A Lean-Guided Micro-Credential Framework for Optimizing Decision Support and Process Efficiency in Public Governance

Abstract

Public governance demands increasingly efficient decision support frameworks to address complex institutional challenges and promote sustainable outcomes. This paper proposes a Lean-guided micro-credential model integrated with a digital information system for public governance, aiming to optimize administrative processes, enhance decision-making, and foster continuous professional development. A mixed-method research strategy was adopted, combining document analysis, semi-structured interviews with managerial-level public servants, focus groups, and quantitative metrics extracted from the digital learning platform. The project unfolded in three phases. The first consisted of an exploratory diagnosis using thematic content analysis to map process inefficiencies, training gaps, and institutional bottlenecks. The second involved the design and implementation of a pilot program structured through Lean-guided micro-credentials, each module requiring 20 to 30 hours and delivered via a Learning Management System (LMS) following Universal Design for Learning principles. The platform featured real-time monitoring of module completion, automated generation of micro-credentials, and mobile accessibility, which accounted for over 50% of user access. The third comprised impact evaluation through data triangulation, cross-referencing platform engagement statistics, qualitative findings, and documentary analysis of administrative performance indicators. The study was conducted in a Brazilian federal institution as a case study in sustainable policy implementation, involving 37 public servants across diverse regional and hierarchical profiles. Data analysis relied on descriptive statistics and qualitative triangulation, given the exploratory nature of the study. Results showed higher completion rates and engagement compared to traditional formats, with measurable improvements in workflow efficiency and adoption of digital tools for data-driven decision-making. This provides a replicable decision support framework for public sector training modernization.