This skill empowers users to perform rigorous Learning Needs Analysis (LNA) by evaluating learner demographics, identifying performance gaps, and synthesizing data from various sources like surveys and interviews. It bridges the gap between organizational goals and training solutions, ensuring that educational interventions are data-driven, targeted, and effective. By automating the structuring of analysis reports and the identification of instructional requirements, it streamlines the foundational phases of instructional design frameworks like ADDIE and Action Mapping.
주요 기능
01Comprehensive learner demographic and characteristic mapping
02Synthesis of qualitative and quantitative stakeholder data
031,203 GitHub stars
04Design of data collection instruments including surveys and interview guides
05Identification and prioritization of performance gaps
06Standardized instructional requirements and success metrics documentation
사용 사례
01Designing a targeted corporate training program based on employee performance data
02Assessing technical skill requirements for a software rollout within an organization
03Evaluating educational gaps in academic curriculum through stakeholder interviews