As the Engineering for Change (E4C) Fellowship has evolved, so too have alumni needs. A fellow in 2016 faced a very different professional landscape and set of opportunities compared to one in 2024. Yet, E4C’s evaluation methods have not fully captured these differences. Past data collection methods were too broad and infrequent, often resulting in declining participation.
The aim of this project was to address an important gap: building a sustainable, alumni-centered impact measurement framework to understand outcomes, track long-term change, and capture alumni needs that E4C could provide support on.
The new approach moves beyond simple, one-off surveys to build a dynamic, longitudinal model that tells the complete story of the Fellowship’s impact on alumni and their journey since completing the program.
Using a dual-survey model (at one, three and five years post-fellowship), it will track both immediate outcomes and long-term career trajectories. This quantitative data is enriched by tailored, in-depth interviews that capture the qualitative success stories and testimonials that bring the data to life. This will provide a holistic view of alumni success by measuring five core dimensions (detailed in the figure below).
This robust, mixed-methods approach will generate powerful, data-driven stories of impact, allowing E4C to clearly articulate the return on investment for its partners and strategically adapt the program to better support its growing network of global changemakers.
Key technology/tools used: Google Suite, Qualitative & Quantitative Research Skills
Process flow for the E4C Alumni IMM project
Attribution: Tanushree Banerjee
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