During working with various organizations that have deployed performance dashboards, we have discovered four major success factors in implementing them successfully: (1) proper sponsorship and adequate resources for the project; (2) creating the right metrics and standardizing their meaning; (3) designing a compelling user interface and the proper technical infrastructure to manage the metrics collection and analysis processes; and (4) planning to ensure end-user adoption and managing organizational change.

In this blog, we would like to briefly address the second factor: creating the right metrics and standardizing their meaning. Organizations should invest time developing a well-rationalized, well-balanced set of leading indicators and operational metrics aligned with their strategic objectives and priorities. This step is crucial when implementing a sound performance management capability. Here are a few tips on how to start:

Where to start?

The process of defining metrics should always start with the analysis of your strategic plan, goals, priorities, and outcomes. From there, your need to conduct research of your organizational structures and processes to determine the following types of metrics:

Outcome metrics describe the benefit of the service to the customer and what was changed or accomplished as a result of the service.

  • Input metrics are the resources used to produce an output.
  • Output metrics address what was produced or provided.
  • Efficiency metrics present inputs used per unit of output, such as the cost per unit, where the input is in money/dollars or productivity, where the input is staff hours per unit of output.
  • Service Quality metrics measure customer satisfaction, timeliness, and/or service accuracy. 

How to define them?

One of the most challenging tasks in creating metrics is defining their meaning. Some of the most commonly defined terms within the organization are sometimes the hardest to refine. What is the definition of a customer, someone who purchased a product sometime in the past or only within the last 12 months? What is the cost to produce/serve XYZ? What components comprise those costs? We have developed a Business Performance Metric Collection Template (see below) to assist you with this process. It provides performance managers with a consistent format and questions to gather comprehensive information that can be easily analyzed.

How many metrics to define?

There is no hard and fast rule on how many metrics to define.  The number of metrics depends on many factors: the complexity of the process being monitored, the nature of data and degree of automation, the type of users and their skills, and the maturity of the process. Once the KPIs and metrics are defined, you need to cull the number of performance metrics to a manageable number because managing too many metrics dilutes focus and confuses efforts. People can become less efficient and effective.

There is a tendency for organizations to create metrics but not delete them. There should be a process by which the performance team periodically evaluates metrics against the criteria specified below and refines or retires those that are no longer useful or relevant.

How to prioritize metrics?

To distill metrics, the performance management team might want to develop prioritization criteria (e.g., Linked to Strategy, Drives Behavior, Actionable, Easy to Understand, Data Quality, Standard Definition) along with the assigned weight (e.g., 1.0, 0.8) associated with each criterion and then rate the metrics (1 - does not meet the requirement; 5 - meets the requirement). This will allow you to evaluate proposed metrics and then select and track only those that truly impact business outcomes.

Performance_Metrics_Data_Collection

 

This template is designed to assist you with the performance metric collection process. It provides managers with a consistent format and questions to gather comprehensive information that can be easily analyzed.

Click Here to Download

 

 

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