When we started working on Automattic’s new experimentation platform (ExPlat), it became clear that we needed to agree on the development practices for the project. Achieving consensus was critical, given Automattic’s fractal nature and its strong emphasis on autonomy. In practice, these attributes lead to a high variability of project development cultures across the company, depending … Continue reading ExPlat’s Development Principles and Practices
Author: Yanir Seroussi
Full-stack data scientist & software engineer | Data scientist at Automattic
https://yanirseroussi.com/
Architecting ExPlat: Automattic’s New Experimentation Platform
Last month, my colleague Aaron Yan published a broad overview of Automattic’s new Experimentation Platform (ExPlat). This month, we’ll dive deeper into ExPlat’s architecture and design, explain how the landscape at Automattic informed our architectural decisions, and describe the platform’s main components. Future posts will share details on each component and other aspects of experimentation … Continue reading Architecting ExPlat: Automattic’s New Experimentation Platform
How to Avoid Statistical Bootstrapping Pitfalls
Yanir Seroussi shares some insight into the common pitfalls of statistical bootstrapping and how to avoid them.
… Continue readingData Science Insights from Cameron Davidson-Pilon
Cameron Davidson-Pilon talks to the Automattic data scientists about his work post-Shopify, data practices, and how data scientists can best serve their organizations.
… Continue readingHow to Increase Retention and Revenue in 1,000 Nontrivial Steps
Yanir reflects on how data scientists at Automattic work to improve customer retention.
… Continue reading
Data for Breakfast 