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Adriel Frederick (Reddit, Lyft, Facebook)20 October 2022

Humanizing product development

7Frameworks
15Insights

Frameworks in this episode

Insights & moments

The myth-busts, hot takes, explainers, and tools worth keeping.

Myth Buster· 1

Myth Buster43:30

Growth Hacks Can't Save a Product With No Real Value

Adriel pushes back on the idea that you can growth-hack your way to lasting success. Hacks help get initial traction, but assuming they alone will work is disrespectful to users, who eventually catch on. The real work at Facebook was mundane and hard: make the product easy to find, easy to get into, and stupid easy to find your friends.

  • Hacks give outsized short-term impact but can only produce a one-hit wonder
  • Assuming hacks alone will work disrespects users, who catch on eventually
  • Without fundamental value, growth disappears after a few months
  • The durable wins were grinding on: easy to find the product, easy to get in, stupid easy to find friends

so if you don't have a product that's providing real fundamental value to people you can be a one-hit wonder

Adriel Frederick · 43:30

one make it easy to find the product number two make it easy to get into the product three stupid easy to find your friends

Adriel Frederick · 44:30
#growth#growth-hacking#facebook#retention

Hot Take· 3

Hot Take16:00

Diverse Teams Build Global Products Way Faster

Adriel argues that a globally diverse team lets you resolve product debates in 15 minutes that would otherwise take two weeks of user recruiting, because the team already contains the perspectives of the world. He also makes the case that diversity only sticks when a company recognizes concrete business value from it, not when it's done for PC or social-pressure reasons.

  • A diverse team can settle a design argument in 15 minutes vs. two weeks recruiting a user panel
  • Your teams should "look like the world" so you can build products the world will use
  • Diversity sticks only once the company recognizes concrete business value from it
  • Value-recognition drives retention, which drives easier recruiting

you gotta have your teams look like the world it just makes you so much faster

Adriel Frederick · 17:00

when you recognize that you get business value from it then it all of a sudden becomes something that you look out for

Adriel Frederick · 17:30
#diversity#team-building#product-management#growth
Hot Take21:00

Some Controversy Is Necessary — The Skill Is Spotting Valid Criticism

Adriel takes the contrarian view that you can't meaningfully change the world without disrupting some invested pattern of behavior, which guarantees conflict and press. The hard part is separating legitimate criticism from complaints that are really just about a power source being threatened.

  • Meaningful influence requires changing a behavior pattern someone is invested in
  • Conflict makes the best press stories, so controversy is part of the game
  • The hard skill is knowing which criticism is valid vs. displaced power
  • Example: little sympathy for medallion owners, but real, legitimate complaints about driver-pay structure

I don't think you're going to have any meaningful influence on the world without changing some pattern of behavior

Adriel Frederick · 21:00

the really hard part about dealing with this is understanding what criticism is valid and how much of it is just because a source of…

Adriel Frederick · 21:30
#product-management#controversy#press#lyft
Hot Take40:30

AI Can Help You Write the Paper — It Can't Write It For You

On AI fears, Adriel says current systems still seem like tools that need human guidance; even cutting-edge text and image generation lack real decision-making and judgment. Using a book report as an example, AI can help you write faster once you've chosen the topics, but it can't choose the topics your background and interests make compelling.

  • Cutting-edge models can fool you into thinking they're near-human, but lack judgment
  • AI systems still seem like tools that need human guidance to be useful
  • AI can speed up the writing once you've decided the topics
  • It can't choose the topics your own background and interests make compelling

there is a lack of decision making and judgment that I see coming out of them

Adriel Frederick · 41:00

you can help you write the paper faster for sure but it can't write the paper for you

Adriel Frederick · 41:00
#ai#judgment#future

Explainer· 4

Explainer35:30

Algorithms Need People to Make the Judgment Calls

Adriel's central lesson across Facebook and Lyft: algorithms optimize a given objective brilliantly but don't understand long-term effects, human reactions, or your intent for the product. A PM's job on ML-heavy products is to decide what the algorithm owns, what people own, and to design the human-computer interface that lets a person's strategic intent be amplified.

  • Techno-utopians believe you can just feed all data to an algorithm and it does the right thing
  • Algorithms miss long-term effects, human responses, and product intent
  • The PM's job is to divide responsibility between machine and human and set the decision framework
  • Give people the information and tools to make the strategic calls; let the algorithm amplify that intent

the algorithms don't understand a long-term effects often nor do they understand how people might respond to it nor do they understand your intent for…

Adriel Frederick · 35:30

when you are working on algorithmic heavy products your job is figuring out what the algorithm should be responsible for what people are responsible for

Adriel Frederick · 36:00
#ai#machine-learning#product-management#decision-making
Explainer38:00

Software (Including ML) Is Just a Screwdriver

Adriel frames all software, including machine learning, as a tool like a screwdriver — the design question is how much you build into the tool versus how much you leave to the person. ML is amazing at optimizing an objective but can't understand the constraints and strategic choices, which must always be decided by a person and then amplified across millions of decisions.

  • All software, including ML, is just a tool like a screwdriver
  • The design craft is deciding how much goes in the tool vs. left to the person
  • ML optimizes objectives but can't set constraints or strategic choices
  • Make the human decision intuitive, then let the algorithm amplify it across millions of decisions

all software in any form including ml is just a tool like a screwdriver

Adriel Frederick · 38:00
#ai#machine-learning#product-design#tools
Explainer49:00

Facebook's "10 Friends" Milestone Wasn't Magic — It Was a Rallying Cry

Adriel demystifies Facebook's famous activation milestone: there was nothing magical about the specific number or timeframe. Its brilliance was being memorable and communicable — a discrete number, a discrete time, and a graph everyone could rally around to cut past academic debate and galvanize the org.

  • The specific number and deadline weren't magic — the design and communication were
  • A concrete number + timeframe + shared graph is organizationally galvanizing
  • Zuck cut through the academic debate by just saying "10, 14 days, go"
  • One funny downside: a coded retention limit at 10 friends caused a kink in the retention-vs-friends graph

it's literally nothing magic about the number or the Deeds but basically it was a way of seeing like get people as many friends as…

Adriel Frederick · 49:30

at some point Zuck just said 10 14 days go

Adriel Frederick · 50:00
#growth#facebook#activation#metrics
Explainer51:30

Optimize for the Marginal User — and Go Watch the Worst Case

Adriel defines the marginal user as the person right on the cusp of taking the action you want. To find them, look for a country with high traffic but terrible conversion, then go to the extreme worst case — a user on a feature phone on EDGE far from a data center — because that user reveals everything wrong with the product. Crucially, data only hints where the problem is; you must go watch and talk to people to find the real, often orthogonal, cause.

  • The marginal user is the person just on the cusp of taking the action you want
  • Find them by looking for high-traffic, low-conversion segments
  • The worst-case user surfaces the full list of what's broken (language, country detection, latency)
  • Data alone won't give the answer — a real problem is often orthogonal to the funnel; go watch and talk to users

for me it's a person who is just on the cusp of taking the action you want to take

Adriel Frederick · 51:30

something I caution people against though is don't use the data alone to figure out who the marginal user is

Adriel Frederick · 52:30
#growth#user-research#facebook#product-management

Story· 3

Story13:00

Why Growing Up in Trinidad Reshaped Facebook Registration

Adriel describes how his upbringing in Trinidad and Tobago gave him a perspective most of tech lacked: the assumption that one phone number equals one device equals one person is simply false in much of the world. Prepaid numbers change constantly, dual-SIM phones were common, and expensive phones were often shared. He built that knowledge into Facebook's user acquisition and registration design.

  • Most colleagues assumed one phone number + one device = one person
  • Prepaid users' numbers change often; dual-SIM and shared phones were common
  • This insight shaped how Facebook designed phone-number handling in registration
  • Diversity of lived experience directly produced better global product design

people make an assumption that one phone number plus one device title one person and growing up in Trinidad I just knew that wasn't true

Adriel Frederick · 13:30
#growth#facebook#product-design#diversity
Story23:30

Driving 15 Minutes for Rick: Feeling the Problem Yourself

To understand driver complaints on Lyft, Adriel picked up shifts himself. He drove 15 minutes unpaid to reach an 80-year-old rider named Rick whose trip was only two minutes, then realized Rick had called because he'd had too much to drink and feared breaking his hip. The experience showed him the real value of the ride and exposed how driver pickup time wasn't reflected in Lyft's pricing structure.

  • Adriel drove real Lyft shifts to feel driver pain points firsthand
  • He drove 15 unpaid minutes to reach Rick for a two-minute trip
  • Rick had genuinely high need — too drunk, afraid of breaking a hip
  • The trip revealed that pickup/deadhead time wasn't compensated or priced in

so I went from wanting to curse Rick out for making me drive 15 minutes to come pick him up to feeling like all right…

Adriel Frederick · 24:30

hey I had a little bit too much to drink I'm worried about breaking my hip so that's why I call her right

Adriel Frederick · 24:30
#lyft#user-research#pricing#story
Story28:00

The Most Stressful Lyft Project: Rebuilding a Pricing Algorithm

Adriel's most stressful memory was a sophisticated pricing model, built with revenue-management PhDs, that worked well in three cities but became nearly impossible to operate at scale — it took months just to change prices. The emotionally hard but simple answer was to own the failure publicly and rebuild it. The lesson: treat operational control as a first-order requirement, not an afterthought.

  • A textbook-grade pricing model worked in 3 cities but broke down operationally at ~100
  • Changing prices took months because operational flexibility wasn't a design requirement
  • They got seduced by the algorithmic "secret sauce" and ignored day-to-day control
  • The fix required admitting the mistake and rebuilding with operations as first-order

the answer was like yo we gotta rebuild it

Adriel Frederick · 29:30

you have to think about operational requirements and operational control as a first order requirements

Adriel Frederick · 30:30
#lyft#pricing#operations#product-management

Takeaway· 4

Takeaway08:30

How to Set Up an R&D Team Without "Organ Rejection"

Adriel explains why long-horizon innovation teams inside established companies often get culturally rejected by the rest of the org, and the three conditions that prevent it. The core idea is that the new team must feel integral to the mission rather than a privileged group playing off in a corner.

  • New teams risk "organ rejection" because they look so different from the rest of the organization
  • The rest of the company must see the work as core and critical to the mission, not a side project
  • It has to feel like everyone's success, not just the R&D team's win
  • Set up the work so other teams don't believe all innovation happens only on that team

the rest of the company needs to see what you're doing as being core and critical to the mission

Adriel Frederick · 09:00

everyone should feel like they win

Adriel Frederick · 09:30
#product-management#innovation#org-design#reddit
Takeaway20:00

A PM's Job Is to Buffer the Team From the Hype and the Hate

Working at companies constantly in the news (Facebook, Lyft, Reddit), Adriel says a PM must provide a damping effect that cuts both ways. When everyone thinks the work is amazing, pull them back to earth; when the press says you're the worst thing in the world, pull the team up and keep charging toward the mission.

  • A PM is a leader who provides a buffering/damping effect on the team
  • When something feels amazing, remind the team there's far more value still to deliver
  • When the press is brutal, reassure the team and keep charging forward
  • The effect must go both directions, not just in the bad times

as a PM you are a leader you have to provide a buffering or damping effect on the team

Adriel Frederick · 20:00
#product-management#leadership#controversy
Takeaway56:00

Run a Portfolio: Cannonballs vs. Lead Bullets

Adriel estimates roughly 60% of experiments succeed and 40% should be turned off, but warns of a hidden cost: fussing with easy small experiments crowds out the few big bets. He recommends treating experiments as a portfolio — weighting energy toward a couple of "cannonballs" and fewer "lead bullets" — and notes the right balance shifts with product maturity (early stage can be 100% cannonballs).

  • Roughly 60% of experiments succeed, 40% should be turned off
  • The hidden cost of small experiments is the big work you didn't do instead
  • Laziness pushes teams toward many small, easy wins that don't add up to something big
  • Weight the portfolio toward cannonballs; early-stage products can be nearly 100% cannonballs

there's a laziness that can creep in where you're just finding a lot of little things because they're easier to come up with

Adriel Frederick · 57:00
#experimentation#growth#prioritization#product-management
Takeaway59:30

The Skills That Matter Most as You Get Senior: Org Design and Empathy

Asked what he had to grow most moving from IC to VP, Adriel names organization design and empathy. He had to unlearn the idea that the smartest or best individual contributors should rise, and instead focus on building great teams and processes. The hardest part of empathy, he says, isn't getting into someone else's shoes — it's taking your own off first.

  • The two skills he grew most: organization design and empathy
  • Nothing meaningful gets done by a single person, despite "hustle porn" online
  • Org design means clear goals, safety, and smoother processes and interactions for the team
  • The hardest part of empathy is taking off your own shoes before stepping into someone else's

the hardest part is taking my own shoes off

Adriel Frederick · 1:01:30
#leadership#career#empathy#org-design