Drawer 11 · 318 notes · 58 people · 2005–2026

Metrics, data & experimentation

North-star metrics, analytics, A/B tests, and data-informed decisions

Q:
Answers from Metrics, data & experimentation notes, cited
SVPG · Marty CaganNov 30, 2005

eBay’s Secret Weapon

Nov 30, 2005 · 4 min

Marty Cagan argues that strong project management is a hidden driver of successful product organizations, using eBay's Lynn Reedy as the example. He contends that project management is distinct from product management…

SVPG · Marty CaganAug 20, 2012

Time-Boxing Product Discovery

Aug 20, 2012 · 3 min

Marty Cagan argues that product teams doing discovery often move far too slowly, risking wasted time and money on unvalidated ideas. He distinguishes time-boxing (fixed work period followed by reflection) from…

SVPG · Marty CaganDec 15, 2008

Pleasure is Not the Absence of Pain

Dec 15, 2008

Marty Cagan argues that removing usability problems and bugs only gets a product to the absence of pain, which is not the same as delighting users. Great products cause pleasure, sometimes from raw value, but often from…

Product Talk · Teresa TorresFeb 25, 2013

Are you sending enough email to your users?

Feb 25, 2013 · 3 min

Teresa Torres argues that email remains a powerful channel for products despite claims it is dead. She counters common myths: that young users avoid email, that spam has ruined it, and that users will be annoyed by…

Lenny’s Newsletter♥ 19

When to sunset a feature

Sep 13, 2022 · 8 min
Subscriber post — summary only

Lenny Rachitsky offers a five-point checklist for deciding when to sunset a product or feature, drawing on his Airbnb experience. The core argument is that a feature failing at least three of the criteria (low usage…

Lenny’s Newsletter♥ 148

Virality is a myth (mostly)

Jan 3, 2023 · 17 min
Subscriber post — summary only

Lenny Rachitsky argues that true viral growth is rare and short-lived, and that most products spike when a large one-to-many broadcaster shares them. Drawing on Derek Thompson's Hit Makers and examples like Spotify…

@hnshah · Hiten Shah on X♥ 10
If you use AI for competitor research, steal this rule. Every claim gets a date. Last week Claude answered a simple question about Linear’s competitors using an old source as if it were recent. It also stated a guess as fact. The skill forced the answer to show the dates,
Medium · Hiten ShahNov 3, 2025

The History of Slop

Nov 3, 2025 · 12 min

Hiten Shah traces the idea of 'slop' from 19th-century pig feed and swill milk through naval slop chests, industrial refineries, institutional cafeteria food and today's algorithmic content feeds. His core argument is…

Product Talk · Teresa TorresMar 4, 2013

The Awful World of Email Deliverability

Mar 4, 2013 · 5 min

Teresa Torres argues that a well-designed email template is not enough; product teams must also manage deliverability, the process of getting messages past ISP and client spam filters into real inboxes. She outlines how…

Lenny’s Newsletter♥ 252

Building AI product sense, part 2

Feb 10, 2026 · 18 min
Subscriber post — summary only

Marily Nika, a former AI PM at Google and Meta, presents a weekly ritual for building AI product sense: probing a model with messy, ambiguous, and difficult inputs to map failure modes before users do. She argues PMs…

Lenny’s Newsletter♥ 46

What is good waitlist conversion

Mar 1, 2022 · 7 min
Subscriber post — summary only

Lenny Rachitsky opens with a note on the war in Ukraine and ways to help, then answers a reader question about waitlist conversion. Drawing on founder input, he shares rough conversion benchmarks for free sign-ups, paid…

SVPG · Marty CaganNov 10, 2010

Big Bang Releases

Nov 10, 2010

Cagan describes a "Big Bang" release as a project built for months and then launched all at once, a common outcome of Waterfall but also possible under Scrum. He argues it almost never goes well: dates slip or features…