What they are
- Data-driven findings: Insights are the result of analyzing data to find patterns and trends in how a product is used.
- Combination of data types: They include both quantitative data (e.g., conversion rates, task completion times) and qualitative data (e.g., customer interviews, user sentiment).
- Actionable learnings: Unlike raw data, insights are processed into a format that can be used to make concrete decisions and improvements.
- User-centric: The core of product insights is understanding the user's experience, including their feelings and pain points when interacting with the product.
About the Author(s):
Jesse Nacht is an Index Research Associate at MarketVector IndexesTM (“MarketVector”). His core responsibilities include index development and design. He has an MA in International Economics and Finance from the International Business School at Brandeis University.
Joy Yang is the Head of Product Management and Marketing at MarketVector Indexes™ (“MarketVector”). She is responsible for managing MarketVector products and services to accelerate innovation in financial index design and adoption. Joy brings more than 25 years of investment experience to MarketVector, having led teams delivering index and quantitative-active investment solutions at Arabesque Asset Management, Dimensional Fund Advisors, Vanguard, Aberdeen Standard Investments, AXA Rosenberg, and Blackrock. She has an MBA from the University of Chicago Booth School of Business and a Bachelor of Science in Electrical Engineering from Cooper Union’s Albert Nerken School of Engineering.
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