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Data Interview Question

Assessing Story Complexity

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Requirements Clarification & Assessment

  1. Understanding the Objective:

    • The primary goal is to evaluate the complexity level of stories on Duolingo to enhance user learning experiences by suggesting stories that are appropriately challenging.
  2. Defining Complexity:

    • Complexity can be defined through various metrics such as linguistic features, user interactions, and feedback.
  3. User Interaction Modes:

    • Confirm and document all possible ways users can interact with stories (e.g., clicking on words, answering questions, using hints, etc.).
  4. Data Availability:

    • Assess the availability of data related to user interactions, story content, and user feedback to ensure comprehensive analysis.
  5. User Segmentation:

    • Determine if user segmentation is necessary (e.g., beginner, intermediate, advanced) to tailor story recommendations based on proficiency levels.
  6. Metrics for Complexity:

    • Define key metrics such as average time spent, completion rates, error rates, hint usage, and feedback scores to evaluate story complexity effectively.
  7. Stakeholder Input:

    • Engage with stakeholders, including language educators and product managers, to align on the definition of complexity and success criteria.