Evaluation and evidence work for international organisations.
What I do
I work on the measurement side of policy and programme design: establishing whether an intervention worked, for whom, and at what cost.
That covers the identification strategy, whether a randomised trial or a quasi-experimental design where randomisation is not possible; survey instruments and piloting; the cleaning and analysis of field data; and writing results up in a form a programme team or a regulator can act on, with the limitations stated rather than buried. It also covers evidence synthesis: screening and coding existing studies so that what is already known about a question can be found and used.
The assignments below are the record. Each one links to its published output.
Assignments
Save the Children
2025
Part of the evaluation team for the final evaluation of the Resilient Economic Development Gains (RED) Project, a five-year programme funded by Save the Children Italy in Zomba District, Malawi, running from July 2019 to June 2024. The programme set out to raise household income and spending on children, improve diets through more sustainable food systems, and protect both against shocks. It reached 2,596 individuals across 1,000 households in 25 Group Village Head areas, and its effects were measured through a randomised controlled trial with baseline (2020), midline (2022) and endline (2024) rounds. The final evaluation addressed the questions the trial itself could not answer.
International Initiative for Impact Evaluation (3ie)
2023
Part of the team that built 3ie’s Development Evidence Portal and its evidence gap maps. The work involved systematic searching, screening and coding of impact evaluations and systematic reviews, extracting data from more than 40 articles a week, so that studies could be classified by intervention, outcome, country and method and mapped onto a common framework.
Member of the evaluation team for the Uganda Multisectoral Food Security and Nutrition Project, responsible for all technical analysis on the project. This covered the cleaning and analysis of field data from over 9,000 households and the production of the quantitative results underpinning the reported impacts on crop adoption, dietary diversity and childhood stunting.
Evaluated BRAC Uganda’s Ultra Poor Graduation (TUP) programme, run for the first time in Uganda among youth aged 18 to 35 in Luweero and Masindi districts. The graduation model gives ultra-poor households a staggered package of support, consumption smoothing alongside assets and training, so that they can build a livelihood that holds once the support ends. Of the 1,650 participants, 1,216 were tracked over two years in a quasi-experimental study, matched by propensity score against 865 comparison households and analysed using difference-in-differences.
Participating households produced 79 kg more maize than comparison households, were 13 and 10 percentage points more likely to sell maize and beans, and were 38% and 26% more likely to own goats and pigs. Household food security and water and sanitation practices improved alongside.
Lead author of the end-of-course evaluation of the Educate! Experience programme, a skills-based secondary school curriculum in Uganda. Educate! commissioned the study to test whether the results of its earlier trial held once the programme had scaled from around 50 schools in 2012 to nearly 400 in 2016. The design combined propensity score matching with difference-in-differences across 759 participants and 759 matched comparison students, supported by key informant interviews and focus group discussions.
Participants were 11 percentage points more likely to run a business and 8 points more likely to hold a job by the end of the course, with significant gains in public speaking, leadership and the number of job-relevant skills reported. Young women gained more than young men across most outcomes.
I take on evaluation design, data analysis and evidence synthesis assignments. If you have a project in mind, write to me with a short note on the questions you need answered and the data you already hold, and I will tell you plainly whether I am the right person for it.