Frequently Asked Queries - Conclusion - Mixpanel

What’s next?

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The possibilities for product analysis and optimization are endless—and that’s why diving into your product data can seem daunting. But our findings make clear that you don’t have to have a massive data team or a ton of sophisticated reporting to learn from your product data.

At a baseline, you should strive to:

  • Keep tabs on important metrics by spending at least 5 minutes per day on your data.
  • Set a goal of asking at least one follow-up question each time for a given report; this should prompt you to add an additional filter, breakdown, or create a cohort, etc.
  • Run analysis throughout the week, not just to prep for Monday meetings.
  • Embrace engagement analysis to uncover key activity unique to your product and visualize your findings with line charts that show change over time.
  • Take advantage of existing reporting and use filters, breakdowns, and cohorts to find deeper insights.
  • Use alerts and email digests to stay on top of important metrics.

But if you really want to lead with data, you should consider following in the footsteps of product analytics leaders:

  • Make analysis part of your daily routine, dedicating a minimum of 10 minutes or more to your data.
  • Dig into the “why” behind the “what” by using simple reports in sophisticated ways or experiment with advanced reports like Impact and Experiments.
  • Advance your analysis by using lookup tables to enrich your data and to deepen your insights.
  • Use custom events to capture value moments that make sense for your business and compute new metrics with custom properties.

Becoming a product analytics pro isn’t just about creating massive dashboards with fancy visualizations. It’s about letting your curiosity lead you to a deeper understanding of your product and your users—and using what you find to fuel iterative development that drives them both forward.