Introduction
To improve KAYAK's price comparison tool for frequent travelers, we need to focus on personalization and advanced features that cater to their specific needs. I'll outline a strategic approach to enhance the tool, considering user segmentation, pain points, innovative solutions, and measurement metrics.
Step 1
Clarifying Questions
Why it matters: This helps us understand if we're dealing with a retention problem or if we need to focus on enhancing the experience for already loyal users. Expected answer: Retention rates are good, but there's room for improvement in booking frequency. Impact on approach: If retention is high, we'll focus on increasing usage frequency and expanding features. If low, we'll prioritize addressing pain points that cause users to switch to competitors.
Why it matters: This helps determine the baseline for our personalization efforts and identifies potential quick wins. Expected answer: Basic personalization exists, such as remembering recent searches, but advanced features like preference-based filtering are limited. Impact on approach: If basic personalization is already in place, we'll focus on more advanced features. If it's minimal, we'll start with foundational personalization elements.
Why it matters: This helps us build on KAYAK's strengths and ensure our improvements align with the core value proposition. Expected answer: KAYAK's strength lies in its comprehensive search capabilities and price accuracy. Impact on approach: We'll focus on enhancing these strengths while addressing any gaps in the offering for frequent travelers.
Why it matters: This informs whether we need to focus on improving cross-device consistency or platform-specific features. Expected answer: There's significant cross-device usage, with research often starting on mobile and completing on desktop. Impact on approach: If cross-device usage is high, we'll prioritize seamless transitions and data syncing between platforms.
Now that we've explored the context, let's take a brief moment to organize our thoughts before diving into user segmentation.
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