##### Question Kayak has shared an anonymized dataset of user interactions on its booking website. In 5 presentation slides: Extract and summarize the key user insights and pain points. Propose one data-backed product or feature solution that addresses those insights. List the 3–5 most important metrics you would track to measure success. Identify major risks or 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 business impact as well as user value.

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.

How do I approach Product / Decision Making interview questions?

Product / Decision Making questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master product / decision making interviews.

What difficulty level is this interview question?

This is a medium difficulty Product / Decision Making question, commonly asked during Onsite rounds at Kayak.

What role is this question designed for?

This question is commonly asked for Product Manager candidates at Kayak during technical interviews.

Kayak User Data Deep Dive & Solution Proposal

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.

Context (assumed)

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

Quick Overview

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

Context (assumed)

Task (deliver in 5 slides)

Solution

Submit Your Answer

Kayak User Data Deep Dive & Solution Proposal

Quick Overview

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

Context (assumed)

Task (deliver in 5 slides)

Solution

Submit Your Answer