Many products, whether data driven or not, chase “the one metric that matters.” It may be engagement, revenue, or some form of conversion, but the common theme is a single-minded pursuit of improvement in one metric. This approach to data science and product development leads to perverse incentives. Consider Facebook’s thirst for engagement being used against our democracy or Yahoo’s pursuit of revenue resulting in Yahoo! Mail turning into a digital Times Square. We data scientists, product managers, and engineers should spend time thinking about the design of metrics that measure our goals. This will make our products better and our customers happier.
Adil Aijaz shares an approach to designing metrics and discusses best practices and common pitfalls.
Adil Aijaz is cofounder and CEO at Split Software. Adil brings over 10 years of engineering and technical experience in roles such as software engineer and technical specialist at some of the most innovative enterprise companies, including LinkedIn, Yahoo, and RelateIQ (acquired by Salesforce). Adil’s tenure at these companies helped build the foundation for Split Software, giving him the needed experience in solving data-driven challenges and delivering data infrastructure. Adil holds a BS in computer science and engineering from UCLA and an ME in computer science from Cornell University.
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very good session