Co-Evaluating Growth
Empowering stakeholders at all levels with the data and insights they need to make informed decisions, drive continuous improvement, and ultimately enhance educational outcomes for all children.
The maximum load of implementation falls on the Government Officers in the middle management rung of the Public Education System.
We partner with Officers and Institutions to bridge the knowledge and skill gaps and enable effective implementation of policies and programs.
We believe in the power of collaboration to drive systemic change.
By co-implementing programs with government partners, we ensure that our initiatives are contextually relevant, sustainable, and scalable.
This approach allows us to effectively address the unique challenges faced by the public education system at various levels.
We believe that robust M&E practices are essential for building a future-ready education system.
We co-evaluate growth because we understand that data is not just about numbers; it's about stories, progress, and the potential for transformative change.
By co-evaluating growth, we foster a culture of learning and accountability, where successes are celebrated, challenges are addressed, and every decision is backed by evidence. This approach ensures that our efforts are not only effective but also sustainable in the long run.
What support do we provide?
Our support includes a three-pronged approach of people, process, and technology. This ensures that partners have the necessary resources, guidance, and tools to effectively monitor and evaluate their educational initiatives.
Dedicated and Certified M&E Team
Relevant Program Indicators
Technology-Enabled Data Management
The Capability and Impact of Co-Evaluating Growth
Our M&E vertical has a proven track record of driving positive change in the education sector.
20+ Indicators
at the Input & Output Level to determine efficacy of our program delivery
12+ Indicators
at the Outcome Level to determine short term effect on program stakeholders
200K+
Monthly Individual Datasets can be analysed at a small and large-scale across programs