Teaching users how to fish

Teaching users how to fish

How Booking.com's Help Center cut costs and empowered millions of users

The challenge

The challenge

In 2016, Booking.com faced an unexpected surge in customer support tickets, reaching record highs during a period when support demand was typically lower. This spike posed a significant financial challenge for Booking.com, which handled all support in-house with no outsourcing.

At the heart of the issue was a Help Center that wasn’t doing its job. It was static, it was leading to an overwhelmed Phone Support and wasn't really focused on putting the customer in control. Without intervention, Booking.com would have needed to expand its in-house customer support team significantly—an unsustainable solution with major cost implications.

The execution

The execution

I set out to turn the Help Center into a self-service powerhouse that would. I designed and discussed several versions of the solution with the team and we took it to Booking's experimentation platform to validate our assumptions via A/B tests. We set out to:

Reduce Support Tickets: Empowering users to resolve common issues independently.
Lower Operational Costs: Cut the need for additional support hires.
Improve User Satisfaction: Streamline post-booking workflows to reduce frustration and build trust.
Scale Seamlessly Across Platforms: Ensure a consistent experience on iOS, Android, desktop, and mobile web.

I set out to turn the Help Center into a self-service powerhouse that would. I designed and discussed several versions of the solution with the team and we took it to Booking's experimentation platform to validate our assumptions via A/B tests. We set out to:

Reduce Support Tickets: Empowering users to resolve common issues independently.
Lower Operational Costs: Cut the need for additional support hires.
Improve User Satisfaction: Streamline post-booking workflows to reduce frustration and build trust.
Scale Seamlessly Across Platforms: Ensure a consistent experience on iOS, Android, desktop, and mobile web.

Conclusion

30% fewer support tickets for common issues.
85% task completion rates for cancellations and refunds.
$1M+ cost savings by reducing the need for additional in-house support staff on the first 3 months.
3% drop-off rate for self-service tools and higher loyalty.

Reflection

This project not only delivered significant cost savings but also demonstrated the power of user-centered and data drivendesign at scale. By focusing on actionable tools and addressing root causes, I turned a passive Help Center into a proactive, self-service hub that empowers millions of Booking.com users every day.

Conclusion

30% fewer support tickets for common issues.
85% task completion rates for cancellations and refunds.
$1M+ cost savings by reducing the need for additional in-house support staff on the first 3 months.
3% drop-off rate for self-service tools and higher loyalty.

Reflection

This project not only delivered significant cost savings but also demonstrated the power of user-centered and data drivendesign at scale. By focusing on actionable tools and addressing root causes, I turned a passive Help Center into a proactive, self-service hub that empowers millions of Booking.com users every day.