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Reported work orders per day

Shows the average number of work orders reported per day during the specified period.

What is it?

The key figure shows the average number of work orders reported or recorded each day during a specified time period. It provides insights into how often maintenance or service needs are reported and require action from property management.

This metric is useful for assessing the workload and resource requirements to handle these work orders, as well as for monitoring reactive maintenance.

How is it calculated?

Number of reported work orders / Number of days = work orders/day

* Includes only those work orders where work orders were reported within specified period.

Why is it important to follow?

One should follow the key figure for the following reasons:

  1. Effective resource allocation: By monitoring the number of reported work orders per day, technical management can optimize resource allocation. It helps ensure that sufficient staff and resources are available to handle the incoming work orders efficiently.

  2. Customer satisfaction: A high number of reported work orders per day indicates that tenants have frequent problems with their rental property. By responding quickly and effectively to these reports, technical management can improve customer satisfaction and retain happy tenants.

  3. Preventive maintenance: An increase in the number of work orders reported per day can also indicate the need for preventive maintenance actions to reduce the number of future problems. It helps prevent major and more expensive repairs in the future.

In summary, the key figure provides valuable information about workload, customer satisfaction and efficiency in property management. It helps make informed decisions and strategies to manage maintenance and service needs effectively.

Technical management
Work orders
  • Created by Homepal

    8/31/2023

  • This KPI is created and modified by us at Homepal using our own, made up demo data. The concept and idea comes from one of our customers.

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