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Collecting quantitative data through analytics

Analytics data provides solid evidence about how users interact with your designs. Rather than guessing what works, numbers show exactly where users spend time, drop off, or convert. Start by identifying key metrics that align with your research objectives, like page views, bounce rates, conversion funnels, or click patterns.

  • Focus on design effectiveness: Collect data that reveals how well design elements perform, not just general traffic statistics
  • Use proper tools: Google Analytics, Hotjar, or Mixpanel can track user journeys through your product
  • Identify problem areas: Look for outliers: pages with unusually high exit rates or features with low engagement
  • Check cross-platform consistency: Compare metrics across different devices and platforms
  • Segment by user types: Understand how different audiences interact with your design

This quantitative foundation helps prioritize which areas need deeper qualitative research and provides baseline measurements against which improvements can be tracked.[1]

Pro Tip: Create custom events to track specific design interactions that standard analytics might miss, like hover states, partial form completions, or scrolling patterns.

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