Experimentation Platforms
An Overview of Experimentation Platforms.
Books
Resources
Companies
Netflix
- Netflix Articles tagged Experimentation
- It’s All A/Bout Testing: The Netflix Experimentation Platform
- Reimagining Experimentation Analysis at Netflix
- Success stories from a democratized experimentation platform
- Key Challenges with Quasi Experiments at Netflix
- Data Compression for Large-Scale Streaming Experimentation
- Streaming Video Experimentation at Netflix: Visualizing Practical and Statistical Significance
- Innovating Faster on Personalization Algorithms at Netflix Using Interleaving
Microsoft
- ExP Experimentation Platform Accelerating software innovation through trustworthy experimentation
- Online Experimentation at Microsoft
- Experimentation Platform
- A/B Testing and Covid-19: Data-Driven Decisions in Times of Uncertainty
- Patterns of Trustworthy Experimentation: Pre-Experiment Stage
- PlanOut is a library and interpreter for designing online experiments.
- Adaptive Experimentation Platform
Spotify
- Spotify’s New Experimentation Platform part 1
- Spotify’s New Experimentation Platform part 2
- Large Scale Experimentation at Spotify
Tinder
- Phoenix — Tinder’s Testing Platform, Part — I
- Phoenix — Tinder’s Testing Platform — Part II
- Phoenix — Tinder’s Testing Platform — Part III
- Our evolution towards T-REX: The prehistory of experimentation infrastructure at LinkedIn
- Making the LinkedIn experimentation engine 20x faster
Uber
- Under the Hood of Uber’s Experimentation Platform
- A/B testing at Uber: How we built a BYOM (bring your own metrics) platform
- Building an Intelligent Experimentation Platform with Uber Engineering
AirBnB
- 4 Principles for Making Experimentation Count
- Scaling Airbnb’s Experimentation Platform
- Experiment Reporting Framework
Go-Jek
InstaCart
Pintrest
Conferences
SASS solutions
When you can’t run A/B Tests
- Quasi Experimentation at Netflix
- Key Challenges with Quasi Experiments at Netflix
- Mostly Harmless Econometrics: An Empiricist’s Companion
Notes
2020 CODE@MIT Experimentation platforms
- Gaussian processes
- Multi touch attributions
- Heterogenous treatment effect
- Interaction effects
- Overlapping experiments
- What are potential over evaluation criteria ?
- What are good guardrail metrics ?
- run A/A tests.
Canary Deploys by using Experimentation platform to tell when you break guard rail metrics