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Requirements Clarification & Assessment
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.
Defining Complexity:
Complexity can be defined through various metrics such as linguistic features, user interactions, and feedback.
User Interaction Modes:
Confirm and document all possible ways users can interact with stories (e.g., clicking on words, answering questions, using hints, etc.).
Data Availability:
Assess the availability of data related to user interactions, story content, and user feedback to ensure comprehensive analysis.
User Segmentation:
Determine if user segmentation is necessary (e.g., beginner, intermediate, advanced) to tailor story recommendations based on proficiency levels.
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.
Stakeholder Input:
Engage with stakeholders, including language educators and product managers, to align on the definition of complexity and success criteria.