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Propose research to improve business

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a software engineer's proficiency in system design, product analytics, experimental design, and engineering/ML trade-offs by requiring high-level research directions that link technical proposals to measurable business metrics.

  • hard
  • Microsoft
  • System Design
  • Software Engineer

Propose research to improve business

Company: Microsoft

Role: Software Engineer

Category: System Design

Difficulty: hard

Interview Round: Technical Screen

Propose research directions and concrete solution approaches to improve our business performance. For each idea, define the problem, target users or segments, key success metrics (e.g., conversion, retention, revenue, cost), required data and instrumentation, experimental design to validate impact, engineering or ML components if any, risks, and a phased rollout plan.

Quick Answer: This question evaluates a software engineer's proficiency in system design, product analytics, experimental design, and engineering/ML trade-offs by requiring high-level research directions that link technical proposals to measurable business metrics.

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|Home/System Design/Microsoft

Propose research to improve business

Microsoft logo
Microsoft
Sep 6, 2025, 12:00 AM
hardSoftware EngineerTechnical ScreenSystem Design
4
0

Prompt: Propose Research Directions and Solution Approaches to Improve Business Performance

Context

Assume a large-scale, web/mobile, cloud-backed product with millions of users and multiple services. You are a software engineer in a system design and engineering technical screen, tasked with proposing pragmatic, measurable ways to improve business performance.

Task

Propose 3–5 research directions with concrete solution approaches to improve business performance. For each idea, provide:

  1. Problem definition and why it matters
  2. Target users or segments
  3. Key success metrics (e.g., conversion, retention, revenue, cost) and guardrails
  4. Required data and instrumentation
  5. Experimental design to validate impact
  6. Engineering or ML components (if any)
  7. Risks and mitigations
  8. Phased rollout plan

Keep the proposals technically grounded and measurable, with clear validation and rollout strategies.

Submit Your Answer to Earn 20XP

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