Intro
(Project overview)
During this 2-weeks-long initiative, our team prepared and conducted an A/B experiment around email sync flow aimed at increasing feature adoption.
(Goal)
The primary objective was to increase the email sync flow conversion rate by 10%.
(My role)
I played a key role in identifying the problem, defining hypotheses, and creating designs to address the issue.
Problem statement
After developing a UX metrics dashboard, we uncovered a critical issue in our feature activation funnel. We observed a significant drop-off at the email account connection stage.
Although users express intent to connect their email accounts and successfully completed the authentication flow, 43% of paying users (approximately 7,400 users monthly) and 16% of non-paying users (approximately 740 users monthly) failed to finalise the process.
This drop-off represents a substantial loss in user engagement and prevents users from fully using a key feature, impacting both user experience and business outcomes. Email activation is an important milestone for the entire product's adoption, as it has proved to have a direct impact on company's North Star and churn metrics.
Addressing this problem was crucial to improve feature adoption and overall product success.

Challenges
(Limited time & resources)
The project operated under tight time constraints and resource limitations, which required us to pick wisely those most impactful changes that could be implemented quickly and effectively.
(Complicated backend structures)
The backend infrastructure posed a challenge due to its complexity. To prevent future errors and system overload, we needed precise user input during the setup flow. Key details, such as how far back to sync emails, whether emails should be private or shared, and which emails to share, were critical for solving the problem.
(Reduce friction vs user trust)
While we aimed to minimize friction in the setup flow, certain steps could not be removed without compromising the system's functionality. Automatically deciding these settings risked losing important information, potentially undermining user trust.






