Our Approach

Addressing complex challenges requires embedded and self-correcting processes that produce and integrate evidence as part of the product implementation process.

Our Methodology


The first step is to identify the problem we want to solve. While this may occur in many ways, a successful model is when the involved stakeholders come together with researchers to combine information on priorities and opportunities with economic insights in order to identify a question that can be feasibly approached.


We work closely with partners, again using insights from economic theory and empirical evidence, to diagnose the market or system failures that underlie the identified problem. Descriptive data and existing research can often help distinguish between potential explanations and screen for underlying causal factors. When needed, we find the data!


We apply our collective expertise to design innovations that are financially, administratively, and politically feasible in addition to being justified by economic principles and well-supported by evidence. Monitoring and feedback mechanisms are built into every design, often including new tech-based platforms for collecting and learning from implementation data.


This is the point when the solution is delivered to target beneficiaries via partners. Sometimes potential designs are implemented in an initial pilot to iron out the kinks or determine feasibility before delivering them at scale. Smart data systems capture key indicators of implementation progress to enable continuous problem-solving and learning.


Our approach emphasizes rigorous testing at relevant scale, with scientific methods of evaluation used to measure impact – often comparing several designs via large-scale field studies that draw on tools such as randomized controlled trials. Testing the outcomes of the highest potential solution(s) provides key information on how best to improve and refine.


Our method is an iterative approach, where the lessons learned at each stage are used to refine existing designs and identify the next set of objectives and challenges. At the refine stage, we may decide that it would be most advantageous to return to a previous point in the process to solve problems or integrate new knowledge. The aim is to use evidence to generate a cycle of continuous policy improvement.

We Think Differently

FinMango was founded on the understanding that money is a complex subject and that approaching it differently can play a critical role in supporting international organizations, companies, and government agencies confront history, shape new narratives, and collectively heal and build new possibilities for the future.

We are a collective of engineers, designers, lawyers, artists, researchers, and professionals representing all corners across the globe. We believe in a world where there is financial equity for all young adults.

We disrupt systems that endanger the financial health of young adults

As an organization, our work aligns with this “complex,” or systems, context. This means that our approach is all about probing, sensing, and then responding with an understanding that we cannot predict what will happen and that the system is dynamic. Solutions can’t be imposed; rather, they emerge from the circumstances and are often put into action through influence. As a focus, our work relates to the complex context of young adults around the world and their financial health. More specifically, we focus on the stability of young adults during times of life transitions and financial shock.