How to access, filter, and read the Confusion Analytics Report
To access it;
- Sign in to YesElf Console
- Open the application you would like to work on
- Click on the Analytics tab
- Click on the Visitor Confusion sub-tab.
At first glance, you will see two sections. The top part is where you can configure the time range and sampling frequency. And the bottom section is the responsive graph, which reflects data under applied filters.
How to Configure the Filter
For a tailor-made report, you have two filtering options. One is the time range, and the other one is the sampling frequency.
Read about: How to Configure the Time Range Filter
Read about: How to Configure the Guides Filter
Now that you have finished the defining factors you would like to include in the graph, YesElf automatically prepares you below.
Above, you see a YesElf Visitor Confusion sample, created from the SAP Concur application over the last three months.
Tip: Notice that the Graph is interactive, and when you hover the mouse over, it shows the Confusion Ratio and Confusion Level in a chosen time period.
What this graph tells us is:
- Digital footprint or digital shadow refers to your unique set of traceable digital activities, actions, contributions, and communications manifested on the application. YesElf collects the digital footprints from visitor activities while they are visiting your application. Such as click, mouse movements, scrolling, time spent, etc. These collections are then processed and interpreted by the YesElf AI and ML, and they get flagged as confused.
- Each visitor may be flagged as confused several times.
- If the visitor is not flagged as confused, they will not be included in these graphs.
- The confusion Ratio shows the percentage of visitors who are flagged as confused against all visitors.
- Confusion Level shows the average number of how many times the flagged visitors are confused.
- For example, on the week starting June first; the Confusion Rate shows as 78% means 78% of all the visitors on that week were flagged as confused at least once, and the Confusion Level shows as 1278, representing each of the visitors who are flagged as confused were confused on average 12.78 times inf the given time period.
- As you can see, there are two high spikes on the graph. These spikes can be interpreted in a meaningful way. With the combination of application history, recently made changes such as product rollouts, added new features, etc.