Summary

In this episode, Chris and Saad discuss the concept of being data-driven and the importance of context in data analysis. They explore the limitations of relying solely on data and the need for a data-informed approach. They also touch on the challenges of data quality, the impact of changing context on decision-making, and the problem of silos between data and engineering teams. They conclude by discussing the excessive use of analytics tools and the need for careful planning and evaluation of the data stack. The conversation explores the importance of data governance, the role of context in decision-making, and the challenges of scaling a product and team. It emphasizes the need to use data to make better decisions within the specific context and highlights the risks of getting lost in misleading metrics. The conversation also touches on the value of intuition and gut feeling, as well as the potential pitfalls of relying solely on personas. Overall, the discussion underscores the importance of effective communication, collaboration, and a holistic approach to product development.

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Where to find us:
Saad: https://www.linkedin.com/in/saadbess/
Chris: https://www.linkedin.com/in/kemsies/
-- Chapters

00:00 Introduction and Discussion of Data-Driven Approach

02:10 The Limitations of Being Data-Driven

04:41 The Importance of Context in Data Analysis

07:37 Challenges of Data Quality and Trust

10:03 The Impact of Changing Context on Decision-Making

13:26 Breaking Down Silos: Collaboration between Data and Engineering Teams

16:54 Thoughtful Selection and Use of Analytics Tools

21:04 Understanding User Flows

22:48 The Pros and Cons of Personas

24:36 Challenges of Starting from Scratch

25:26 The Significance of Data Governance

28:06 Avoiding the Pitfalls of Narrow Metrics

31:06 Scaling Teams: Finding the Right Balance