Leveraging design, data, and innovation to further equitable social and economic development
Nivaroh is conceived with the intention of solving for problems affecting the marginalized & vulnerable - through the lens of policy and decision making.
​We design, evaluate, and scale programs to improve lives. In this endeavor, we are guided by human-centered thinking, data, and economic insight.
services
Our expertise pans across sectors, namely, public health, international trade and development, agriculture, digital security, and urban city planning. ​Nivaroh is envisioned to be more than a sum of its parts, do not hesitate to reach out for specific requests
Research
Program Design
Scientific Writing
Capacity Development
Monitoring & Evaluation
Quality of Care
Data Analytics
Survey Design
methods
We use a fluid methodological concept - wherein depending on the problem statement, one or all of the three below methods are utilized
Qualitative
to provide context and uncover depth
Quantitative
to arrive at evidence which is scalable, verifiable, and unbiased
Design
to allow understanding from a human experience point of view
workflow
Discuss
Design & Plan
Disintegrate
Synthesize
Deliver
Our workflow allows for a fusion of methodologies, by allowing for a disruptive approach in understanding the challenges at hand.
The framework allows us to recommend, for the most part, solutions which are longer term, scalable, and efficient.
Hello, and thanks for visiting our website.
After more than a decade of working across public health and social protection, I founded Nivaroh to design solutions and recommendations built around people - rather than around tools. In my experience, we are generating a lot of evidence today - which is a) not synthesized enough, and b) not applied for actual improvement. In sum, insights collected are disparate, and even if synthesized - much less often connected to action.
At Nivaroh, we believe learning must translate into solutions optimized for implementation. A graph without a story is like a map without a scale: it may inform, but it can just as easily mislead.
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The learning -> our solutions need to be optimized for implementation.
And so, Nivaroh was born. We are new, and small - ​​​but building carefully. What we lack in scale, we make up for in intention.
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Warmly,
Ridhima