Copy Rate Measure

A Copy Rate Measure is an implicit feedback measure that quantifies the percentage of AI responses that system users copy to clipboard.

• AKA: Content Copy Rate, Clipboard Usage Rate, Implicit Approval Metric, Copy Action Rate.
• Context:
  • It can typically indicate Response Usefulness through user action tracking without explicit feedback request.
  • It can often provide Unbiased Quality Signals via behavioral observation with passive measurement.
  • It can measure Practical Value by tracking content reuse intention with workflow integration.
  • It can complement Explicit Feedback Measures like thumbs-up rates with independent validation.
  • It can detect High-Value Content Patterns through copy frequency analysis with content categorization.
  • It can inform Response Format Optimization through copyable element analysis with UI/UX improvement.
  • It can vary based on Response Type, with higher rates for code snippets and structured data.
  • It can range from being a Very Low Copy Rate Measure to being a Low Copy Rate Measure, depending on its content relevance.
  • It can range from being a Moderate Copy Rate Measure to being a High Copy Rate Measure, depending on its practical utility.
  • It can range from being a Text-Copy Rate Measure to being a Code-Copy Rate Measure, depending on its content type.
  • It can range from being a Partial-Copy Rate Measure to being a Full-Copy Rate Measure, depending on its selection scope.
  • It can range from being a First-Attempt Copy Rate Measure to being a Refined-Response Copy Rate Measure, depending on its iteration stage.
  • ...
• Example(s):
  • Code Generation Copy Rate, such as:
    • 85% copy rate for working code solutions.
    • 40% copy rate for pseudocode examples.
  • Email Draft Copy Rate, such as:
    • 70% copy rate for professional email templates.
    • 55% copy rate for casual correspondence.
  • Data Analysis Copy Rate, such as:
    • 80% copy rate for SQL querys.
    • 65% copy rate for statistical summarys.
  • ...
• Counter-Example(s):
  • View Duration Measure, which tracks passive consumption rather than active reuse.
  • Thumbs-Up Rate Measure, which requires explicit action rather than implicit behavior.
  • Download Rate, which measures file saving rather than clipboard usage.
• See: User Feedback Measure, Implicit Feedback Measure, Answer Success Rate Measure, User Behavior Metric, Content Reuse Indicator, Thumbs-Up Rate Measure, Click-Through Rate, User Engagement Measure, Response Quality Metric.

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