Experimentation

DataFunSummit

Sep 27, 2023 · Product Management

A Decade of User Growth in the General Entertainment Industry and Its Application to Tencent Video

This article reviews ten years of user growth (UG) development in the general entertainment sector, outlines three historical stages, and then details how Tencent Video sets realistic goals, integrates resources, designs growth plans, measures outcomes, and applies advanced attribution, revenue splitting, LTV modeling, and experimental validation to drive sustainable growth.

AttributionExperimentationLTV Modeling

0 likes · 15 min read

A Decade of User Growth in the General Entertainment Industry and Its Application to Tencent Video

DataFunTalk

Aug 8, 2023 · Product Management

ByteDance's A/B Testing Practices: Methodology, Platform, and Real‑World Cases

This article explains why A/B testing is considered the gold standard for causal inference, shares ByteDance’s extensive internal experimentation practices, describes the Volcano Engine platform architecture, outlines how to design and run experiments, and provides real case studies and Q&A for product teams.

A/B TestingByteDanceExperimentation

0 likes · 25 min read

ByteDance's A/B Testing Practices: Methodology, Platform, and Real‑World Cases

DataFunSummit

Aug 6, 2023 · Product Management

ByteDance’s A/B Testing Practices: Theory, Cases, and Platform Overview

This article explains why A/B testing is considered the gold standard for causal inference, shares ByteDance’s extensive internal experimentation practices and case studies, describes the Volcano Engine experiment platform architecture, and outlines the step‑by‑step process for launching reliable A/B experiments.

A/B TestingByteDanceExperimentation

0 likes · 26 min read

ByteDance’s A/B Testing Practices: Theory, Cases, and Platform Overview

Continuous Delivery 2.0

Jul 28, 2022 · Product Management

How Netflix Uses A/B Testing to Drive Product Decisions

This article explains how Netflix applies large‑scale A/B experiments and scientific methods to make data‑driven product decisions, describing its decision‑making frameworks, the role of hypothesis testing, and the upcoming topics in the series on experimentation.

A/B TestingExperimentationNetflix

0 likes · 5 min read

How Netflix Uses A/B Testing to Drive Product Decisions

DevOps

Aug 11, 2021 · Operations

Introduction to Chaos Engineering – Part 2: Four Steps for Disrupting Complex Systems

This article explains that chaos engineering is not a magic cure but a disciplined practice for testing distributed systems by designing and running controlled experiments, outlining four essential steps—observability, defining steady state, hypothesizing events, and executing experiments—to gain confidence in system resilience.

Chaos EngineeringExperimentationObservability

0 likes · 11 min read

Introduction to Chaos Engineering – Part 2: Four Steps for Disrupting Complex Systems

Continuous Delivery 2.0

Dec 11, 2019 · Product Management

Best Practice #1: Maintaining Consistency of Feature Flags During Rollout

This guide explains how to keep a feature flag's assignment consistent for individual users as exposure percentages increase or decrease, using a new "Previously Seen Products" section on an e‑commerce search page as a practical example.

A/B TestingExperimentationFeature Flags

0 likes · 4 min read

Best Practice #1: Maintaining Consistency of Feature Flags During Rollout