Overview
The Metrics Detail dashboard serves users to obtain a holistic view of the project's environment processes, tasks, and application usage. Most metrics display graphics that show their behavior over the chosen time frame.
Users can filter the category (defined in Bizagi Studio as grouping method for processes) or the process itself, to analyze by selecting the desired one on the drop-down menus on the top of the dashboard.
Pay close attention to the metrics below marked in red. When there is information listed in these panels, there are actions that can be taken.
Key Process Metrics
Delayed Manual Tasks Per Process
This widget presents the number of delayed manual tasks per process over the specified time interval. The metric is calculated by summing the delayed manual work items for each process, with data updated every minute. The metric provides calculations such as mean over each hour, maximum observed over an hour, and the last observed value over an hour.
Async Tasks In Console Per Process
This widget presents the number of asynchronous tasks in the Async Task console, per process over a specified time interval. The metric is calculated by summing the asynchronous tasks for each process, with data updated every minute. The metric provides calculations such as mean over each hour, maximum observed over an hour, and the last value observed over an hour.
Reassigned Tasks Per Process
This widget displays the total number of tasks that have been reassigned within the given time frame. The metric provides insight into task management and workflow adjustments, highlighting areas where task reallocation is occurring.
Disabled Jobs Per Process
This widget shows the total number of jobs that have been disabled. This provides insight into workflow interruptions and helps identify areas where job execution has been halted, requiring human interaction to move forward.
Cases Per Process & Category
Creation Per Process
This widget displays the number of cases created per process over the specified time interval. It is calculated by summing the created cases for each process within an hour. The metric provides calculations for the mean of cases created per hour, the maximum number of cases observed over an hour, and the total for the specified period.
Creation Per Category
This widget shows the number of cases created per category, defined in Studio, over the specified time interval. The metric is calculated by summing the created cases for each category within an hour. The metric provides calculations for the mean of cases created per hour, the maximum number of cases observed over an hour, and the total for the specified period.
Workitems Per Process & Category
Workitems Per Process
This widget displays the number of Workitems closed per process over the specified time interval. It is calculated by summing the closed Workitems for each process within an hour. The metric provides calculations for the mean of Workitems closed per hour, the maximum number of Workitems observed over an hour, and the total for the specified period.
Workitems Per Category
This widget shows the number of Workitems closed per category, defined in Studio, over the specified time interval. The metric is calculated by summing the closed Workitems for each category within an hour. The metric provides calculations for the mean of Workitems created per hour, the maximum number of Workitems observed over an hour, and the total for the specified period.
Manual Tasks Per Process
This widget shows the number of manual tasks closed per process over a specified time interval. The metric is calculated by adding the manual work items closed for each process within an hour. The metric provides calculations for the mean of Manual Tasks closed per hour, the maximum number of Tasks closed observed over an hour, and the total for the specified period.
Automatic Tasks Per Process
This widget displays the number of automatic tasks closed per process over a specified time interval. The metric is calculated by summing the automatic work items closed for each process within an hour. The metric provides calculations such as mean of closed automatic tasks over an hour, maximum observed over an hour, and the total observed value during the time frame chosen.
Apps Usage Metrics
Apps Used
This widget shows the count of distinct Bizagi Apps used within a specified timeframe. It calculates the metric by filtering logs to identify unique applications accessed. The result provides insight into application engagement and utilization.
Apps Users
This widget displays the number of distinct users interacting with applications over the given period. The metric is derived by filtering data to count unique user profiles accessing the applications, providing an overview of user engagement and activity levels.
Hourly Apps Users
This widget represents the number of users accessing applications on an hourly basis. This metric helps in understanding user engagement patterns throughout different hours of the day, allowing for analysis of peak usage times.
Usage Per App
This widget provides a breakdown of usage per application. The metric is calculated using the counts associated with each app, updated every 15 minutes. The legend displays percentages for comprehensive analysis.
AI Usage Metrics
AI Agents Used
This widget displays the number of unique AI agents currently being used in the project. Think of it as a headcount of distinct AI agents.
AI Agents Operations
This metric tracks the total number of actions or tasks performed by the AI agents. Unlike the "AI Agents Used" metric, this one counts every operation, regardless of whether multiple operations are performed by the same agent.
Ask Ada Chats
This widget displays the number of chats initiated with Ask Ada during the specified time.
Ask Ada Users
This widget shows the number of users interacting with Ask Ada during the specified time.
Hourly AI Agents Operations Per Agent
This widget provides a breakdown of the number of operations executed by each AI agent on an hourly basis. The data is aggregated and displayed using the count of operations, summarized per hour for each agent.
Hourly Ask Ada Users
This widget tracks the number of unique users interacting with Ask Ada on an hourly basis. The data is aggregated by counting distinct users for each hour.
Hourly AI Agents Operations Per Process
This widget displays the number of operations conducted by AI agents, categorized by process, on an hourly basis. The data is aggregated and presented as a count of operations per hour for each distinct process.
Hourly Ask Ada Chats Per App
This widget shows the number of chats initiated through Ask Ada, categorized by application, on an hourly basis. The data is aggregated as a count of chats per hour for each distinct application.
Last Updated 5/21/2025 9:42:54 AM