Knowledge Management and Learning

Using quantitative and qualitative data for strategic assessment and planning of programmes

CARE India, with its Knowledge Management and Learning (KML) unit, works to generate accountable data for the sustainable and scalable functioning of its various initiatives across India. Through an evidence-based programme management, we are able to provide accountable data and pace of direction to the different programmes being run in the areas of agriculture, financial inclusion, education and health in addition to incidental projects on WASH, gender, value chain interventions and more.

Our objective is to make the system more data-hungry and efficient. This helps improve the data usage qualitatively as well as quantitatively – concluding into data-driven decision making. The continued outcome measurement entails output and outcome data which is sample-based and continued for quick turn-around. The data is collected and analysed by an independent team of experts and field staff.

Our Approach

Data collection & management

Data analysis

Triangulation with the program monitoring data
Contextualization with the program narrative to build the complete story
Co-positioned with the theory of change & level of effort

Sharing

Addressing feedback

Further sharing

Planning & designing

Need Assessment

Discussions with SRU/GOB, Program team/Other stakeholders

Generation of narration including:

Program priorities
Rationale & context
Level of effort
Expectations

Our Activities

Collecting information from units of analysis and reporting (all blocks and districts) as per the requirement
Ensuring representativeness by using multi-stage proportional random sampling with or without systematic component at the household level
The findings are powered for generating estimates, changes in estimates over time and predictors thereof capable of aggregated and disaggregated stratified analysis
Using large sample sizes ranging from ~1000 to ~80000 respondents
Using focus group discussions, key-informant interviews, observations/ethnographies, and a human centered design
A track record of executing qualitative projects in multiple local languages in major cities, rural and remote areas