Resources
Featured Post
A workflow for collecting and understanding stories at scale, supported by artificial intelligence
Paper in Evaluation journal
AI-assisted causal mapping: a validation study
Forthcoming paper in IJSRM
Pilot Universal Child Benefit Programme in Kenya | UNICEF Kenya
In response to the COVID-19 pandemic, the Government of the Republic of Kenya piloted a Universal Child Benefit (UCB) Programme with support from UNICEF from December 2021 to December 2022, targeting children aged 0–36 months in Kajiado, Embu and Kisumu Counties. The UCB pilot provided KES 800 per month per child, distributed bi-monthly via M-Pesa to female caregivers, and included complementary services to address malnutrition, negative parenting practices and disability exclusion. A qualitative study assessed the pilot’s implementation, accessibility, impact and sustainability, using interviews and focus groups to inform future policy development and scale-up opportunities. The study uses QuIP methodology and Causal Map. Download.
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Create evidence-based theories of change
Consultancy package
Causal Map Subscriptions
Consultancy package
Analyse stakeholders’ narratives
Consultancy package
QualiaInterviews technical brief
A technical brief about Qualia for clients.
Causal Mapping Zotero Library
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Causal Map AI technical brief
A technical brief about our automated Causal Map app for clients.
Book chapter
Comparing an empirical Theory of Change from a causal mapping process with the project's original theory
QualiaInterviews on one page
A quick overview of our AI-driven interview app.
Causal mapping for evaluators
A journal paper written by Steve Powell, Fiona Remnant and James Copestake about the causal mapping methodology for project evaluators.
Causal Map Functions
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