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Develop user feedback mechanism to suggest low score #29

@c0d3sw0t

Description

@c0d3sw0t

Extracted from documentation: T3-InfoSec/t3-memassist#10


What is the Problem or Limitation?

Currently, the application does not provide users with feedback on their performance in relation to the memorization scores. This lack of feedback can lead to an inaccurate self-assessment of the user's understanding and retention of the material, ultimately affecting their learning process.


Describe the Solution You Would Like

To address this limitation, we propose developing a user feedback mechanism that encourages users to assign low scores to cards or levels they struggle with. This system should include several key features:

  1. Immediate Feedback after Incorrect Selections

    • When a user selects an incorrect answer, prompt them to consider a low score for that card. For example, a dialog could appear stating, "It seems you had difficulty with this question. Would you like to give it a low score?"
  2. Guidance on Scoring

    • Provide users with a brief explanation of how scoring works and the impact of low scores on their future learning paths. This can include tips such as, "Low scores will help the system prioritize this card for future reviews."
  3. Dynamic Score Suggestions

    • After each interaction with a card, dynamically suggest a low score if the user struggles. For example, if a user answers incorrectly multiple times, the app could prompt, "Since you found this challenging, we suggest scoring it low to help with future reviews."
  4. Visual Indicators

    • Implement visual cues (e.g., color coding) to indicate cards that have been assigned low scores. This helps users quickly identify areas needing attention.
  5. User-Friendly Scoring Interface

    • Design a simple and intuitive interface for users to assign scores. The easier it is to rate their performance, the more likely users will engage with the feature.

Additional Considerations

  • User Education: Make sure users understand the significance of low scores and how they contribute to the overall learning experience. This can be achieved through tooltips, tutorials, or onboarding processes.
  • Accessibility: Ensure that feedback prompts are accessible to all users, including those with disabilities.
  • Multilingual Support: Implement localization for feedback messages to cater to a diverse user base.
  • Testing and Iteration: Regularly gather user feedback on the effectiveness of the scoring suggestions and refine the mechanism accordingly.
  • Incentives for Accurate Scoring
    Introduce gamification elements that reward users for accurate self-assessment. For instance, offer points or badges for consistently low scores that lead to improved performance in subsequent reviews.

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