Research on Humanitarian WhatsApp Surveys: An Overview of Papers and Reports
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We all know WhatsApp as an easy-to-use chat app. But did you know that WhatsApp also plays an increasing role in research and humanitarian projects?
For a couple of years now, universities and humanitarian organizations have explored WhatsApp as another option in the toolkit for mobile surveys. And with good reason: Reliable message delivery and low per-message cost when compared to typical SMS or IVR Surveys make WhatsApp an attractive alternative. Features such as audio clips, images, and read notifications offer powerful new ways to interact with constituents.
We explore these benefits and also the challenges that come with using Whatsapp in a separate blog post. In this article here, we will highlight a few research papers with quite different examples of WhatsApp usage to conduct research polls and humanitarian surveys.
Have you written a paper that you think should be included here? Let us know—always happy to extend our knowledge and share it.
(And yes, the image above was AI-generated as we explore tools and approaches to help our customers use “Humanitarian AI ”.)
Building a WhatsApp Survey Tool using APIs (Colombia, US)
How can you do a panel survey of migrants and refugees using WhatsApp?
In their paper, Fei et al. describe how the authors built such a survey and used it to survey 1,651 individuals in Colombia and 343 in the United States.
To design, connect and automate these WhatsApp surveys, the authors used a mix of tools: WhatsApp Business API , Twilio Studio , Google Sheets , and Google Apps Scripts .
Highlights:
The arguably most valuable part from an implementor’s perspective is the Appendix with technical documentation and a How-to manual. Read the full paper here .
Source: Fei, Jennifer & Wolff, Jessica & Hotard, Michael & Ingham, Hannah & Khanna, Saurabh & Lawrence, Duncan & Tesfaye, Beza & Weinstein, Jeremy & Yasenov, Vasil & Hainmueller, Jens. (2020). Automated Chat Application Surveys Using WhatsApp. 10.31235/osf.io/j9a2y .
Comparing Voice IVR and WhatsApp (Senegal, Guinea)
How does WhatsApp compare to IVR for follow-up surveys?
That’s the question that Ndashimye et. al. try to answer in their paper. The authors surveyed 2,144 WhatsApp numbers originally collected by IOM. An SMS announcement was sent, and then one hour later the actual survey, either using WhatsApp or Voice IVR, randomly chosen. In both cases, the question was asked via voice—an audio clip for the WhatsApp case.
The surveys were done using our engageSPARK WhatsApp Survey tool .
Highlights:
Read the paper here . Or read more about how IOM used WhatsApp on our blog.
Source: Ndashimye, F., Hebie, O., & Tjaden, J. (2022). Effectiveness of WhatsApp for Measuring Migration in Follow-Up Phone Surveys. Lessons from a Mode Experiment in Two Low-Income Countries during COVID Contact Restrictions. Social Science Computer Review, 0(0). https://doi.org/10.1177/08944393221111340
Collecting stories of Syrians refugees and migrants (Lebanon)
A few years into the Syrian crisis, the United Nations Development Program (UNDP) wanted to find out how Syrian migrants and refugees and their Lebanese host communities were perceiving their coexistence, their future, and each other.
To that end, UNDP Lebanon did a WhatsApp survey with 1036 people participants: 87% were Syrians, and the rest were Lebanese. Rather than a quantitative study with defined answers, they wanted to hear stories from people. The resulting report is a long but fascinating read. Note also the guide that was produced as part of this report.
Highlights:
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Source: UNDP Innovation ‘Speak up via WhatsApp’ Project-Bar Elias Final Report.
Surveying physiotherapists: Distribute links to an online survey via WhatsApp (Nigeria)
How willing and able are physiotherapists in Nigeria to care for COVID-19 patients?
That’s what Mbada et al set out to answer with a nation-wide WhatsApp survey. They managed to get responses from 210 professionals across various professional organizations and groups. In each group “focal persons” were distributing the survey.
The survey itself was done using an online tool—only the link to the survey was distributed manually via WhatsApp.
Highlights:
Source: Chidozie E. Mbada, Omotola A. Onigbinde, Clara T. Fatoye, Overcomer T. Binuyo, Opeyemi A. Idowu, Adesola O. Ojoawo, Kayode I. Oke, Udoka A. Okafor, Saturday N. Oghumu, & Francis Fatoye. (2021). PHYSIOTHERAPISTS’ KNOWLEDGE, ATTITUDE AND WILLINGNESS TO CARE FOR COVID-19 PATIENTS: A NATIONWIDE SURVEY IN NIGERIA. Journal of Physical Education & Health, 10(17), 60–73. https://doi.org/10.5281/zenodo.6950445
Manual WhatsApp Survey (Burundi)
What anesthesia equipment is available in Burundi? And can WhatsApp be used to find out?
Sund et. al. surveyed 224 people from 65 hospitals in Burundi, asking which of five pieces of anesthesia equipment they had. The survey was done in two parts and questions were sent in a WhatsApp group as free text. The replies came in like that, too: in the group or per direct message as free text.
The survey was done manually, without any automation or API: The president of the association sent the questionnaire directly and got the answers, too. Then, the answers were manually transcribed into a spreadsheet.
Highlights:
Source: Sund, G.C. & Lipnick, Michael & Law, T.J. & Wollner, E.A. & Rwibuka, Gilles Eloi. (2021). Anaesthesia facility evaluation : a Whatsapp survey of hospitals in Burundi. Southern African Journal of Anaesthesia and Analgesia. 27. 70-75. 10.36303/SAJAA.2021.27.2.2456.
Read the paper here .
Endline assessment using WhatsApp Calls to refugee caregivers (Lebanon)
COVID-19 lock-downs kick in and you need to interview refugee caregivers on short notice—how do you do that?
That’s the problem that War Child Holland , an international non-profit organisation, had with their randomised controlled trial (RCT) when lockdowns hit Lebanon. Instead of doing face-to-face interviews, they had to scramble to get going with remote data collection.
Since the interview was not automated, the 30-40 minute interviews had to be scheduled in advance with the 240 participants. Pre-formatted Google Spreadsheets were used for data entry.
Highlights:
It’s a short read. Give it a go here .
Source: Chen, A. & Tossyeh, F. & Arnous, M. & Saleh, A. & El Hassan, A & Saade, J. & Miller, K. E. 2020. Phone-based data collection in a refugee community under COVID-19 lockdown. The Lancet. DOI: https://doi.org/10.1016/S2215-0366(20)30189-9