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Product Design & Strategy Interview Questions

Practice 9403 coding, system design and machine learning questions from 546 companies, sorted by role, topic and interview round. Every question has step-by-step hints, a code runner that supports 8 languages and an AI mentor; members also get the full solution walkthrough.

9403
Questions
546
Companies
11
Topics
8
Languages

Showing 1–7 of 7 results

  • Capital OneMediumSoftware Engineer
    Benefits of a Customer-Facing Chatbot for a Bank and Its Customers

    A case-study opener asking what benefits a customer-facing chatbot would bring to a bank and to its customers. It tests whether you can tie each benefit to a concrete mechanism and metric, and weigh it against risks specific to banking such as wrong answers about money, authentication and privacy.

    Product Design & StrategyOnsite
  • Capital OneMediumProduct Manager
    Improve Capital One Shopping

    Improve Capital One Shopping as a PM case focused on profitable deal discovery. Covers monetization, personalized recommendations, coupon trust, email A/B testing, UX critique, metrics, segmentation, and guardrails.

    Product Design & StrategyOnsite
  • Capital OneMediumSoftware Engineer
    Make the Case for a Banking Virtual Assistant: Who Wins and How?

    Argue what an in-app virtual assistant would deliver to a retail bank and to its account holders, backing each claim with a mechanism, a metric and the money-specific risks that offset it.

    Product Design & StrategyOnsiteproduct-sensefintechchatbots
  • Capital OneMediumSoftware Engineer
    Make the Case for a Customer-Facing Insurance Claims Chatbot

    A case-study opener: argue what benefits a customer-facing chatbot would bring to an insurer and to its policyholders. Tests whether you anchor each benefit to a concrete mechanism and metric, and weigh it against the specific risks of giving automated answers about claims and money.

    Product Design & StrategyOnsiteproduct-sensecase-studyrisk-tradeoffs
  • Capital OneMediumProduct Manager
    Redesign the DMV Experience

    Redesign the DMV customer experience with a product discovery framework. Covers pain points, problem statement, pre-visit readiness flow, storyboard, metrics, pilot plan, accessibility, and operational tradeoffs.

    Product Design & StrategyOnsite
  • FurtheraiMediumMachine Learning Engineer
    Map an Insurance Underwriting Workflow and Pick What AI Automation Should Fix First

    A business-curiosity question for an engineer at a company automating insurance underwriting: describe the underwriting workflow from submission to decision, decide which pain points AI should automate first and how to measure the result, and ask questions that show genuine interest in the customer's work.

    Product Design & StrategyOnsite
  • TikTokHardProduct Manager
    Detecting and Mitigating Cheating in Games

    Practice designing an anti-cheat product strategy for competitive online games with real-time matches, ranked leaderboards, and an in-game economy. The solution covers detection signals, streaming and batch pipelines, modeling approaches, prevention, graduated enforcement, appeals, false-positive recovery, and trust metrics.

    Product Design & StrategyOnsite