Data implementation, starting with the ‘why’

Product managers often focus on tracking engagement metrics for new features to determine their success, but a common oversight is neglecting to investigate the underlying "why" behind these metrics, which can lead to more meaningful insights. By examining deeper motivations for user engagement beyond surface-level actions, such as likes or shares, a more comprehensive understanding of a product's impact can be achieved. An example discussed involves a LinkedIn post, where analyzing not just the number of likes but factors like current comments, shares, and whether a post was suggested in the feed revealed that distribution methods significantly influence engagement. This approach underscores the importance of asking probing questions that consider user motivations and actions, which can ultimately guide more effective data analysis and product improvements. Engaging with other product managers and industry experts can also offer valuable perspectives and best practices in event tracking and analytics.

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