← Microsoft Interview Insights

Microsoft·Product Manager·Onsite - Product Sense / Strategy·Intermediate

Intermediate
Jul 2026

Summary

Microsoft PM interview, got a product sense question about mobile app needs. Pretty standard round but the question had more layers than I expected.

Questions Asked (1)

Q1

How would you identify and address different types of user needs in mobile apps?

Product Sense & IdeationProduct Analytics & MetricsRoadmap Prioritization
Author's notes

I went straight into functional vs emotional needs and felt pretty good about it, but then realized I hadn't said anything about the discovery process itself.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Start by segmenting users based on their goals and contexts, then map needs to functional, emotional, and social layers. Prioritize needs using data and frameworks like Kano or RICE, and propose solutions that address the most impactful needs first.

Pro tip: Show how you'd validate needs with both qualitative and quantitative methods, and tie prioritization to business metrics like retention or engagement to demonstrate product sense.

1. Segment Users and Identify Needs

Group users by demographics, behavior, or use cases, and conduct research (interviews, surveys, analytics) to uncover explicit and latent needs.

2. Categorize Needs

Classify needs into functional (e.g., task completion), emotional (e.g., confidence), and social (e.g., belonging) to ensure comprehensive coverage.

3. Prioritize Needs

Use frameworks like Kano model, RICE, or MoSCoW to prioritize based on impact, effort, and alignment with business goals.

4. Design and Test Solutions

Ideate features that address prioritized needs, create prototypes, and test with users to validate desirability and usability.

5. Measure and Iterate

Define success metrics (e.g., adoption, retention), launch, and continuously gather feedback to refine the product.

Key Points to Mention

  • User research methods (interviews, surveys, usability tests)
  • Analytics and behavioral data (funnels, heatmaps, cohort analysis)
  • Prioritization frameworks (Kano, RICE, MoSCoW)
  • Emotional and social needs beyond functional requirements
  • Metrics for validation (NPS, retention, engagement)
  • Iterative development and feedback loops

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.