This week, we were in Burundi to improve how we collect, manage, and visualize data. Specifically, we wanted to work on two surveys that we conduct in the country using mVAM: an early warning survey – “Systeme d’Alerte Précoce au Burundi” (SAP) – and price data collection, known as mMarket.
mVAM has been active in Burundi since October 2016 and has collected information on different early warning indicators every month since then. Given the very low mobile phone ownership rates in the country, it is not feasible to conduct household food security surveys using mVAM. However, we have been able to gather useful information by regularly calling 55 Burundi Red Cross volunteers there who make up the SAP. These volunteers are Burundian citizens who work closely with the communities we’re trying to reach. They organize weekly meetings with local community focal points, which gives them a good understanding of the food security situation.
Gathering information about food security in the communities through key informants has its challenges of course. Finding out how households are coping without interviewing them directly can sometimes be difficult.
We visited WFP’s Country Office in Burundi in order to combine the local team’s knowledge of the Burundian context with our experience of conducting phone surveys. The result? A new questionnaire that is shorter than the previous one, but still contains all the indicators needed for a meaningful early warning survey. Although the additional indicators we collected in the longer survey provided valuable information, very long questionnaires conducted over the phone have their own set of risks – the length may lead to key informants dropping out or not being willing to participate in the survey at all. Even worse, key informants may want to speed up the survey and don’t think carefully about their answers. We need to remember that volunteers who provide information are often very busy providing assistance to the local communities and may not have much time to speak over the phone!
The second objective of our trip was to improve the mMarket data collection, which uses information from traders in different geolocated markets in the country. We added some commonly consumed food items to the questionnaire, as well as some non-food items, such as the cost of fuel, which serves as an early warning indicator for a rise in food prices.
Both SAP and mMarket yield large amounts of data at a high frequency. Since the added value of mVAM is providing valuable information in as close to real-time as possible, we always try to find new ways of speeding up the data analysis process and the publication of bulletins. As key informant surveys like SAP and mMarket deliver qualitative, rather than quantitative information, there is no magic statistical formula that can be used to make sense of the data. Hence, the only way to build a story around the data is to look at the data itself. We go about doing this by using data visualization tools like the software Tableau. Rather than simply looking at tables, we used dashboards and triangulated the indicators we collected, which enabled us to track how the food security situation is evolving. In the future, we might also use Tableau to produce interactive bulletins, so that users can explore the data we collect in more depth.
Starting in November 2017, our revamped questionnaires will be used and we will publish new bulletins, which will include interactive data visualizations. Stay tuned!
Also published on Medium.