![#36 Working with data & metrics - with Ben Yoskovitz, Founding partner @Highline BETA - podcast episode cover](https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_nologo/7484370/7484370-1694200988476-7d1fe988f0e13.jpg)
Episode description
With many years of experience in product management, data, and analytics Ben Yoskovitz joined the Product Bakery to have a conversation about these topics. As a founding partner of Highline BETA a venture studio and venture capital firm, he looks a lot into data and analytics of companies to support business ideas and startups.
In this episode, the product bakers discussed the basics of defining good metrics & KPIs as well as the history and future trends of data-driven work and mindsets.
Table of content:
- 00:30 - Intro Ben
- 03:50 - The rise of data awareness
- 05:20 - Working with & defining data
- 06:55 - Leading vs. lagging KPIs
- 11:25 - Defining one metric that matters (North Star)
- 16:30 - Measuring wrong data
- 19:45 - Complexity of quantitative data & vanity metrics
- 27:10 - Establishing a data mindset in startups & teams
- 30:20 - Understand the big picture as a Leadership Team
- 32:30 - Defining assumptions & hypothesis
- 37:30 - Dealing with legacy data infrastructure
- 38:30 - Ben's outlook for the future of working with data
- 41:20 - Debrief Alex & Christian
Follow Ben's work:
- Twitter: @byosko
- Linkedin: @byosko
- Book: Lean Analytics
- Website: https://highlinebeta.com/
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