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

Intermediate
Jun 2026

Summary

Atlassian PM interview with a product design question around a weight loss app. Pretty open-ended, which sounds fun until you're actually sitting there trying to figure out where to start.

Questions Asked (1)

Q1

Design an application that helps users lose weight.

Product Sense & IdeationProduct Analytics & MetricsAdaptability & Ambiguity
Author's notes

I spent the first minute just trying to narrow the problem space, which I think was the right call but I probably over-explained my reasoning out loud.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal and constraints, then segment users and define a specific target persona. Brainstorm features that address the core problem, prioritize them using a framework like RICE, and define success metrics. Finally, discuss how you would iterate based on data and user feedback.

Pro tip: Tie your solution back to Atlassian's strengths in team collaboration and project tracking—consider how weight loss could be framed as a team effort or a project with milestones, leveraging Atlassian's existing products.

1. Clarify and Scope

Ask clarifying questions to understand the goal, target users, platform, and constraints. Define a specific problem statement and success criteria.

2. User Segmentation

Identify and prioritize a target user segment based on needs, pain points, and willingness to engage. Create a persona to guide design.

3. Ideate Solutions

Brainstorm features that address the core needs of the target user, such as tracking, social support, personalization, and integration with existing habits.

4. Prioritize and Define MVP

Use a prioritization framework (e.g., RICE) to select features for an MVP. Define the core user journey and value proposition.

5. Define Metrics and Iterate

Establish key success metrics (e.g., retention, weight loss, engagement) and outline a plan for testing, learning, and iterating.

Key Points to Mention

  • User research and empathy: understanding the emotional and behavioral aspects of weight loss.
  • Behavioral economics: leveraging nudges, streaks, and rewards to build habits.
  • Social features: community support, accountability partners, and challenges.
  • Integration with health data: syncing with wearables, food databases, and calendars.
  • Monetization strategy: freemium, subscription, or partnerships with health providers.
  • Ethical considerations: privacy, data security, and avoiding harmful body image messaging.

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