Harness user behavior to generate smarter hypotheses.

Digital product teams should use behavioral data to generate experimentation hypotheses because it gives a clear picture of how users are actually interacting with features. Using real data means the ideas are based on what users are really doing, not just guesses or assumptions about groups of users. By digging into actual engagement metrics, teams can run more targeted and effective experiments, leading to better product updates, improved user experiences, and more confidence in the results.

Key features highlighted in this demo:

• Dashboard analysis
• Zoning Analysis
• Comparison Mode