Qualitative metrics are subjective data that can be collected and interpreted through observation, interviews, surveys, or feedback. These metrics can help you to understand the emotions, attitudes, preferences, and expectations of your users, as well as evaluate the usability, desirability, and accessibility of your user stories. Examples of qualitative metrics include satisfaction scores, net promoter scores, customer effort scores, user feedback, and user testing. Satisfaction scores measure the overall experience of a product or service on a scale from 1 to 5 or with a smiley face system. Net promoter scores measure how likely users are to recommend a product or service on a scale from -100 to 100 or with a simple yes or no question. Customer effort scores measure how easy or difficult it was for users to use a product on a scale from 1 to 7 or with an agree or disagree question. User feedback is comments, suggestions, compliments, or complaints that users share through various channels. User testing is the process of observing and interviewing users while they use a product in a controlled or natural setting and collecting their feedback and reactions. Qualitative metrics can help you measure the satisfaction, loyalty, and engagement of your user stories while also uncovering insights and opportunities for innovation and differentiation.