Users will love you for itInnerview: Help the world make progress

Trusted by world-class organizations

Glossaries

User Research Baseline Metrics

What are User Research Baseline Metrics?

User Research Baseline Metrics are initial measurements collected during the early stages of user research to establish a starting point for evaluating user behavior, satisfaction, and performance with a product or service. These metrics provide a reference to compare against future data after changes or improvements are made.

Synonyms: initial user metrics, starting user data, baseline user measurements, user experience baseline

question mark

Why User Research Baseline Metrics Matter

Baseline metrics help teams understand the current state of user experience before making design changes. They reveal how users interact with a product, what issues they face, and how satisfied they are. Without these metrics, it’s difficult to measure the impact of updates or new features.

How Baseline Metrics Are Collected

These metrics are gathered through methods like surveys, usability tests, analytics, and interviews. For example, measuring task completion rates, error rates, or user satisfaction scores before redesigning a website gives a clear picture of where improvements are needed.

Examples of Common Baseline Metrics

  • Task completion time: How long users take to finish a task.
  • Error rate: Frequency of mistakes made by users.
  • User satisfaction: Ratings collected via surveys.
  • Click-through rate: Percentage of users who click on a specific link or button.

Frequently Asked Questions

  • What is the difference between baseline metrics and benchmark metrics? Baseline metrics are initial measurements for your specific product, while benchmark metrics compare your product’s performance against industry standards or competitors.
  • How often should baseline metrics be updated? Baseline metrics are typically updated when significant changes are made to the product or during new research phases.
  • Can baseline metrics be qualitative? Yes, qualitative data like user feedback and interview insights can also serve as baseline metrics to understand user attitudes and pain points.
Try Innerview

Try the user interview platform used by modern product teams everywhere