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These job postings usually arise due to a problem of inaccurate needs assessments, resulting in a delayed and complex hiring process Javier Andrés Tiniaco Leyba – Tumblr Data Science Analytics Team Lead at Automattic The Analytics Skill Matrix is a tool we use in Data teams throughout Automattic. It developed from our interest in creating…
We use experiments to model reality (sometimes to create alternative realities as in A/B experiments), to understand reality, and ultimately, to make decisions moving us ever closer to our goals. Improving iteratively, we learn not only from successful experiments but also from failed attempts. Experiments are important because they provide us with measurements. And measurements…
One distinguishing feature of Automattic’s work culture is a team rotation, through which an individual can move from one team to another. A rotation can happen for a few reasons: to “try out” a new role and gain new skills, to backfill an understaffed team, or to cultivate cross-pollination and diversity across the company. Some rotations…
During an interview, a candidate recently asked me why, after more than five years, I still work at Automattic. Why? I like the people I work with, and they alone are a good reason to stay. Being globally distributed means I get to work with colleagues from various backgrounds. This helps me understand first‑hand what’s happening…
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…