QXscore, or Quantitative Experience Score, is a metric used in user research to measure and quantify the overall user experience of a product or service based on multiple factors such as usability, satisfaction, and efficiency.
Synonyms: Quantitative Experience Score, User Experience Metric, UX Performance Score, Experience Quality Score
QXscore plays a crucial role in user research by providing a standardized way to assess and compare user experiences across different products, versions, or time periods. It helps researchers and product teams to:
By using a single, comprehensive metric, teams can make data-driven decisions to improve their products and services.
The QXscore is typically calculated by combining multiple user experience factors, each weighted according to its importance. These factors may include:
The exact formula for QXscore can vary depending on the organization and the specific goals of the product or service being evaluated.
E-commerce website redesign: A company uses QXscore to compare the user experience of their old and new website designs, helping them determine if the redesign was successful.
Mobile app optimization: Developers track the QXscore of their app over time, using it to identify which updates have the most significant impact on user experience.
Competitive analysis: A startup compares its product's QXscore against competitors to benchmark their user experience and identify areas for improvement.
What's the difference between QXscore and other UX metrics?: QXscore is a composite metric that combines multiple aspects of user experience into a single score, whereas other metrics like task completion rate or NPS focus on specific aspects of the experience.
How often should QXscore be measured?: The frequency depends on your product cycle and research goals. Many teams measure QXscore quarterly or after significant product updates.
Can QXscore be used for all types of products?: While QXscore can be adapted for various products and services, the specific factors and weights used in the calculation may need to be adjusted to fit the context of each product.