{"id":{"repo_id":"nps","oai_identifier":"oai:calhoun.nps.edu:10945/73425"},"canonical_url":"https://search.dev.ndltd.org/etd/nps/oai:calhoun.nps.edu:10945/73425","repository":{"repo_id":"nps","name":"Naval Postgraduate School","base_url":"https://calhoun.nps.edu/server/oai/request"},"display":{"title":"OPTIMIZING AFTER-ACTION REPORTS IN AIR FORCE CONTRACTING: ENHANCING OPERATIONAL INSIGHTS AND FUTURE MISSION PERFORMANCE","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.","abstract_html":"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_has_math":false,"creators":["Blakely, Indigo D.","Reyes, Anna E.","Napier, Philip W."],"institution":"Monterey, CA; Naval Postgraduate School","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Department of Defense Management (DDM)","school":null,"contributors":[],"advisors":["Porchia, Jamie M."],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-12","date_published":"2024-12","updated_at":"2026-07-27T20:25:08Z","subjects":[],"languages":[],"rights":["This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10945/73425","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Porchia, Jamie M."]},{"key":"dc:contributor.department","label":"Department","values":["Department of Defense Management (DDM)"]},{"key":"dc:creator","label":"Author","values":["Blakely, Indigo D.","Reyes, Anna E.","Napier, Philip W."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-02-12T16:14:48Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-02-12T16:14:48Z"]},{"key":"dc:date.issued","label":"Date","values":["2024-12"]},{"key":"dc:publisher","label":"Institution","values":["Monterey, CA; Naval Postgraduate School"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10945/73425"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:title","label":"Title","values":["OPTIMIZING AFTER-ACTION REPORTS IN AIR FORCE CONTRACTING: ENHANCING OPERATIONAL INSIGHTS AND FUTURE MISSION PERFORMANCE"]}]}],"canonical_facts":{"dc:contributor.advisor":["Porchia, Jamie M."],"dc:contributor.department":["Department of Defense Management (DDM)"],"dc:creator":["Blakely, Indigo D.","Reyes, Anna E.","Napier, Philip W."],"dc:date.accessioned":["2025-02-12T16:14:48Z"],"dc:date.available":["2025-02-12T16:14:48Z"],"dc:date.issued":["2024-12"],"dc:description.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."],"dc:identifier.uri":["https://hdl.handle.net/10945/73425"],"dc:publisher":["Monterey, CA; Naval Postgraduate School"],"dc:rights":["This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States."],"dc:title":["OPTIMIZING AFTER-ACTION REPORTS IN AIR FORCE CONTRACTING: ENHANCING OPERATIONAL INSIGHTS AND FUTURE MISSION PERFORMANCE"],"dc:type":["Thesis"]},"updated_at":"2026-07-27T20:25:08Z"}