SIH26135

Difficulties in tracking employment outcomes,skill gaps, and the impact of skilling initiatives

Metadata & Specs

Organization

Department

Maharashtra State Innovation Society, Department of Skills, Employment, Entrepreneurship and Innovation

Problem Description Training systems frequently capture enrolment, attendance, assessment and certification, but reliable information on employment, self-employment, job retention, wage progression, relevance of training and longer-term livelihood outcomes may remain incomplete.Trainees may change phone numbers or locations, employers may not report consistently, and multiple programmes may use different identifiers and definitions. Without longitudinal outcomes, it is difficult to compare providers, improve courses, target future investments or demonstrate public value. The challenge is to establish credible, low-burden and privacy conscious outcome tracking.
Expected Solution / Outcome A longitudinal skilling-outcomes and impact-measurement system that creates consent-based trainee records,links training with placement and employment signals, conducts automated and assisted follow-ups,captures self-employment and apprenticeship outcomes, validates employer information, measures wage and retention progression, and provides cohort, course, provider, district and demographic analytics. It should identify skill gaps and reasons for non-placement or attrition. Expected outcomes include higher-quality outcome data, better programme and provider accountability,targeted remedial actions, improved resource allocation and evidence-based policy design.