Second-Order Thinking)
One 'why' question per meal, answered the next day — how second-order thinking gets built.
Three-Legged Model Evaluation
Judge a model-harness combo with heavy usage, a trusted five-person taste panel, and ~10 sharp evals
Three Tenets: Can-Do, High Standards, Intensity
The three cultural tenets Foody credits for the fastest revenue ascent in history
Tier-One Logo First
Chase the Walmarts and Nvidias first — the market leaders are your real early adopters.
Token Budgets as a Trust-Proportional Resource
Kill the token-spend leaderboard; cap AI spend like any resource, sized to trust in someone's ROI judgment
Trapped Value and the 10% Capture Rule
Find the pool of value your technology unlocks — you keep roughly 10% of what you release.
Two Routes to Win: Differentiation or Low Cost
You must be the differentiated choice or the lowest-cost provider — anything in between gets bullied.
Value-Chain Eval
Before applying AI to your business, build a systematic test that measures how well it automates your core value chain
Value-Up-The-Stack Test
To find where the money accrues in a platform shift, test the infrastructure layer for network effects, differentiation, and pricing power
Vision-Strategy-Execution Split (and the Controversy Test)
Vision is the destination, strategy is an opinionated path — and a real strategy must be disagreeable
Volume-of-Ideas Design Velocity
Great ideas come from many ideas; build a high-velocity, no-gate, ego-free making-and-critique culture.
Want Over Should (Self-Discovery, Not Self-Improvement)
Replace shoulds with wants and experiments — self-improvement encodes 'I'm broken' and slows evolution.
We Might Be Wrong, But We Are Not Confused
Make being wrong cheap and being confused unacceptable, in both thought and execution.
When-It-Leaks Communications Pre-Mortem
At scale you can't test quietly — decide the message before you even know you want to launch
Write What You Repeat
If you say it more than once, write it down — then get an accountability partner to enforce a monthly cadence.
You Only Get to Compile Five Times
Treat every hardware build as one of a handful of irreversible compiles a year.
Zero-to-One Team Building
For brand-new categories, hire generalists, adjacent-domain experts, and AI-native new grads.
Zone Defense for Product Work
Spread taste-makers out to cover the whole field instead of clustering on the same problem
People in these episodes
- Adam Mosseri
- Alistair Croll
- Amol Avasare
- Andrew Ambrosino
- Anneka Gupta
- Brendan Foody
- Caitlin Kalinowski
- Cat Wu
- Dan Shipper
- Deb Liu
- Dylan Field
- Eilon Reshef
- Elena Verna
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- Nicole Forsgren
- Nikhyl Singhal
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- Uri Levine
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