How can Vrbo enhance its property search filters to help travelers find more personalized vacation rentals?

Introduction

To enhance Vrbo's property search filters for more personalized vacation rentals, we need to deeply understand our users' needs and pain points in the current search process. I'll analyze key user segments, identify critical pain points, propose innovative solutions, and outline a strategy for implementation and measurement. Let's dive in.

Step 1

Clarifying Questions (5 mins)

• Looking at Vrbo's position in the vacation rental market, I'm curious about our current user base and growth strategy. Could you share some insights on our primary user demographics and whether we're focusing more on expanding our user base or increasing engagement with existing users?

Why it matters: This will help us determine if we should prioritize features for new user acquisition or retention and loyalty. Expected answer: We're focusing on both growth and retention, with a slight emphasis on increasing repeat bookings from existing users. Impact on approach: I'd lean towards solutions that enhance personalization for returning users while ensuring ease of use for newcomers.

• Considering the competitive landscape, I'm wondering about our unique value proposition. How do our current search filters compare to major competitors like Airbnb or Booking.com, and what sets us apart?

Why it matters: Understanding our strengths and weaknesses relative to competitors will guide our improvement strategy. Expected answer: We excel in family-friendly properties but lag in offering niche or experience-based filters. Impact on approach: I'd focus on enhancing our family-friendly strengths while introducing innovative filters for unique experiences.

• Given the importance of data in personalization, I'm curious about our current data collection and utilization practices. What types of user data are we currently leveraging for search personalization, and are there any untapped data sources we could explore?

Why it matters: This will inform the feasibility and potential of various personalization features. Expected answer: We use basic search history and booking data, but we haven't fully leveraged user preferences or behavioral data. Impact on approach: I'd explore ways to ethically collect and utilize more granular user preference data to power advanced personalization features.

• Considering the evolving travel landscape, especially post-pandemic, I'm interested in understanding any significant shifts in user behavior or preferences we've observed. Have we seen changes in the types of properties or amenities users are searching for compared to pre-pandemic trends?

Why it matters: This will help us align our filter improvements with current and emerging user needs. Expected answer: We've seen increased interest in remote work-friendly properties and health/safety features. Impact on approach: I'd prioritize filters that highlight these trending preferences and allow for easy discovery of properties meeting these new criteria.