Generate experimentation hypothesis using behavioral data.

For digital UX teams, using behavioral data to generate experimentation hypotheses is crucial as it grounds their strategies in real user interactions rather than assumptions. This approach provides accurate insights into user behaviors and pain points, leading to more effective and targeted improvements. Unlike guessing or relying solely on user groups, behavioral data offers a comprehensive view of how users actually engage with the product, ensuring that experiments address genuine issues and opportunities for enhancement, ultimately resulting in a better user experience and higher satisfaction.

Key features highlighted in this demo:

• Visible Overlays
• Interactions Zoning Analysis