Objective: To enhance the process explorer in the process mining tool by providing a preview of the connection duration distribution when a user clicks on the connection between two activities. This feature aims to give better visibility into the impact of connection durations on the overall process performance.
Description: In the current process explorer, users can explore connections between various activities. However, understanding the duration and distribution of these connections can be challenging without detailed analysis. To address this, I propose a feature that displays a histogram preview of the connection duration distribution upon clicking a connection between two activities in the process explorer.
Key Features:
Interactive Connection Preview:
When a user clicks on a connection between two activities in the process explorer, a pop-up or side panel appears showing a histogram of the connection duration distribution.
Histogram Display:
The histogram provides a visual representation of how connection durations are distributed, highlighting the frequency of different duration ranges.
The histogram will include key statistical information such as mean, median, and standard deviation of the connection durations.
Impact Analysis:
The preview will also show how these connection durations impact the overall process performance, helping users identify bottlenecks and inefficiencies.
Annotations or markers on the histogram will indicate outliers or exceptionally long connection durations that could be critical in process improvement.
User Customization:
Users can customize the histogram view, selecting different time ranges, bin sizes, and comparison metrics to tailor the analysis to their specific needs.
Export and Reporting:
Users can export the histogram and its data for reporting and further analysis, ensuring that insights gained from the preview can be shared and acted upon.
Benefits:
Enhanced Visibility: Provides immediate visual insight into connection durations, making it easier to identify and address process inefficiencies.
Data-Driven Decisions: Empowers users with actionable data, facilitating informed decision-making for process improvements.
User-Friendly Interface: Offers an intuitive and interactive way to explore process data, enhancing the overall user experience.