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Operations Research Design Adviser will provide expert advice in establishing an M&E framework for the project, building on a clear and sound theory of change, and identifying performance and results indicators to measure programme effectiveness and efficiency; and designing an operations research/impact evaluation parallel to the project implementation, including the tools, instruments and protocols necessary to operationalize the research/evaluation.

  • Provide expert guidance to further clarify the Project’s Theory of Change (TOC) and, in the process, examine how the different project components and interventions function by themselves and in relation to each other;
  • Lead the design of a research framework that would validate the TOC and answer questions around the relevance, effectiveness, efficiency, and sustainability of the project components and results - individually and synergistically;
  • in-depth analysis of factors affecting the scope, depth and quality of services delivered and whether they are contributing to the intended project outcome - e.g. increased utilization of SRH and GBV services in a humanitarian setting;
  • unintended consequences/effects of the project;
  • documenting the variety of implementation models/solutions adopted, their differentiated results, the factors that either facilitated or hindered their applicability in particular settings; and
  • evidence-based recommendations on the potential for enhancement, replication and/or scale-up of project approaches/components in future humanitarian and development programming, including the assumptions and risks that need to be considered from the onset;
  • Design the protocols and instruments necessary to operationalize the research, to include:
  • appropriate sampling and targeting of areas and individuals who will be exposed to the project interventions and, if called for by the research design, the selection of areas and individuals who will form part of the “control” or “non-intervention” group to allow for a reasonable analysis and conclusion of causality between project interventions and the health outcomes they are supposed to affect; and
  • efficient collection of the data necessary for the research, consolidation and analysis of the data, validation/triangulation of findings, and effective dissemination of the research results.