Job Title

Consultant for LEARNING EVALUATION OF THE LANDRISE PROJECT The Rainforest Alliance, with funding from The Coca"‘Cola Foundation, has been implementing the Landscape"‘Driven Resilience and Income Strategies for Community Empowerment (LANDRISE) project since June 2025. The 1"‘year initiative spans across five ecologically significant agricultural landscapes: Mt. Kenya (Kenya), Sui River (Ghana), North Luwu in South Sulawesi (Indonesia), Selva Maya (Mexico), and San"¯Martin (Peru). These regions are biodiversity hotspots and key contributors to global commodity supply chains such as tea, coffee, palm oil, cocoa, and non"‘timber forest products (NTFPs). The communities in these landscapes face economic vulnerability, limited access to finance, and mounting pressures from climate change, land degradation, and volatile markets. LANDRISE was designed to address these structural challenges through a holistic economic empowerment strategy that integrates environmental sustainability, inclusive finance, and green enterprise development. The program focuses on enhancing the resilience of rural communities"”particularly women and youth"”by supporting the establishment of green micro"‘enterprises, revolving fund mechanisms, and innovative climate"‘smart livelihood models. To strengthen adaptive management and deepen understanding of project performance, the Rainforest Alliance is commissioning a learning evaluation at the end of the project. The evaluation will generate critical insights on changes in socio"‘economic conditions, access to finance, livelihood diversification, and participation in the green economy across the target geographies. It will also examine progress against the project's objectives, including improvements in financial inclusion, enterprise growth, and community participation in sustainable land"‘use practices, with a strong focus on identifying what is working, what is not, and why. The consultancy will provide robust, evidence"‘based insights on project processes, performance, and emerging outcomes. The findings will inform real"‘time learning, adaptive management, and strategic decision"‘making for ongoing and future programming. This learning evaluation is essential for fostering continuous improvement, capturing practical lessons, and enhancing the effectiveness and responsiveness of LANDRISE interventions. Consultancy Scope of Work The overall objective of the endline evaluation is to collect both quantitative and qualitative data to assess changes in the project's outcome and impact indicators, as outlined in the project log frame, by comparing endline results with baseline benchmarks and evaluating the overall effectiveness, impact, and sustainability of the project interventions. Main Objectives Promote business development for women and youth to increase income and economic stability. Enhance access to finance through revolving fund mechanisms that support smallholder farmers and green enterprises. Support green enterprises to create environmentally sustainable jobs for youth and women. Advance community"‘led conservation through large"‘scale tree planting and ecosystem restoration. Improve agricultural productivity and market access through training, input supply, and sustainable practices. Purpose and Scope of the Consultancy The Rainforest Alliance seeks the services of a consultant or consulting firm to support data collection and analysis as part of the LANDRISE project's learning evaluation. The purpose of this assignment is to generate accurate, gender"‘sensitive, and landscape"‘relevant data at the household and community levels across the project sites. This consultancy will focus on primary data collection, data entry, and basic data validation and analysis using digital tools provided by the Rainforest Alliance. The consultant will support initial data checks, cleaning, and generation of summary outputs to facilitate real"‘time learning and adaptive management. Activities Inception Meeting and Orientation Participate in an inception session with the Rainforest Alliance to align on scope, methodology, data collection timelines, and roles. Receive training on digital data collection tools, survey instruments, and standard operating procedures. Sampling Design and Validation Propose and finalize a detailed sampling strategy aligned with target groups and indicators. Ensure representation across gender, livelihood type, and geographic coverage. Validate sampling approach with the MEL team before field deployment. Recruitment and Training of Enumerators Recruit qualified enumerators with experience in household or enterprise surveys. Conduct training sessions to familiarize enumerators with tools, digital platforms, ethics, and data quality protocols. Piloting of Data Collection Tools Conduct a pilot of survey tools with a small subset of respondents. Provide feedback on issues and incorporate adjustments before full rollout. Field Data Collection Implement field data collection across selected communities using digital tools. Record audio from qualitative interviews (FGDs and KIIs). Ensure ethical practices, informed consent, and confidentiality. Monitor enumerator performance and data quality in real"‘time. Data Entry, Transcription and Quality Control Oversee real"‘time digital data entry during interviews. Transcribe audios into English and label them appropriately. Conduct internal cleaning and verification to eliminate incomplete or duplicate entries. Deliver a finalized dataset that meets quality standards. Data Analysis and Reporting Conduct comprehensive analysis of quantitative and qualitative data using statistical and thematic techniques. Apply regression analysis to examine relationships between key variables. Generate actionable insights for the learning evaluation. Handover of Materials Submit signed consent forms, field logs, enumerator attendance records, and other documentation. Hand over final clean datasets in prescribed format (e.g., XLSX). Provide draft report, analysis scripts, and final report for validation. Deliverables & Timeline Finalize fieldwork plan, sampling methodology, schedule, and enumerator list for approval by Day"¯10 from contract signing. Complete data collection across target locations, submitting signed consent forms and related documentation by Day"¯13 from contract signing. Submit cleaned and validated dataset with metadata and field notes by Day"¯14 from contract signing. Share analysis plan for review by Day"¯20 from contract signing. Provide Draft"¯0 of the report for review by Day"¯25 from contract signing. Deliver finalized report with input from the Rainforest Alliance by Day"¯30 from contract signing. Complete handover of final report, field methodology annex, and supporting documentation by Day"¯31 from contract signing. Qualifications Academic Qualifications - Advanced university degree (Master's or higher) in Monitoring & Evaluation, Development Studies, Agricultural Economics, Environmental Science, Natural Resource Management, Social Sciences, or related discipline. Technical Expertise and Experience - Demonstrated experience evaluating programs related to climate-smart agriculture, sustainable land use, livelihoods, financial inclusion, and green enterprise development; experience conducting gender-responsive and inclusive evaluations. Data Collection - Proven ability to manage large-scale field data collection using digital tools (e.g., KoboToolbox, ODK, SurveyCTO). Strong analytical skills, proficiency in statistical software such as SPSS, STATA, R, or similar. Team Composition (for Firms) - Availability of qualified field enumerators and supervisors with local language proficiency. Ethical Standards and Compliance - Demonstrated commitment to ethical research practices, informed consent, confidentiality, and data protection. Equal Opportunity Employer. This employer is required to notify all applicants of their rights pursuant to federal employment laws. 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