OPTIMIZING AFTER-ACTION REPORTS IN AIR FORCE CONTRACTING: ENHANCING OPERATIONAL INSIGHTS AND FUTURE MISSION PERFORMANCE
type: CreativeWork
description: This research examines how the Department of the Air Force (DAF) Contracting can enhance its After-Action Report (AAR) process to systematically capture, analyze, and apply operational insights for improved mission performance. The hypothesis posits that a structured, stakeholder-driven approach to AARs can address gaps and provide actionable outcomes that enhance readiness and adaptability in a dynamic threat environment. Using the Hacking-for-Defense™ methodology within the Lean Launchpad framework, the study employed systems thinking to analyze stakeholder needs and operational requirements across DAF Contracting. Key methods included developing a standardized, adaptable AAR template and a proof-of-concept for text analysis using artificial intelligence to derive actionable insights. Results indicate that effective AAR optimization requires leadership advocacy, centralized data systems, targeted training, and ongoing stakeholder collaboration. Conclusions highlight the critical role of structured AAR processes in supporting mission success and organizational learning. Recommendations include immediate implementation of the developed solutions, integration into the Air Force Force Generation (AFFORGEN) model, and future research to expand automation and scalability. This study demonstrates that systematic improvements to the AAR process are feasible, impactful, and essential for DAF Contracting to meet evolving mission demands.
abstract: This research examines how the Department of the Air Force (DAF) Contracting can enhance its After-Action Report (AAR) process to systematically capture, analyze, and apply operational insights for improved mission performance. The hypothesis posits that a structured, stakeholder-driven approach to AARs can address gaps and provide actionable outcomes that enhance readiness and adaptability in a dynamic threat environment. Using the Hacking-for-Defense™ methodology within the Lean Launchpad framework, the study employed systems thinking to analyze stakeholder needs and operational requirements across DAF Contracting. Key methods included developing a standardized, adaptable AAR template and a proof-of-concept for text analysis using artificial intelligence to derive actionable insights. Results indicate that effective AAR optimization requires leadership advocacy, centralized data systems, targeted training, and ongoing stakeholder collaboration. Conclusions highlight the critical role of structured AAR processes in supporting mission success and organizational learning. Recommendations include immediate implementation of the developed solutions, integration into the Air Force Force Generation (AFFORGEN) model, and future research to expand automation and scalability. This study demonstrates that systematic improvements to the AAR process are feasible, impactful, and essential for DAF Contracting to meet evolving mission demands.
author: Blakely, Indigo D.
author: Reyes, Anna E.
author: Napier, Philip W.
date published: 2024-12
date modified: 2026-07-27T20:25:08Z
provider: Naval Postgraduate School
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Monterey, CA; Naval Postgraduate School

PropertyValue
property ID: Handle
value: https://hdl.handle.net/10945/73425