Why Impact Evaluation ?

Development stakeholders — governments, funders, and implementing organisations — routinely face a fundamental question: did this successfully do what it set out to accomplish, and how well did it do that?

This is a radically different proposition from whether work took place – it asks whether the policy, programme, or innovation actually change outcomes for the people it was meant to reach. Answering that question well is the difference between funding good intentions, and funding successful outcomes.

We design and deliver impact evaluations built on the strongest available methods for causal inference. This includes randomized controlled trials (RCTs), where feasible and ethical, as well as quasi-experimental designs — difference-in-differences, regression discontinuity, propensity score matching, instrumental variables, and synthetic control methods — for contexts where randomisation isn’t possible.

The method is chosen to fit the intervention, the operational realities of the partner, and the policy choices that the evidence will go on to inform.

We work with partners to clarify the theory of change underlying an intervention, identify the outcomes that matter most, and design an evaluation that is powered to detect meaningful effects. We pay close attention to ethical considerations, particularly in RCTs involving vulnerable populations, and to the practical constraints of implementing rigorous designs in real-world, often resource-constrained settings.

Throughout an evaluation, we combine technical rigour with attentiveness to how findings will actually be used. An evaluation that produces a statistically sound but practically irrelevant answer has limited value. We work closely with commissioning organisations to ensure research questions are policy-relevant from the outset, and we invest in communicating findings — through briefs, workshops, and technical reports — in ways that speak directly to the investment, scale-up, or design decisions partners are facing.

Our impact evaluation work spans sectors including Health & Nutrition, Education & Skills,  Finance, Financial Inclusion, Gender, Equity & Social Inclusion (GESI), Climate Change & Environmental Sustainability and geographies across the Indian Subcontinent.

We have partnered with a range of clients including the World Bank, Harvard University, and various state governments in India to evaluate interventions ranging from debiasing law enforcement to produce positive outcomes to address gender based violence, to seeing how educational interventions have long-term outcomes on how children develop skills in innovation, socio-emotional development, and finances.

Credible evidence on “what works” is a public good that extends beyond any single programme. Where possible, we design evaluations that contribute not only to a specific partner’s decision-making but to the broader evidence base that shapes development policy and practice.

Projects Featuring Impact Evaluation

Financial Life Skills Education Impact on Children

Evaluating the impact of providing children with formalised education in financial and life skills.

Evaluating the Impact of an All-Women’s STEM Program (Women Engineers Program)

A randomized evaluation of a fully-funded STEM career readiness program for first-generation women engineering students in India.

Parental Practices and Child Outcomes: Theory and Evidence from Delhi

Can access to educational material on parenting practice improve child outcomes?

Theatre-Based Learning Impacts on Socio-Emotional Development

Measuring the impact of theatre-based learning on student attitudes, aspirations, emotional well-being, peer relationships, and critical thinking.

Partners

Can Innovation Be Taught in Schools?

Exploring whether innovation-related critical thinking can be fostered in schools through structured curricula.

The WHO Self-Help Plus (SH+) Group Counselling for Indian Women in Poverty

A pilot evaluation of the Self-Help Plus intervention to provide scalable, group-based counselling to poor women in India.

Community-Managed Natural Farming Programme in Andhra Pradesh (APCNF)

Assessing, through a longitudinal study, the impact of natural farming on the quantity, quality, and market value of organic produce in Andhra Pradesh.

What we do

We partner with governments, development agencies, foundations, and private organizations to generate high-quality evidence, strengthen programmes, and translate research into meaningful policy and social impact.

  • Data Analytics & Policy Research

    We transform complex data into actionable insights using advanced statistical analysis, econometric modelling, predictive analytics, and mixed-methods approaches. Our policy research supports governments and development partners in designing, refining, and scaling evidence-informed programmes.

  • Impact Evaluation

    We design and deliver rigorous impact evaluations using randomized controlled trials (RCTs), quasi-experimental designs, and other robust causal inference methods to assess whether policies, programmes, and innovations achieve their intended outcomes. Our evaluations generate credible evidence that informs investment, policy, and scale-up decisions.

  • Monitoring, Evaluation & Learning (MEL)

    We design comprehensive MEL systems that enable organizations to monitor performance, evaluate implementation, and foster continuous learning. Our expertise includes Theory of Change development, logical frameworks, process evaluations, implementation research, learning agendas, and adaptive management.

  • Programme Design & Strategy

    We help organizations design evidence-informed programmes that are practical, scalable, and results-oriented. Our services include needs assessments, programme design, Theory of Change development, results frameworks, implementation strategies, technical advisory, institutional strengthening, and evidence translation to improve programme effectiveness and long-term impact.

  • Qualitative Research & Behavioural Insights

    We integrate qualitative inquiry with behavioural science and mixed-methods research to understand how people make decisions, experience public services, and respond to interventions. Through interviews, focus groups, ethnography, case studies, and participatory approaches, we generate rich contextual insights that complement quantitative evidence.