How to Automate UX Reporting & Analysis
What is Automated Reporting?
Automated reporting happens when software collects usability metrics and test results in real time without the need to manually enter data. This allows you to view and analyze both quantitative and qualitative results at any time during the data collection process, and then export reports in shareable formats with a single click.
Why do you need this type of reporting?
Traditional in-lab usability testing means manually recording what the participants do and say. With remote unmoderated user testing tools, the software allows for automation of data collection for multiple participants simultaneously – automatically recording users’ sessions (screens/audio/facial features), tracking behavioral data like clickstreams and heatmaps, and gathering verbatim comments along with usability metrics such as success rates and time on task.
In short, automated reporting reduces the time to generate reports by 80% or more when compared to in-lab testing by automatically collecting data in real time, meaning analysis and addressing usability issues can happen that much sooner. It also frees up your researchers to do what they do best – be researchers, not stenographers.
When is automated reporting available?
You can conduct automatic reporting throughout the testing phase. As results come in real time, researchers can monitor data to identify emerging trends. For example, if you’re testing with 1,000 participants you can run a report on the first 30 users and have an early findings report ready for executives the same day. With automatic reporting and data collection, analysis no longer has to wait for all the data to be in.
What results do you get?
See a summary view of your task(s)
Browse individual responses
View dynamic charts
Use sort and filter options to analyze specific data views and segments
Easily download your results in multiple formats
What’s unique about reporting and analytics with UserZoom?
What’s unique about reporting and analytics with UserZoom is the ability to create filtered subsets of data quickly and easily. For example, if you wanted to only view the results for participants who failed at a task in order to better understand their experiences, it’s as simple as filtering the results for that outcome. And that’s only scratching the surface.
Now let’s say you have a survey questionnaire in your study asking participant’s age, gender, and shopping habits. You can create a customized filter for a single survey response or combination of responses, meaning you can hone in on male participants aged 18-26 who purchase small electronics online from a specific store and who failed at a task, and only see the results that match your filter criterion. This segmentation allows you to create and understand your different buyer and customer personas.
Time is money, as the old adage goes; save both by automating your data collection and being able to export reports with the click of a button. Perfect for agile sprints where hypotheses are tested with users and iterations developed in a short time frame.
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