Fresh data insights from Automattic.
Dive into our blog where we turn complex data into clear, actionable insights. Stay tuned for fresh perspectives and expert advice from the heart of Automattic’s data team.
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Stocking Stuffers for the Data Team
Santa is making a list and checking it twice – and if anyone knows the value of double-checking the results while analyzing a large data set – it’s our company’s data team. So we asked them to share their expertise and let us know what they hoped to see under their trees this year. Great Pens…
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Automattic’s First Data+ Meetup
How do you bring together an organizational archipelago of data teams? Madison Swain-Bowden – Data Wrangler with Openverse at Automattic How do you bring together an organizational archipelago of data teams? How do you foster unity between data‑focused employees spread across a central division, various sub‑teams, and even individual team members wholly isolated from other…
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How to Save Time with Alfred, Stream Deck, and Apple Shortcuts
Most people automate parts of their job because they find it boring. I did it because I have four kids. I used Alfred, Stream Deck, and Apple Shortcuts to automate my workflow and make the start of my day easier.
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How to profit from an Analytics Skill Matrix
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…
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Challenge Hiring Assumptions with Data
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…
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Advance your Career with Automattic Rotations
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…
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Join us at Tumblr!
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…
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ExPlat’s Development Principles and Practices
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…
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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…
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ExPlat: Automattic’s Experimentation Platform
Over the past 18 months, the Decision Science team has been building the Experimentation Platform (ExPlat): a tool to help our colleagues run experiments to improve customer experiences, inform product decisions, and quantify the impact of newly released features on many of Automattic’s products such as WordPress.com, Jetpack, Akismet, and more. In this multi‑part series, we…
Data for Breakfast 