Consultant (Impact Evaluation of GIZ-GREAT programme in Tajikistan) (INT2703)

OxfamGB, Dushanbe, Tajikistan

Skill Required:, Media and CommunicationResearch and Analysis
Closing Date for Applications: 
19th August, 2016

Job Description

The Role

The main purpose of the assignment is to conduct impact evaluation of Oxfam implemented and GIZ-DFID supported Growth in the Rural Economy and Agriculture: Tajikistan” (GREAT) programme. The programme’s general objective is to contribute to economic growth in rural areas, with an expected impact on poverty alleviation. The GREAT project was implemented in 3 phases, of 1 year each starting in the 2013. The third phase of the project will be completed by September 2016.

The objective of the assignment would be as follows:

Based on stakeholder consultation and field assessments; evaluate the relevance, efficacy, efficiency and effectiveness of the programme
Employing methods like Theory of Change, examine the appropriateness of interventions carried out
Evaluate the achievement of programme against the set objectives at the level of project participants, villages, Sub-district (Jamoat), District (Hukumat) and region level and on local authorities, market systems and development partners
Using suitable outcome harvesting techniques and based on appropriate counterfactuals, map out key intended and unintended outcomes of the project
Analyze the result of evaluation to delineate key lessons learnt from the project that can feed in the upcoming programme and institutional lessons for the Oxfam in general
Based on the findings, make recommendations on future approach and strategy for- a) scaling-up interventions and b) advocacy and influencing in EJ programme
Develop short cases on the findings, lessons and recommendations on key strategic sectors for purpose of advocacy and national level influencing

The evaluation should be based on mixed method including literature review, field assessments and stakeholder consultations with emphasis on generating rigorous evidence on impact embedded within appropriate attribution analysis.

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