When product teams focus solely on metrics like engagement or dwell time, they risk neglecting qualitative aspects such as content quality and user satisfaction, which can lead to long-term retention issues.

Social sharing metrics are important for understanding the value of content and its impact on audience engagement.

The hardest metrics to optimize for are likely surveys, as they reflect viewer satisfaction more accurately than click-through rates or average view duration.

Product metrics for AI should focus on the depth of engagement rather than just frequency, as meaningful interactions may not always show up in traditional metrics.

The most important metrics for a video's success are click-through rate, average view duration, and viewer surveys about their experience.

Subscribers are often a vanity metric; the real value lies in consistent viewership and engagement with content.

Many marketing metrics are vanity metrics, focusing on clicks and views rather than the actual customer experience. It's crucial to understand the impact of marketing on signups and revenue, not just superficial numbers.

Tracking the ratio of users who engage with your product after visiting your page can provide insights into its usability.

To determine the right metrics, I focus on the value we aim to deliver to customers and how we can measure that from their perspective.