This study supports an impact evaluation assessing the effectiveness of providing TVET students with access to a job-matching platform, structured job search support, and CV-building assistance. The study combines large-scale baseline data collection with implementation support to generate evidence on labour market outcomes, women’s economic empowerment, and household well-being among TVET students in Bangladesh.
Researchers: Kate Vyborny; Hasibul Hasan; James Ward Khakshi; Farah Muneer; Saadman Faisal; Noriya Mahin Chowdhury
Partner: World Bank
Timeline: 2026
Status: Ongoing
Contact: James Ward Khakshi; james.wk@bracu.ac.bd
Context
Despite growing enrolment in technical and vocational education, many TVET students in Bangladesh face challenges transitioning into employment due to weak job search skills, limited access to labour market information, and poor linkage with employers. Digital job platforms offer potential to bridge this gap, but their effectiveness depends on students’ ability to access, navigate, and use these tools. To address this, the World Bank in collaboration with BIGD is piloting an intervention that combines access to a job platform with CV-making support and job search training. This study contributes to a broader impact evaluation by generating baseline evidence and supporting implementation to assess how such interventions influence employment outcomes, particularly for women. BIGD is supporting World Bank in implementing the baseline and pilot phases of the evaluation, working closely with TVET institutes to ensure high-quality data, effective training delivery, and strong coordination across institutions. Contextual learning for deciding the design and research protocol is an important contribution of BIGD.
Objectives
The study aims to support the impact evaluation by:
- generating baseline evidence on labour market outcomes, job readiness, and household well-being among TVET students;
- supporting the delivery of CV writing workshops and job search training linked to a digital job platform;
- ensuring high-quality data collection and adherence to evaluation protocols; and
- strengthening coordination with TVET institutions to enable smooth implementation of the pilot.
Methodology
The study adopts a mixed-methods, implementation-support approach, combining large-scale baseline surveys with coordinated training delivery and rigorous quality control. A structured baseline survey is administered to 6,600 TVET students across institutes in Dhaka Division using SurveyCTO, following extensive instrument testing and piloting. Data collection is embedded within CV writing and onboarding sessions to ensure high participation and operational efficiency.
Beyond data collection, BIGD provides implementation support across four integrated workstreams:
- coordination with TVET institutes and institutional profiling;
- delivery of CV writing workshops and job search training through trained facilitators;
- survey programming, piloting, and baseline administration; and
- monitoring, quality control, and reporting, including supervisor back-checks, independent verification, and delivery of a clean, analysis-ready dataset.
This integrated approach ensures that the evaluation is supported by reliable monitoring data, well-executed training, and strong institutional engagement.
Findings and Recommendations
Forthcoming.
