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Design and analyze email deliverability experiment

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a data scientist's competency in experimental design, causal inference, sequential testing (frequentist and Bayesian), instrumentation for observability, and applied metrics for email deliverability within the Analytics & Experimentation domain.

  • hard
  • Microsoft
  • Analytics & Experimentation
  • Data Scientist

Design and analyze email deliverability experiment

Company: Microsoft

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: hard

Interview Round: Technical Screen

Design a rigorous experiment to test whether sending from Outlook yields higher deliverability to a specific enterprise domain than sending from Gmail. Provide: hypotheses and estimands; experimental unit and randomization scheme that balances time-of-day and content across providers; a two-stage sequential design with an interim at 500 sends when the baseline failure rate is unknown; instrumentation details (SPF, DKIM, DMARC alignment, return-path domain, seed inboxes across subdomains, per-message signed tokens, and server-side web beacons); primary metric (delivered-to-inbox within 5 minutes of send) and secondary metrics (time-to-first-inbox, spam-folder rate, hard-bounce rate); an analysis plan using either a difference-in-proportions test with continuity correction and multiplicity control or a Bayesian beta-binomial with skeptical priors, including decision thresholds and stopping rules; plans to detect and mitigate confounders (content drift, throttling, OOO bursts, holiday effects) and to assess heterogeneity by recipient subdomain; procedures to validate assumptions and generalize results to future campaigns.

Quick Answer: This question evaluates a data scientist's competency in experimental design, causal inference, sequential testing (frequentist and Bayesian), instrumentation for observability, and applied metrics for email deliverability within the Analytics & Experimentation domain.

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Microsoft logo
Microsoft
Oct 13, 2025, 9:49 PM
Data Scientist
Technical Screen
Analytics & Experimentation
3
0
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Experiment Design: Outlook vs Gmail Deliverability to a Specific Enterprise Domain

Context

You need to determine whether sending from Outlook achieves higher deliverability than sending from Gmail when emailing a specific enterprise domain. Assume you control both sending setups and a pool of seed inboxes under the enterprise domain (including multiple subdomains). The system can instrument authentication, capture bounces, poll mailboxes via API/IMAP, and log events with synchronized clocks.

Task

Design a rigorous experiment that includes:

  1. Hypotheses and estimands.
  2. Experimental unit and randomization scheme that balances time-of-day and content across providers.
  3. A two-stage sequential design with an interim at 500 sends (baseline failure rate unknown).
  4. Instrumentation details: SPF, DKIM, DMARC alignment; return-path domain; seed inboxes across subdomains; per-message signed tokens; server-side web beacons.
  5. Metrics: primary (delivered-to-inbox within 5 minutes of send); secondary (time-to-first-inbox, spam-folder rate, hard-bounce rate).
  6. Analysis plan using either:
    • A difference-in-proportions test with continuity correction and multiplicity control, or
    • A Bayesian beta-binomial with skeptical priors, including decision thresholds and stopping rules.
  7. Plans to detect and mitigate confounders (content drift, throttling, out-of-office bursts, holiday effects) and to assess heterogeneity by recipient subdomain.
  8. Procedures to validate assumptions and generalize results to future campaigns.

Solution

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