Case Study

Data-driven organization sizing

Taking a data-driven approach to aligning over 1,500 employees to a new operating model design

A US government supply chain organization was transitioning over 1,500 employees into a new operating model. Employees which had previously performed generalist roles would move into functionally aligned specialist roles within the supply chain group. As leadership had limited visibility into the day-to-day tasks and resources generalist roles, it was challenged in identifying how many employees to deploy to each specialist role within the new model. 

The future operating model required realigning a workforce of over 1,500 generalist employees into functionally aligned roles and teams. The functionally aligned roles would continue to execute many of the existing supply chain activities, as well as newly designed and optimized processes. Since all job tasks were performed by generalists in the current state, the client was challenged with understanding the required resources to perform these tasks within a functionally aligned operating model. Furthermore, in practice the tasks performed varied widely across teams and the organization so there was little understanding of resource requirements. Accurately allocating resources under the new model required a highly structured and data-driven approach.

WP&C began by cataloguing and quantifying the full scope of work within the current generalist roles. WP&C developed a comprehensive inventory of all the processes, activities, and tasks performed and developed estimates for other ad hoc responsibilities that had to be performed by the generalists. This resulted in over 300 different activities being identified across the roles. WP&C then worked with leaders and employees throughout the organization to quantify the amount of time required to perform the various duties.

Next, the activities were mapped to the new standardized business processes and roles that were a part of the new operating model using a RASIC (Responsible, Accountable, Support, Inform, Consult) framework. The mapping enabled the team to have a comprehensive view of the tasks, processes, and roles which could be compared to their current operating model. WP&C then used the estimated time requirements for existing, as well as new activities, to develop a data-driven resource allocation model to quantify headcount for the new roles. The model considered factors such administrative burden, training, and over time, as well expected efficiency gains that would come from the specialized roles. After modeling headcount for each role, team size and supervisory span of control guidelines were used to shape the overall organization.

WP&C reviewed and fine-tuned the model with key members of the client leadership team to stress test the results and identify potential areas of risk. Leadership reviews resulted in minor adjustments to the model to mitigate identified risks through addition of small resource cushions for the most critical supply chain activities.

To right-size the future organization, WP&C recommended the following:

  • Develop a holistic, detailed understanding of required activities and resources required to execute the current tasks of the supply chain organization
  • Develop detailed linkages between current and future state roles to ensure there are no “dropped balls” during the transition
  • Develop a resourcing model based on real world task performance data and projected efficiencies for optimized business processes
  • Identify where under resourcing would pose the greatest risk to future operations and integrate resource cushions where appropriate
  • Involve key client stakeholders in the process to ensure leadership and organizational buy-in of the resource plan
  • Conduct a definitive review 90 to 180 days after implementation to evaluate task loading for the new roles and adjust resource allocations as needed

Army Data-driven organization sizing

  • Over 1,500 employees were reassigned to new positions without any interruption to supply chain operations
  • Modeled headcounts enabled execution of the new processes under the new operating model with no adjustments or backfilling during the transition
  • The activity inventory and RASIC framework is used to strengthen discipline and process execution of new roles, ensuring employees do not revert to executing generalist role responsibilities

The future operating model required realigning a workforce of over 1,500 generalist employees into functionally aligned roles and teams. The functionally aligned roles would continue to execute many of the existing supply chain activities, as well as newly designed and optimized processes. Since all job tasks were performed by generalists in the current state, the client was challenged with understanding the required resources to perform these tasks within a functionally aligned operating model. Furthermore, in practice the tasks performed varied widely across teams and the organization so there was little understanding of resource requirements. Accurately allocating resources under the new model required a highly structured and data-driven approach.

WP&C began by cataloguing and quantifying the full scope of work within the current generalist roles. WP&C developed a comprehensive inventory of all the processes, activities, and tasks performed and developed estimates for other ad hoc responsibilities that had to be performed by the generalists. This resulted in over 300 different activities being identified across the roles. WP&C then worked with leaders and employees throughout the organization to quantify the amount of time required to perform the various duties.

Next, the activities were mapped to the new standardized business processes and roles that were a part of the new operating model using a RASIC (Responsible, Accountable, Support, Inform, Consult) framework. The mapping enabled the team to have a comprehensive view of the tasks, processes, and roles which could be compared to their current operating model. WP&C then used the estimated time requirements for existing, as well as new activities, to develop a data-driven resource allocation model to quantify headcount for the new roles. The model considered factors such administrative burden, training, and over time, as well expected efficiency gains that would come from the specialized roles. After modeling headcount for each role, team size and supervisory span of control guidelines were used to shape the overall organization.

WP&C reviewed and fine-tuned the model with key members of the client leadership team to stress test the results and identify potential areas of risk. Leadership reviews resulted in minor adjustments to the model to mitigate identified risks through addition of small resource cushions for the most critical supply chain activities.

To right-size the future organization, WP&C recommended the following:

  • Develop a holistic, detailed understanding of required activities and resources required to execute the current tasks of the supply chain organization
  • Develop detailed linkages between current and future state roles to ensure there are no “dropped balls” during the transition
  • Develop a resourcing model based on real world task performance data and projected efficiencies for optimized business processes
  • Identify where under resourcing would pose the greatest risk to future operations and integrate resource cushions where appropriate
  • Involve key client stakeholders in the process to ensure leadership and organizational buy-in of the resource plan
  • Conduct a definitive review 90 to 180 days after implementation to evaluate task loading for the new roles and adjust resource allocations as needed

Army Data-driven organization sizing

  • Over 1,500 employees were reassigned to new positions without any interruption to supply chain operations
  • Modeled headcounts enabled execution of the new processes under the new operating model with no adjustments or backfilling during the transition
  • The activity inventory and RASIC framework is used to strengthen discipline and process execution of new roles, ensuring employees do not revert to executing generalist role responsibilities

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