PracHub
QuestionsPremiumLearningGuidesCheatsheetNEWCoaches
|Home/Analytics & Experimentation/Instacart

Should you roll out if NSM decreases?

Last updated: Mar 29, 2026

Quick Overview

This question evaluates proficiency in experimental analysis, metric prioritization, and interpreting trade-offs between a north star metric and secondary signals within A/B testing, testing core data science competencies in the Analytics & Experimentation domain.

  • easy
  • Instacart
  • Analytics & Experimentation
  • Data Scientist

Should you roll out if NSM decreases?

Company: Instacart

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: easy

Interview Round: Technical Screen

## Scenario You ran an experiment. The **north star metric (NSM)** is **profit per order**. ### Observed results - **Average order volume increased** in treatment vs control. - **Profit per order decreased** (statistically and/or practically meaningfully). ## Task Should you roll out the change? Explain your decision process. ### Requirements In your answer, cover: - Why optimizing the NSM matters vs secondary metrics. - What additional checks you would run (segment analysis, guardrails, novelty effects, heterogeneous treatment effects). - When (if ever) you would still consider launching (e.g., if total profit increases, long-term effects, strategic goals). - A clear final recommendation and next steps.

Quick Answer: This question evaluates proficiency in experimental analysis, metric prioritization, and interpreting trade-offs between a north star metric and secondary signals within A/B testing, testing core data science competencies in the Analytics & Experimentation domain.

Related Interview Questions

  • How would you investigate a metric decline? - Instacart (easy)
  • How to debug an apparent D14 retention drop - Instacart (easy)
  • Design a pricing experiment with network effects - Instacart (easy)
  • Investigate marketplace metrics and experiment rollout - Instacart (easy)
  • Recommend and validate a budget allocation strategy - Instacart (Medium)
Instacart logo
Instacart
Feb 6, 2026, 12:33 PM
Data Scientist
Technical Screen
Analytics & Experimentation
2
0

Scenario

You ran an experiment. The north star metric (NSM) is profit per order.

Observed results

  • Average order volume increased in treatment vs control.
  • Profit per order decreased (statistically and/or practically meaningfully).

Task

Should you roll out the change? Explain your decision process.

Requirements

In your answer, cover:

  • Why optimizing the NSM matters vs secondary metrics.
  • What additional checks you would run (segment analysis, guardrails, novelty effects, heterogeneous treatment effects).
  • When (if ever) you would still consider launching (e.g., if total profit increases, long-term effects, strategic goals).
  • A clear final recommendation and next steps.

Solution

Show

Comments (0)

Sign in to leave a comment

Loading comments...

Browse More Questions

More Analytics & Experimentation•More Instacart•More Data Scientist•Instacart Data Scientist•Instacart Analytics & Experimentation•Data Scientist Analytics & Experimentation
PracHub

Master your tech interviews with 7,500+ real questions from top companies.

Product

  • Questions
  • Learning Tracks
  • Interview Guides
  • Resources
  • Premium
  • For Universities
  • Student Access

Browse

  • By Company
  • By Role
  • By Category
  • Topic Hubs
  • SQL Questions
  • Compare Platforms
  • Discord Community

Support

  • support@prachub.com
  • (916) 541-4762

Legal

  • Privacy Policy
  • Terms of Service
  • About Us

© 2026 PracHub. All rights reserved.