GV4G MEL Market Intelligence Consultant

TechnoServe Public Solicitation: GV4G MEL Market Intelligence Consultant Reference Number: RQ11195 Region: USA & Global | Performance Location: USA & Global Published Date: Nov 12, 2026 | Due Date: Jan 12, 2027 Notice Type: Request for Proposals Selection Criteria: - Financial Offer (MSA Daily Rate Card) - Competitiveness of Daily Rates by Role, Rate Structure, Transparency & Value for Money. (30 pts) - Technical Approach & Analytical Methodology (Understanding of the required activities and proposed methodology, delivery model, quality assurance, continuity and knowledge transfer, advanced analytics, modelling, and data-integration capability) (30 pts) - Key Personnel & Multidisciplinary Team (Principal Technical Expert/Team Lead and key personnel) (20 pts) - Organizational Capacity & Relevant Experience (Mozambique experience and demonstrated/proven results, commercial MEL, market intelligence, and market-system approach) (20 pts) Project Background: TechnoServe seeks a specialist contractor to deliver advanced analytical, monitoring, evaluation and learning (MEL), market-intelligence and decision-support services across two major programmes in Mozambique: Mangwana and Green Value for Growth (GV4G). Mangwana is a multi-stakeholder programme focused on systemic and inclusive change, including food security and nutrition, entrepreneurship and policy.

The programme generates substantial MEL data and requires advanced analytical support to interpret results, integrate multiple datasets, strengthen measurement approaches and translate evidence into programme learning and adaptive management. GV4G is a five-year programme supporting greener, more competitive and climate-resilient agricultural value chains in Mozambique, with a focus on soy, cashew and coffee. The programme requires advanced analysis of programme, farmer, enterprise, market and external data to understand performance, market dynamics, commercial opportunities, risks and the sustainability of programme-supported business models.

The contract is intended to procure institutional capability rather than an individual consultancy. The Contractor will retain contractual responsibility for quality, continuity, staffing, data protection, quality assurance and timely delivery and may deploy a multidisciplinary team under the leadership of a designated Principal Technical Expert / Team Lead. Objective of the Contract The objective of the contract is to strengthen Mangwana and GV4G's ability to use programme and external evidence to understand development performance, commercial performance, market and systems dynamics, emerging opportunities and risks, and the implications of these findings for programme strategy, implementation and sustainability.

A central feature is the application of commercial MEL approaches linking programme outcomes with enterprise, farmer, market and value-chain performance so that TechnoServe can assess commercial viability, scalability, resilience and sustainability beyond programme support. Scope of Work: The Contractor will deliver the following services through individual Task Orders issued under the MSA. A.

Advanced Data Analysis and Integration Integrate and analyse programme, survey, enterprise, farmer and external datasets. Develop reproducible approaches for data cleaning, transformation, linkage and analysis. Integrate programme data with market, economic, climate, geographic, trade and other external datasets.

Identify patterns, relationships, anomalies, information gaps and opportunities for deeper analysis. Apply appropriate statistical, computational and AI-enabled analytical methods where justified. Document data sources, methodologies, assumptions, code, limitations and interpretation.

B. Commercial MEL and Enterprise Performance Analytics Develop indicators and analytical frameworks linking development outcomes to revenue, profitability, productivity, market access, investment, resilience, competitiveness and other relevant commercial measures. Analyse enterprise, farmer, aggregator, processor, buyer and other market-actor performance.

Assess business-model viability, unit economics, return on investment, value creation and pathways to commercial sustainability. Examine whether programme-supported practices, services or business models continue or scale without programme subsidy. Integrate customer/user behaviour, transaction, market-price, trade, production and programme data where available.

Develop commercial performance dashboards, scorecards and decision-support tools. Identify commercially sustainable opportunities for adaptation, scaling, replication or exit. Develop MEL approaches and data products that can be reused across programmes, value chains or markets.

C. Market, Value Chain and External Data Analysis Analyse production, price, trade, enterprise, buyer, processor and value-chain data. Examine market trends, commercial opportunities, constraints and risks.

Analyse relationships among producers, enterprises, processors, buyers and other market actors. Assess value addition, market access, investment, competitiveness and market-system incentives. Integrate climate, economic, geographic, policy and other contextual information.

Translate findings into evidence relevant to programme strategy, intervention design and private-sector engagement. D. Modelling and Scenario Analysis Undertake economic and financial modelling.

Undertake statistical and econometric modelling. Conduct scenario, sensitivity and stress testing. Undertake forecasting and predictive analysis.

Conduct cost-benefit and cost-effectiveness analysis. Conduct climate-risk and resilience analysis. Undertake spatial and geographic analysis.

Undertake market and price modelling. Conduct investment, unit-economics and value-creation analysis. Apply other quantitative methods appropriate to agreed programme questions.

E. MEL, Impact and Systems-Change Analytics Analyse programme monitoring, results and evaluation data. Identify patterns and differences across interventions, geographies, value chains and participant groups.

Support advanced approaches for estimating programme reach, outcomes, contribution and impact. Test programme assumptions, hypotheses and theories of change. Strengthen interpretation of quantitative and qualitative evidence.

Support measurement of market-systems and systems change. Develop specialized methodologies for reach, outcome and impact measurement. Identify areas requiring deeper investigation and generate evidence for learning and decision-making.

F. Adaptive Management and Strategic Learning Synthesize programme, commercial and external evidence around agreed strategic questions. Identify emerging trends, risks, opportunities and unintended results.

Assess whether programme and commercial assumptions remain supported by evidence. Compare performance across interventions, approaches, geographies or participant groups. Undertake targeted analysis to inform potential programme adaptations.

Support structured reflection on analytical findings. Present alternative scenarios, trade-offs and options. Translate complex findings into practical implications for programme leadership and technical teams.

G. Digital, Visualization and Decision-Support Products Develop dashboards and interactive analytical products. Develop data visualizations and maps.

Develop market-intelligence and analytical tools. Develop scenario and forecasting tools. Develop automated or reproducible analytical workflows.

Prepare technical briefs and evidence summaries. Prepare presentations and decision notes. Develop other digital/data products agreed under individual assignments.

H. Strategic Facilitation, Communication, and Stakeholder Engagement Act as a key liaison bridging the gap between the MEL unit, technical teams, programme leadership, and external stakeholders, ensuring that analytical products address strategic needs without replacing the central project management structure. Design, organize, and moderate structured reflection sessions, workshops, and learning events with diverse internal teams to explore analytical results, debate implications, and drive evidence-based adaptive management.

Communicate programme performance, commercial viability, and systems-level impact to external stakeholders, including donors and partners, translating highly technical data and complex findings into accessible, compelling narratives. Surface critical learnings and prompt strategic decision-making by facilitating discussions that guide project leadership through alternative scenarios, trade-offs, and data-driven options for intervention scaling or adaptation. Delivery Model and Contractor Responsibilities Operate under a five-year MSA through individual Task Orders, with an indicative analytical workplan agreed at the start and updated as priorities and data needs evolve.

Retain contractual responsibility for quality, continuity, staffing, data protection, quality assurance and timely delivery. Nominate a Principal Technical Expert / Team Lead with overall technical responsibility and continuity across the contract, and deploy supporting specialists as required. Integrate as an embedded member of the broader MEL unit, maintaining close, routine coordination and alignment of priorities with project stakeholders to ensure the overall success of highly codependent analytical work.

Maintain clear roles, availability and lines of accountability for all employees, directors, associates and contracted or associated specialists engaged in delivering the contract.Prioritize analytical clarity, usability, maintainability, reproducibility, documentation and knowledge transfer, and strengthen institutional capability where appropriate. Routine MEL administration or day-to-day supervision of TechnoServe MEL staff is outside scope unless separately agreed under a specific assignment. Travel to Mozambique will occur only where required for a specific agreed assignment and subject to prior written agreement, applicable security requirements and approved travel budgets.

Required Deliverables: Mobilization / Initial Workplan At the start of the engagement, TechnoServe and the Contractor will agree an indicative analytical workplan identifying priority questions and expected products. The workplan may be updated as programme priorities, data availability and analytical needs evolve. Task Order-Level Milestones Before each individual Task Order begins, TechnoServe and the Contractor will agree the analytical question, scope, expected outputs, proposed personnel, timeline, acceptance criteria and budget.

Each Task Order will specify the agreed scope, deliverables, personnel, timeline, fixed price and payment schedule. Payments will be linked to the completion and acceptance of agreed deliverables or milestones. Indicative Deliverables Advanced analytical reports and technical briefs.

Integrated and documented analytical datasets. Commercial MEL frameworks and enterprise-performance scorecards. Statistical, economic and financial models.

Market, value-chain and market-intelligence analyses. Programme performance, reach, impact and contribution analyses. Systems-change analyses.

Business-model viability, unit-economics and investment analyses. Adaptive-management and strategic-learning products. Scenario, forecasting and predictive tools.

Dashboards, maps, data visualizations and interactive products. Methodological notes, analytical documentation, code and reproducible workflows. Presentations of findings, implications and options.

Final Deliverable A final package of completed products, documentation, models and code developed under the contract, including materials required for handover, continuity and future use by TechnoServe. Acceptance Criteria Deliverables will be reviewed against the requirements agreed for each substantive assignment or Task Order. Each Task Order will define its specific scope, expected outputs, timeline and acceptance criteria before work begins.

TechnoServe will review deliverables for completeness, technical quality, accuracy, relevance and usefulness to the agreed analytical question or programme need. Where applicable, data sources, methodologies, assumptions, analytical approaches, code and limitations should be sufficiently documented to support transparency, reproducibility and future use. Digital and analytical products should be practical, usable and maintainable by TechnoServe.

The Contractor will address reasonable revisions required to meet the agreed assignment requirements. Deliverables will be reviewed and accepted by the designated TechnoServe programme representative(s) for the relevant assignment.