The research method for the in-depth assessment is specific to each city region, depending on the priority areas and data gaps identified at the end of the Rapid scan module, and the indicators. 

The research method is drawn up by the project coordinator and project team, including the value chain expert and GIS expert (where contracted). The process begins with the indicators, and involves breaking down each indicator into a series of quantitative and qualitative questions. For each question, suitable data sources and data collection methods are identified. 

The following resources will help with developing the research method: 

Guidance: Developing the research method for the In-depth assessment 

This tool sets out a logical process for developing the research method for the in-depth assessment 

Guidance: Step-by-step GIS guide for the CRFS assessment and planning process

[Available soon] 

Example: Kigali research method development table 

This example shows the development of quantitative and qualitative research questions out of the initial indicators drawn up for the CRFS project in Kigali, Rwanda, as well as the data source and data collection method for each.  

Training unit 7: Working with indicators 

This training unit explains the central role of indicator frameworks in the CRFS process, and gives guidance on how to develop initial indicator frameworks that are tailored to local context and priorities.

Training unit 8: In-depth assessment of the CRFS  

This training unit explains how to develop the methodology for an in-depth assessment of CRFS sustainability, including identifying data sources and data collection methods. It provides advice on conducting fieldwork and data analysis. 

Training unit 9: In-depth assessment of climate and pandemic risks to the CRFS 

This training unit explains how to develop the methodology for an in-depth assessment of climate and pandemic risks to the CRFS, including identifying data sources and data collection methods. It provides advice on conducting fieldwork and data analysis.