Personnel Productivity

Military Training: IDA conducts assessments to evaluate and improve military training. Examples include…


Readiness and Productivity 01

Evaluating unit training distractions and quantifying the time spent on non-core military activities

Identifying core irregular warfare training skills that the DoD should maintain following OEF/OIF

Assessing the incorporation of foreign language, regional expertise, and cultural content into professional military education

Examining the interagency knowledge and skills of both military and civilian senior executives

Conducting a quantitative and qualitative return on investment of the military service academies

Research Spotlight: Achieving years of Navy IT training and experience in just four months


Readiness and Productivity 02

IDA’s analysis of the DARPA Digital Tutor found that sailors who used this novel training system in a 16-week course substantially outperformed technicians with years of experience and graduates of a traditional 35-week training on a range of troubleshooting tests

See our report and publication in the Review of Educational Research(Open external link)(Open external link)

Measuring Readiness: Metrics to enable leaders to track readiness levels and predict operational capacity


Readiness and Productivity 03

Tracking readiness
Using 10 years of monthly readiness reporting, IDA identified where drivers of readiness ratings were masked by aggregated, higher level reports. IDA suggested alternative metrics to enable leaders to verify that readiness levels were improving

Operational capacity
IDA investigated the demand associated with operational plans, including the sequencing of forces, component, and readiness levels. IDA’s model provided a means to see where investments in readiness levels, by component, could enable force elements to meet faster demand timelines

Research Spotlight: How do Full-time Support (FTS) personnel affect Army National Guard (ARNG) readiness?


Readiness and Productivity 04

IDA modeled ARNG soldiers’ individual readiness as a function of the number of FTS personnel assigned to a unit. Results showed a robust, positive effect of FTS personnel on readiness of soldiers in their unit, with larger impacts in units with fewer FTS personnel. The analysis helped ARNG leaders understand the payoffs to their personnel investments and more effectively allocate FTS personnel to generate and maintain readiness

See a summary of IDA’s report here

Workforce Mix

DoD Civilian Workforce: Developing new approaches to improve DoD civilian hiring and retention processes


Readiness and Productivity 06

 

Examples include…
Identifying barriers in the hiring process, mis-alignment of authority, and inefficiencies in compensation policies

 

Proposing new talent management principles to hire, develop, and retain quality civilian leaders

Understanding DoD’s requirement for digital engineering personnel, and describing the costs and benefits of programs and structures to managing their education, training, careers, and compensation

Workforce Mix: IDA’s research helps DoD efficiently meet readiness objectives and build a capable joint force


Readiness and Productivity 05

Which jobs are best suited for personnel versus technology solutions?

Should a position be filled by military, civilian, or contractor personnel?

If military, should it be in the Active or Reserve Component?

And does the position require an officer, warrant officer, or enlisted service member?

Research Spotlight: Operational assessments of Reserve Component (RC) forces in Iraq and Afghanistan


Readiness and Productivity 08

In a series of studies, IDA compared active and reserve component organizational performance during OPERATION IRAQI FREEDOM (OIF) and OPERATION ENDURING FREEDOM (OEF). Metrics derived from multiple classified and unclassified databases revealed that reserve component forces often equaled or surpassed active component performance. This finding suggests areas for potential force mix changes with less operational risk.

Learn more in our full reports: OIF, OEF

Research Spotlight: Developing a model for force structure planning under uncertain requirements


Readiness and Productivity 07

The optimal future force size and Active/Reserve Component mix depends on operational requirements. However, future requirements are uncertain. The SARA model estimates how well various force structures can meet demand, and relates force structure decisions to operating costs and recruiting requirements. By characterizing force structures in the risk-cost space, the model provides a method to balance the risk of operational shortfalls with the costs of maintaining a larger force.

See our report to learn more