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

Intermediate
Jun 2026

Summary

Nike product interview, one question about designing a new feature for their app. Pretty open-ended, not a lot of scaffolding given.

Questions Asked (1)

Q1

How would you design a new feature for the Nike App?

Product Sense & IdeationProduct StrategyRoadmap Prioritization
Author's notes

Spent the first minute just picking a user segment to anchor on, which helped.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal and target user segment for the feature, then propose a specific feature idea that aligns with Nike's brand and business objectives. Structure your answer by walking through user needs, business impact, and how you would prioritize and measure success.

Pro tip: Tie your feature to Nike's broader ecosystem (e.g., SNKRS, Training Club, Run Club) and show how it drives engagement, loyalty, or revenue—not just innovation for its own sake.

1. Clarify the Objective

Ask clarifying questions to understand the goal (e.g., increase engagement, drive sales, improve retention) and the target user segment (e.g., runners, sneakerheads, casual athletes).

2. Identify User Needs

Choose a user segment and articulate their key pain points or unmet needs within the Nike App experience, using empathy and market insights.

3. Brainstorm Feature Ideas

Generate 2-3 feature ideas that address the user needs, then select one to focus on based on its potential impact and alignment with Nike's strategy.

4. Define Success Metrics

Outline how you would measure the feature's success (e.g., engagement, conversion, retention) and how it supports Nike's business goals.

5. Prioritize and Roadmap

Explain how you would prioritize this feature against other initiatives, considering effort, impact, and strategic fit, and suggest a phased rollout plan.

Key Points to Mention

  • Nike's brand mission and target audience (athletes* and everyday athletes)
  • Integration with Nike's ecosystem (SNKRS, Training Club, Run Club, Nike.com)
  • Data-driven decision making (user research, A/B testing, analytics)
  • Business impact (revenue, engagement, loyalty, membership growth)
  • Competitive landscape (Adidas, Under Armour, Lululemon apps)
  • Technical feasibility and resource constraints

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