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Self-Assessment in Training and Exercise

Technical Report
In this report, the authors introduce an approach to performance evaluation that focuses on self-assessment.
Publisher

Software Engineering Institute

CMU/SEI Report Number
CMU/SEI-2024-TR-002
DOI (Digital Object Identifier)
10.1184/R1/26060911

Abstract

In this report, we introduce an approach to performance evaluation that focuses on self-assessment. We find that this approach provides both greater information fidelity to satisfy performance assessment objectives and the enhanced realism that cyber operators desired in training and exercise (T&E) activities. We implement a popular incident response tool that enables team members to record their actions and thought processes and facilitate assessing the team’s abilities. To further validate our approach, we conducted a survey of participants who used the tool to gather qualitative feedback on its effectiveness. The results of this survey highlight the perceived improvements in realism, the usefulness of self-assessment tools, and the overall impact on team dynamics and individual growth. This combined approach provides valuable insights into team performance, enables best practices to be identified, supports the refinement of mitigation strategies, and fosters actionable feedback for learning. By promoting self-assessment within a realistic T&E environment, this method improves overall team performance in cybersecurity operations by maximizing feedback on individual skills and leadership competencies.

Cite This Technical Report

Updyke, D., Podnar, T., Yarger, J., & Huff, S. (2024, October 24). Self-Assessment in Training and Exercise. (Technical Report CMU/SEI-2024-TR-002). Retrieved October 27, 2024, from https://doi.org/10.1184/R1/26060911.

@techreport{updyke_2024,
author={Updyke, Dustin and Podnar, Thomas and Yarger, John and Huff, Sean},
title={Self-Assessment in Training and Exercise},
month={Oct},
year={2024},
number={CMU/SEI-2024-TR-002},
howpublished={Carnegie Mellon University, Software Engineering Institute's Digital Library},
url={https://doi.org/10.1184/R1/26060911},
note={Accessed: 2024-Oct-27}
}

Updyke, Dustin, Thomas Podnar, John Yarger, and Sean Huff. "Self-Assessment in Training and Exercise." (CMU/SEI-2024-TR-002). Carnegie Mellon University, Software Engineering Institute's Digital Library. Software Engineering Institute, October 24, 2024. https://doi.org/10.1184/R1/26060911.

D. Updyke, T. Podnar, J. Yarger, and S. Huff, "Self-Assessment in Training and Exercise," Carnegie Mellon University, Software Engineering Institute's Digital Library. Software Engineering Institute, Technical Report CMU/SEI-2024-TR-002, 24-Oct-2024 [Online]. Available: https://doi.org/10.1184/R1/26060911. [Accessed: 27-Oct-2024].

Updyke, Dustin, Thomas Podnar, John Yarger, and Sean Huff. "Self-Assessment in Training and Exercise." (Technical Report CMU/SEI-2024-TR-002). Carnegie Mellon University, Software Engineering Institute's Digital Library, Software Engineering Institute, 24 Oct. 2024. https://doi.org/10.1184/R1/26060911. Accessed 27 Oct. 2024.

Updyke, Dustin; Podnar, Thomas; Yarger, John; & Huff, Sean. Self-Assessment in Training and Exercise. CMU/SEI-2024-TR-002. Software Engineering Institute. 2024. https://doi.org/10.1184/R1/26060911