Genesis Analytics was contracted by the Banking Association South Africa (BASA) to conduct a retrospective evaluation of the StarSaver™ programme that allows volunteers from participating banks and financial institutions to deliver hour-long lessons on savings to learners up to grade seven. 

Genesis was approached by a major alcohol manufacturer and distributor to assess the appropriateness of excise tax as a tool to reduce harmful consumption of alcohol and to raise revenue for the state.

Genesis designed a full social, economic and environmental (SEE) framework for one of the biggest pan-African banking groups to measure the positive and negative SEE impact of the bank on financial returns.

Genesis and The Springfield Centre were contracted by Mercy Corps and the MasterCard Foundation to conduct the mid-term evaluation of AgriFin Accelerate (AFA), a six-year, USD 24.7-million programme in Kenya, Tanzania and Zambia.

Genesis Analytics was contracted by the Rocky Mountain Institute (RMI) to conduct a programme evaluation of the relevance, effectiveness, expected impact and long-term sustainability of the Sustainable Energy for Economic Development (SEED) programme, which is funded by the Rockefeller Foundation and Virgin Unite.

Genesis, in partnership with UK-based IOD PARC, was appointed by the Department of Planning, Monitoring and Evaluation (DPME) in the Office of the Presidency to evaluate South Africa’s National Evaluation System.

Genesis was contracted to evaluate the Department of Home Affairs’ birth registration programme. Despite various interventions, only 694 000 out of approximately 1.1-million births are registered per year in South Africa.

A global mining major asked Genesis to assist with the conceptualisation of a new value proposition for mining communities for the mining industry

Genesis has proposed the development of a digital-credit scoring tool for micro, small and medium enterprise lending in Zimbabwe. The tool will be developed to enable financial service providers to lend to previously excluded entrepreneurs and MSMEs across a number of economic sectors using alternative data and non-traditional sources of data.