Productivity Reports



Use the date filters to filter for a specific range based on when the ticket was created.

Use the Ticket Status filter to filter for a specific ticket status, or multiple ticket statuses.

We strongly recommend you account for productivity based on closed tickets only, because once a ticket is closed the date will no longer change, and you know the ticket has been paid in full. We went so far as to make those the default filters for the reports, because we feel it is the most reliable method in this business model.

Use the Ticket Resolution filter to filter for a specific ticket resolution, or multiple ticket resolutions.


Use the Location filter to filter for tickets at specific stores.

Use the Ticket Item filters to filter the report based on when ticket items are sold (regardless of ticket dates), and filter the report for specific Item Type(s) or Catalog Item(s).

Repairs by Device

The Repairs by Device Report provides a look at items used to repair particular devices.   

Note: This report pulls data based on the "Used for Device" Ticket Item Relation.

Repairs by Tech

The Repairs by Tech Report provides a high-level look at a technician's work, showing total repairs and Labor Hours used for those repairs.

Repairs by Tech and Item

The Repairs by Tech and Item Report provides a more detailed look at a technician's work, showing number of repairs done for each Catalog Item with Cost and Profit data.

Note: These Reports pull data based on the "Repaired By" Ticket Item Relation.



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  • 0
    Daniel Champion

    Right now these productivity reports are not reliable for analyzing staff productivity. This is due to the fact that a significant number of repairs are either taken in or closed out by staff members while logged in to a repairq account that is not their own.

    It's much too easy to forget to change users when you have a lobby full of customers, as well as a plethora of other reasons as to why it's not reasonable to rely on these 'statistics' as the user system currently stands. 

    The framework is there for analysis of staff performance, but the data is mostly suspect if not entirely incorrect as pertains to each individual staff member.

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