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What are “quantitative” and “qualitative” UX evaluation data?

Quantitative vs. Qualitative UX Data: An Agile Perspective

Quantitative UX Data

  • Measures numerical data.
  • Focuses on "how many" or "how much."
  • Uses metrics like task completion rate.
  • Employs tools like analytics platforms.
  • Provides statistically significant insights.
  • Examples: Conversion rates, bounce rates, time on task.

Qualitative UX Data

  • Captures descriptive information.
  • Focuses on "why" and "how."
  • Uses methods like user interviews.
  • Relies on observations and feedback.
  • Provides rich context and understanding.
  • Examples: User feedback on usability, pain points, emotional responses.

Agile Integration of UX Data

  • Quantitative data informs sprint goals and prioritization.
  • Qualitative data guides design decisions and iterations.
  • Regular feedback loops integrate both data types.
  • Data-driven decisions improve user satisfaction and product success.
  • Agile methodologies facilitate rapid iteration based on insights.

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