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Methodology to Identify Lessons Learned


Added by:   National contact point
Added on:   09 Jul 2025
Updated by:   OECD analyst
Updated on:   09 Jul 2025

The project seeks to improve the capture of lessons learned in organizations, avoiding the repetition of errors and promoting continuous improvement. Many companies do not document learning due to fear, emotions or lack of time. ChatGPT was trained with a methodology to formulate lessons objectively and quickly, reducing tensions in meetings and improving accuracy. It benefits project teams by generating useful knowledge without friction or long consensus processes.

Name in original language

Metodologia para identificar lecciones aprendidas

Initiative overview

Many organizations do not document or analyze their lessons learned for fear of criticism, sanctions, or simply because of time pressure on projects. This leads to the repetition of errors and the loss of opportunities for improvement. In addition, the lack of an organizational culture that encourages reflection prevents the generation of useful knowledge for future initiatives. The objective is to systematize the identification and documentation of lessons learned through artificial intelligence (AI), specifically ChatGPT, to ensure an objective, structured, and efficient process. The aim is for teams to be able to record positive and negative experiences without bias or tension, allowing for continuous improvement in project management. AI is expected to facilitate the identification of lessons learned in minutes, optimizing decision-making. In addition, the knowledge generated is expected to be reused in new projects, institutionalizing a learning management process that encompasses identification, documentation, dissemination, reuse, and evaluation. In the long term, the impact of using these lessons to improve organizational efficiency and evidence-based decision-making will be measured. Initially, lessons learned were identified through meetings between participants. However, the lack of a culture of sharing mistakes made consensus difficult. To overcome this barrier, AI was implemented to generate lessons learned objectively and without personal judgment. Today, the process has evolved into a more structured system that includes identification, documentation, dissemination, and evaluation of organizational learning.

Name of responsible organisation (in English)

OSIPTEL

AI Tags

Innovation

About the policy initiative


Organisation:

  • OSIPTEL

Category:

  • National – AI policy initiatives, regulations, guidelines, standards and programmes or projects

Initiative type:

  • Monitoring the impact of AI in the labour market

Participating organisations:


Participating countries:


Status:

  • Active

Start Year:

  • 2024

Binding:

  • Non-binding

Other relevant urls: