Kayak User Data Deep Dive & Solution Proposal

Q: Kayak User Data Deep Dive & Solution Proposal

This question evaluates product analytics, funnel and cohort analysis, data-driven feature design, metric selection, and risk assessment competencies by requiring extraction of insights from clickstream and revenue signals.

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Question

Product Case: Booking Website Interaction Analysis (5-slide deliverable)

Context (assumed)

You have access to an anonymized clickstream dataset from a travel booking website, covering the funnel from session → search → results → filters/sorts → item detail → partner click-out/checkout → booking (where post-click conversion is available). Data includes device type, traffic source, timestamps, and basic revenue signals (e.g., CPC/CPA/GBV where available).

Task (deliver in 5 slides)

Extract and summarize the key user insights and pain points from the dataset.
Propose one data-backed product or feature that addresses those insights.
List the 3–5 most important metrics to track success (business impact and user value).
Identify major risks/pitfalls in your approach and how you would mitigate them.
Suggest at least one additional enhancement idea that goes beyond the original prompt.

Hints:

Use a clear analytical framework (e.g., funnel, cohort, A/B results).
Prioritize metrics that reflect both business impact and user value.

Kayak User Data Deep Dive & Solution Proposal

Product Case: Booking Website Interaction Analysis (5-slide deliverable)

Context (assumed)

Task (deliver in 5 slides)

Solution

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