Calculate conditional probability for user retention
Last updated: September 1, 2025
Quick Overview
Given the following scenario about revenue per session, calculate the the p-value.
Palantir
September 1, 2025188
5
3,664 solved
Given the following scenario about revenue per session, calculate the the p-value.
This analytics question from Palantir's Take-home Project tests your ability to think critically about data. The interviewer expects you to consider confounding variables, selection bias, and the difference between correlation and causation.
What the Interviewer Expects
- Define clear success metrics aligned with business goals
- Propose a basic experimental design with control and treatment groups
- Interpret results correctly and draw reasonable conclusions
- Identify obvious confounding variables
Key Topics to Cover
How to Approach This
- Define success metrics carefully. A good metric is measurable, actionable, and aligned with business goals.
- Run experiments long enough to account for novelty effects and weekly seasonality.
- Use funnel analysis to identify where users drop off for maximum optimization impact.
- Segment results by key dimensions (platform, country, user cohort) to catch hidden patterns.
- Consider network effects and interference between treatment and control groups.
Possible Follow-up Questions
- How would you handle interference between treatment and control?
- How would you handle seasonality in your experiment?
- What if you discover a bug in the logging during the experiment?
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Problem Setup
The analytical question is: What is the conditional probability of user retention based on revenue per session? To tackle this, we need data on user sessions, specifically the revenue generated per se...
Methodology
We will use a logistic regression model to calculate the conditional probability of user retention based on the revenue per session. The logistic regression will allow us to model the binary outcome o...
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