Calculate expected value for click-through rates

Last updated: March 14, 2026

Quick Overview

Given the following scenario about revenue per session, calculate the the p-value.

Slack
Analytics & Experimentation
Data Scientist
Slack
March 14, 2026
Data Scientist
Take-home Project
Analytics & Experimentation
Medium

51

9

4,359 solved


Given the following scenario about revenue per session, calculate the the p-value.

Analytics questions at Slack evaluate your ability to define metrics, design experiments, and derive actionable insights from data. This Take-home Project question tests your end-to-end analytical thinking.

What the Interviewer Expects
  • Design a rigorous experiment with proper randomization and sample size calculation
  • Define primary and guardrail metrics with clear rationale
  • Address novelty effects, network effects, and interference
  • Segment results appropriately and identify heterogeneous treatment effects
  • Propose follow-up analyses when results are ambiguous
Key Topics to Cover
Guardrail metrics
Metric definition and success criteria
Sample size and power calculation
Long-term vs short-term metrics
Network effects and interference
A/B testing methodology
How to Approach This
  1. Define success metrics carefully. A good metric is measurable, actionable, and aligned with business goals.
  2. Run experiments long enough to account for novelty effects and weekly seasonality.
  3. Use funnel analysis to identify where users drop off for maximum optimization impact.
  4. Segment results by key dimensions (platform, country, user cohort) to catch hidden patterns.
  5. Consider network effects and interference between treatment and control groups.
Possible Follow-up Questions
  • What if the experiment shows a positive short-term effect but you suspect a negative long-term impact?
  • What would you do if a stakeholder wants to end the experiment early because initial results look good?
  • How would you handle seasonality in your experiment?
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