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Baseline and endline studies are critical for understanding the “before and after” of any intervention. They form the foundation for measuring progress, evaluating impact, and informing future program design. Our team conducts these studies to generate credible evidence of what has changed, how much has changed, and why.

We begin with a participatory design process, aligning indicators with the project’s Theory of Change or Logical Framework.

This ensures that data collected at both points is directly tied to the intended outcomes. We use a mix of household surveys, facility assessments, key informant interviews, and focus group discussions to capture a full picture.

At Research360 Africa, our beneficiary studies place the voices, experiences, and realities of program participants at the center of evidence generation.

These studies are designed to evaluate how interventions are perceived, experienced, and valued by those they aim to serve.

They help our clients assess relevance, responsiveness, satisfaction, and perceived impact ensuring that programs are not just effective on paper, but meaningful in the lives

We apply a human-centered, participatory methodology that combines structured surveys with rich qualitative techniques such as in-depth interviews, life history narratives, community scorecards, and participatory rural appraisal (PRA) tools.

Impact assessments aim to determine the actual effects of an intervention, distinguishing between correlation and causation.

At Research360, we specialize in uncovering whether and how change occurred, and to what extent it can be attributed to the program in question.

We begin by clearly defining the counterfactual: what would have happened in the absence of the intervention. Depending on context, we employ experimental designs (like randomized controlled trials) or quasi-experimental designs (like difference-in-differences, propensity score matching, or regression discontinuity). These approaches allow us to isolate program impact from external influences.

Monitoring and Evaluation (M&E) is essential for tracking program implementation, measuring progress, and fostering accountability. At Research360, we embed M&E systems that not only collect data but also support continuous learning and decision-making throughout the program lifecycle.

We co-develop Theory of Change models and logical frameworks in collaboration with implementing partners to ensure alignment with program goals.

Our monitoring systems are adaptive and tailored whether paper-based for low-tech contexts or digital dashboards using ODK, KoboToolbox, or SurveyCTO for real-time tracking. Indicators are selected to capture reach, efficiency, effectiveness, and equity.

At Research360 Africa, our needs assessments form the foundation for effective program design and policy development. These studies are conducted to identify gaps between current conditions and desired outcomes across sectors such as education, health, livelihoods, governance, and protection.

We work closely with clients to ensure that interventions are grounded in actual community priorities and evidence-based demands.

We employ a participatory and inclusive methodology that combines quantitative household surveys with qualitative methods like focus group discussions, key informant interviews, and community mapping exercises. This ensures that voices from different segments – women, youth, elderly, and marginalized groups are represented. Where appropriate, we also conduct institutional capacity assessments and service delivery audits.

Our socio-economic studies explore the intersections of income, livelihoods, consumption, inequality, and social mobility.

We produce context-rich insights to inform policy, social investment, and inclusive economic development across diverse African settings.

We design multi-level studies that capture household dynamics, informal sector contributions, market constraints, and systemic vulnerabilities. Using structured household surveys, enterprise assessments, and life history interviews, we build a layered understanding of both economic activities and social realities.

This subcategory looks at how households and individuals access and consume goods and services. We explore spending habits, financial behavior, access to credit or savings, and exposure to market systems. In rural or underserved areas, we also assess access to infrastructure, transport, and retail networks.

Our methodology often includes expenditure diaries, market mapping, and price tracking.

These studies inform inclusive market development, small business promotion, and consumer protection strategies. They are especially useful in designing last-mile delivery models and supporting social enterprises targeting low-income consumers.

We explore employment patterns, job quality, and labor force participation across formal and informal sectors.

These studies often investigate unemployment, underemployment, wage disparities, and sectoral skills gaps.

Our tools capture not just labor status but also job satisfaction, working conditions, and aspirations. In fragile economies, we assess how factors like gender, education, and mobility influence access to work. We also design tracer studies that follow vocational training graduates to assess their market integration. These insights inform youth employment programs, workforce development strategies, and national employment policy reforms.

This subcategory explores the financial and survival strategies of individuals and households. We analyze income sources, asset ownership, expenditure patterns, and coping mechanisms used during economic shocks.

Our approach includes both quantitative tools (household income surveys, asset indices) and qualitative methods (life histories, participatory wealth ranking).

These studies offer nuanced classifications, from ultra-poor to economically secure, enabling targeted interventions. For example, profiling can help determine who qualifies for cash transfers or livelihood support in social protection programs. We also assess informal economies and unpaid labor, especially among women and youth.

Before rolling out services or products, understanding demand is crucial. Our Demand Estimation Studies help partners answer the question: Will people use what we provide and how much of it?

We use household surveys, focus groups, and behavioral modeling to measure interest, ability to pay, and likelihood of adoption. For health, we explore demand for insurance, screening, or new treatments. For education, we measure willingness to enroll or switch systems. For sanitation or energy, we test uptake under different pricing or distribution models.

We often apply choice experiments, price elasticity tests, or social marketing A/B testing to simulate real-world scenarios

Findings are segmented by gender, age, income, and geography to identify high-potential user groups and early adopters.

This data helps partners tailor service delivery models, product design, pricing, and outreach strategies. It also prevents wasted investment in interventions that won’t gain traction.

Demand Estimation is not about assumptions, it’s about testing hypotheses before scale. We help clients enter markets or communities with clearer expectations, better targeting, and increased odds of success.

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