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Measure impact of ads-manager automation feature

Last updated: Mar 29, 2026

Quick Overview

This question evaluates competency in causal impact measurement, experimental design, metric selection, monitoring instrumentation, and bias identification within the analytics & experimentation domain.

  • easy
  • Reddit
  • Analytics & Experimentation
  • Data Scientist

Measure impact of ads-manager automation feature

Company: Reddit

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: easy

Interview Round: Onsite

## Context An Ads Manager product has new **automation features** (e.g., auto-bidding, auto-budgeting, auto-creative suggestions). You need to measure the feature’s impact and design monitoring. ## Task 1. How would you measure the feature’s causal impact on: - advertiser outcomes (e.g., conversions, CPA/ROAS) - platform outcomes (revenue, spend, retention of advertisers) - operational outcomes (time saved, support tickets) 2. What dashboard would you build to monitor the feature after launch? - specify key charts/tables, breakdowns, and alerting thresholds 3. Call out major biases (e.g., adoption bias) and how you address them.

Quick Answer: This question evaluates competency in causal impact measurement, experimental design, metric selection, monitoring instrumentation, and bias identification within the analytics & experimentation domain.

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Reddit logo
Reddit
Dec 11, 2025, 12:00 AM
Data Scientist
Onsite
Analytics & Experimentation
1
0
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Context

An Ads Manager product has new automation features (e.g., auto-bidding, auto-budgeting, auto-creative suggestions). You need to measure the feature’s impact and design monitoring.

Task

  1. How would you measure the feature’s causal impact on:
    • advertiser outcomes (e.g., conversions, CPA/ROAS)
    • platform outcomes (revenue, spend, retention of advertisers)
    • operational outcomes (time saved, support tickets)
  2. What dashboard would you build to monitor the feature after launch?
    • specify key charts/tables, breakdowns, and alerting thresholds
  3. Call out major biases (e.g., adoption bias) and how you address them.

Solution

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