Chuhan and her team primarily focus on A/B testing and consumer data, specifically on the new user side. As a data scientist, she needs to deal with large datasets and quickly analyze the information to make data-driven decisions. In the past, Chuhan has used several other product analytics and BI tools, but none were able to meet her team's needs. She found that the other tools were not always stable, and the connections were sometimes weak. Her team needed a fast a reliable tool that could not only help her find the insights she needed, but also allow her to share those insights with the rest of the company.

After Wish adopted Kubit as their primary Product Analytics tool, Chuhan began to see Kubit's value right away. She found Kubit to be fast, reliable, and easy to use. It was the perfect tool for her team, as it allowed them to share charts and insights with other data scientists, product managers, and leaders within the company. Kubit's user-friendly interface allowed non-technical users to create reports and dashboards, which helped to promote data-driven decision-making throughout the organization.

Wish's data scientists now rely on Kubit as their go-to tool for reliable insights. They have found that with Kubit, their work has become more efficient and effective. Kubit's ease of use has also improved collaboration across teams, allowing data scientist and growth leaders to work together to acquire new users. Overall, Kubit has helped to streamline Wish's data analysis process, saving time and improving the quality of decision-making.

In a highly competitive e-commerce market, it is essential to make quality data-driven decisions. Wish's decision to use Kubit as its primary product analytics tool has proven to be a wise choice. It has improved the speed and reliability of data analysis and has enabled the team to share insights and collaborate more efficiently. By utilizing Kubit, Wish has been able to stay ahead of its competitors and provide a better user experience for its customers.