Skip to main content
Procore

View the Defect List Dashboard

  1. Last updated
  2. Save as PDF

Objective

To view and interpret the Defect List dashboard.

Background

The Defect List dashboard provides you with an interactive collection of visual graphs and charts to help you locate a project's defect list items so you can quickly take action on them.

Things to Consider

  • Required User Permissions:
    • 'Read Only' level permissions or higher on the project's Defect List tool.

Demo

demo-punch-dash.gif

Steps

  1. Navigate to the project's Defect List tool.
  2. Click My Items or All Items to view the corresponding dashboard.
    • Status. An interactive chart displaying the distribution of defect items by their workflow status.
    • Items by Company. An interactive chart displaying all assignee companies with defect items by status of Open, Closed or Overdue.
    • Average Response Time. Displays the average response time of assignees for defect items by calculating the average number of days it takes a defect item to go from 'Work Required' to 'Ready to Review'.
    • Total Overdue Defect List Items. Displays the total number of defect list items currently Overdue.

      punch-list-dashboard.png
  3. Interact with the dashboard as follows:
    • View details about the data by hovering the mouse cursor over a chart element.
      OR
    • Click a chart element to narrow the data in view by the selected item.  
  4. (Optional) Apply filters to the dataset as follows:
    1. Click Add Filter and select an option from the drop-down list. The filters you can apply include:
      • Assignee
      • Assignee Company
      • Assignee Response
      • Ball In Court
      • Closed By
      • Creator
      • Date Closed
      • Date Created
      • Date Due
      • Date Notified
      • Final Approver
      • Location
      • Priority
      • Defect Item Manager
      • Status
      • Trade
      • Type
    2. Apply a secondary filter by selecting the desired checkboxes in the drop-down list. 
    3. Click Clear All to remove any filters that have been applied to the dataset.