Terms of Reference: Financial Inclusion M&E Mobile Pilot Survey

FinMark Trust (FMT) and the Insight2Impact (i2i) facility invite proposals from research organisations with relevant research experience and expertise to conduct a Financial Inclusion M&E mobile pilot survey. The scope of work is provided in the following terms of reference.

About this project

FMT, and the i2i facility and are working to develop a monitoring and evaluation methodology to measure and track key financial inclusion metrics using mobile data collection. The core objective of this pilot study is to determine the viability of an alternative to face-to-face data collection, e.g. mobile SMS, mobile web, or USSD to accurately collect and track data on financial inclusion. Our preferred method of data collection is mobile SMS however, we are open to proposals that include other options with a clear rationale.

The study must provide insight into the following:

  1. Comparability of findings to FinScope and/or FinScope type surveys
    • We will be testing the key indicators taken from the UNCDF MAP M&E framework and the FinScope Access Strands framework. These two frameworks and exact indicators are still to be confirmed but will consist of no more than 10 – 15 questions each and will focus issues related to financial inclusion – for example access to a bank account and other formal and informal products, types of accounts used, repertoire of accounts, ease of accessing services, etc. We require two survey cells, each to test one of the two possible frameworks.
  2. The reach and representation of a mobile sample
    • Who is reached using a mobile methodology, and conversely who is excluded (we will require a comparison of the sample profile against the latest available population statistics and FinScope data)?
    • Recommendations on how to control the sample to achieve the best representation.
  3. Data quality considerations
    • How do we overcome the limitations of character limits and poor responding on single mention questions using the mobile methodology?
    • What is the size of speeders or flat-liners in the completed sample?
    • What is the best practice for data validation checks and how is quality controlled?
  4. Response patterns
    • How do mobile response patterns differ from traditional research approaches?
    • Are there certain questions that are more (or less) appropriate for the mobile methodology?

To download full Terms of Reference, click here.