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April 2021: Experimentation News Round Up

Words by: Daniel Molina Last updated: August 19th, 2021 9 min. read

  • Experimentation News

Experimentation News

Medium.com | By Robert Chang, Amit Pahwa & Shao Xie

In this post, Airbnb shares their journey in building Minerva, Airbnb’s metric platform that is used across the company as the single source of truth for analytics, reporting, and experimentation.

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Why Digital Product Managers Should Consider A/B and Multi-Variate Testing

Agile Insider Blog | By Christine Martin

In this blog post, Christine Martin, Director of Product Management at American Express, explains the importance of testing, the different types of tests, and how to structure a test.

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Understanding Basic A/B Testing in Tech Company for Data Analyst

Medium.com | By Muchid Ariyanto

From the perspective of a Data Analyst at Tokopedia, Muchid Ariyanto explains A/B Testing and how it can help companies see the impact of a recommendation on the behaviour of customers, or the impact of a promo on the redemption rate, for example.

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What you can learn from one extra experiment

TowardsDataScience.com | By Kevin Dunn

In this article, Kevin Dunn explains the limitations of COST (Change Only One Thing) and the importance of using a structured approach to extract maximum learnings.

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How Experiments guide growth at Thumbtack

Medium.com | By Alpesh Gaglani

Thumbtack is an online service that matches customers with local professionals. In this post, Alpesh Gaglani, Director of Engineering at Thumbtack, shares examples of how their experiments guide product evolution and how to build a culture that is crucial to running effective, successful experiments.

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Optimizing Optimizely: How we’re using Optimizely to get the best from Episerver.com

Optimizely Blog | By Felix Kirmse

In this post, Optimizely shares a few tests they are currently running on Episerver.com

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Understand the statistics behind A/B testing — an intuitive way

Medium.com | By Eva He

In this article, Eva He talks about the statistics behind designing an a/b test and interpreting the results.

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5 insights on digital leadership from MIT Sloan Management Review

MIT Management Sloan School | By Brian Eastwood

This article highlights that “digitally savvy leadership teams operate differently in several key ways” and they adopt “evidence-based decision-making, they turn existing products into digital services, and they encourage experimentation”.

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From the Archives (2020):

Want to Make Better Decisions? Start Experimenting

MIT Sloan Management Review | By Michael Luca & Max H. Bazerman

Four lessons for using randomized controlled experiments to create value for your company and customers.

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Who’s Hiring

Web Marketing Manager, Experimentation| SoFiCottonwood Heights, UT

Data Scientist, Experimentation| AppleCupertino, CA

Product Manager, Experimentation| PlutoTVWest Hollywood, CA

Program Director, Experimentation| Dow JonesNYC, NY

Product Manager: Experimentation and Logging A/B Testing| Ford Motor CompanyDearborn, MI

Senior Product Manager, Experimentation| ZipRecruiterPortland, OR

Data Platform Engineer – Experimentation| Stitch FixSan Francisco, CA

Sr. Analyst, A/B Testing| Neiman MarcusDallas, TX

Senior Manager, Product Optimization| Thomson ReutersEagan, MN

Experimentation Strategist| Fanatics. IncSan Mateo, CA

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