1.Surveys: Collect user satisfaction via brief surveys. Usability Testing: Observe users to find issues. 2.Beta Testing: Release beta versions for feedback. In-App Feedback: Use in-app forms or chatbots for input. 3.Analytics: Monitor user behavior for patterns. Support Analysis: Review tickets for common issues. Interviews: Conduct user interviews for detailed feedback. 4.Community Engagement: Engage in forums and social media. 5.NPS Surveys: Measure loyalty with Net Promoter Score. 6.A/B Testing: Test design variations to see what works.

While you gather user feedback from your external customers and users, make sure that indeed you are reaching out to the end users and not just customers representatives. Further, make sure to cover also your internal users and customers, like all the ops teams as well as your data and BI that gather logs and reports out of the system. They should be considered as users and customers as well!

Actually, I think user data can be used to understand how the global user thinks and go through the app. Then, surveys can confirm it for users who really use the app. It’s also possible to launch a beta version on which users can be retained to unlock more data.

If the fundamentals of the design have been created keeping personas in the mind, it will become easier to get the targeted user feedback which in turn will help in refining the design effectively.

Combining usability testing with analytics has been incredibly effective for refining designs. Usability testing provides real-world insights, while analytics offer objective trends to guide decisions. I also believe in creating feedback loops to show users that their input makes a difference (this encourages continued engagement, builds trust, and strengthens the connection between users and the product).

I believe in direct feedback and test new ideas , taking in consideration the big picture and the relationship between entities either on database level or workflow aspect

Clarify Objectives: Begin by addressing key questions: What is the purpose of the application? How will the end users interact with it? What performance benchmarks should it meet? Analyze Usage Data: Collect and analyze metrics such as the volume of requests over specific time frames and usage patterns for particular application features. Tools like Tableau can be utilized to visualize and interpret these insights effectively. Engage Directly with Users: Solicit feedback directly from end users to identify pain points, understand feature preferences, and uncover opportunities for improvement. This ensures the design evolves to meet real-world needs.