Monitoring Pending Activities

The Pending Activities view gives an overview of all open activities according to participants.

Figure: The Pending Activities View

All open activities for all users belonging to the same organization as the logged-in user are displayed. Per default, not more than the top five participants are displayed in the columns. To add or remove participants from the columns, open the Select Columns dialog, which is described in chapter Selecting and Reordering Columns in Tables.

Overview of Open Activities

You have an overview over:

• Total Open Activities: number of all open activities assigned to the participant.
• Critical Open Activities: critical open activities assigned to the participant. Please refer to section Criticality of chapter Viewing Activity and Process Instances categorized by Priorities for detailed information on how the criticality of activities is determined.

The open activities are displayed with the following information:

• Today - number of pending activities today
• Yesterday - number of pending activities yesterday
• Average per Month - (sum of number of all pending activities per each day of the month viewed except today) / ((number of total days of the month viewed excluding the actual day) + (number of processes of all models in the database))

Example Scenario for Average per Month Calculation

The following scenario describes how the average per month value is calculated:

1. Three days ago a user created 200 activity instances and suspended them.
2. Two days ago the user created 200 activity instances and suspended them, so we have 400 altogether.
3. Yesterday the user created 100 activity instances and suspended them. 500 pending activities are displayed for yesterday.
4. Today the user created 30 activity instances and suspended them. Thus we have 530 pending activities for today, but these play no role in the calculation as it is based on the history of pending activities.

Say the actual month has 31 days. The number of processes of all models in the database is two. The calculation for the average per day column would be:

(200 + 400 + 500) / (31 * 2) = 17.74