Mid Term Evaluation for Integrated & Climate Smart Innovations for Agro-Pastoralist Economies and Landscapes at SNV Netherlands Development Organisation

Conclusions, recommendation, and lessons learnt

The evaluation report must include a chapter with set of conclusions, recommendations, and lessons. The consultant will draw detailed conclusions in alignment to DCED evaluation criteria and further identify lessons learnt and make recommendations to the project team with succinct suggestions for critical interventions that are specific, measurable, achievable, and relevant within the context of project locations.

10. Implementation arrangements

The main responsibility for managing this evaluation lies with SNV Kenya. SNV will contract the evaluator and provide relevant documents. The project team will be responsible for liaising with the evaluator to set up stakeholder interviews, arrange field visits, coordinate with the Government. The evaluator is expected to make own logistical arrangements for all field travels, etc. The responsibility for coordination of the evaluation resides with the project Monitoring, Evaluation, and Learning Advisor with supervision from Project Manager.

Time Frame

The evaluation will be carried out between Mid-June 2022 to mid of August 2022, with a final report expected by end of August 2022. The evaluator is expected to develop a reasonable work plan of the planned activities; including proposed number of days aligned to the budget.

Deliverables

The following are the key outputs for this assignment:

• Inception report: should be a maximum of 10 pages, detailing the methodology/approach to be used; checklist for document reviews, the schedule of activities; the tools for data collection and workplan.
• Draft midterm report: should be logically structured, contains evidence-based findings, lessons, conclusions and recommendations devoid of irrelevant information to the overall evaluation. The report should respond in detail to the specific evaluation questions described and should be maximum of 20 pages exclusive of annexes.
• Validation: Powerpoint presentation highlighting key findings for review and validation by the project teams/stakeholders in a workshop.
• Final report, including summarized findings with key recommendations presented in pdf and word soft copies and 4 printed and well bound copies.

Ethical considerations

The evaluation team will safeguard the rights and confidentiality of information providers, interviewees, and stakeholders by ensuring compliance with legal provisions and codes governing collection and reporting of data. The evaluator and team will agree to sign data processing agreement which shall be provided by SNV.

Evaluation team will ensure security of information of this assignment in accordance with GDPR compliance. The information, knowledge and data gathered in this process must also be solely used for the evaluation and not for other uses. Where video coverage and photo shooting are involved, informed consent must be signed.

Qualifications 

• A Master’s degree in field of economics, livestock production, NRM/range management, or other closely related fields.
• Over 10 years of experience in quantitative and qualitative data collection and analysis in areas of value chain analysis, result-based management evaluation methodologies.
• Knowledge of climate smart and or resilience building programs with measurement of resilience sensitive indicators.
• Experience applying SMART indicators and reconstructing or validating baseline scenarios; competence in adaptive management as applied to fodder, beef and dairy value chain development with market systems
• Experience in conducting EU, DGIS funded project surveys including household studies, agricultural value chain analyses, Mid Term, and end term evaluations especially in ASALs
• Experience in implementing evaluations remotely with field logistics and guiding enumerators to assure high quality data as an asset.
• Previous experience with Akvo Flow, Log Alto, ODK, Survey CTO platforms for online and off-line data management would be considered a plus.