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Program data can help us make informed decisions about the services we deliver. However, to be useful, data needs to be of good quality (relevant, valid, accurate, complete, and timely) and processes must be in place to regularly analyze and act upon this data and to feed learning back into program design and service delivery. […]
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A logic model is a tool that visually depicts the rationale behind an intervention. Logic models show how the activities you plan to implement can lead to the changes you hope to see. This tipsheet introduces the two most common types of logic models used for project design in resettlement work, theories of change and […]
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Logical frameworks, known as logframes, are project design tools that help you clearly outline the data you plan to collect to measure the results of a project. While logframes are sometimes required for grant proposals, you can also use them to support internal learning by planning to collect data that best helps you understand whether […]
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In refugee resettlement, we often collect a lot of data to report on and learn about our programming. This is often a team effort, especially when it comes to collecting and entering data on case management programming. Quality data is key to a smooth reporting process and supports internal learning, so this guide includes tips […]
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Developing and following SOPs can help make data quality assurance part of your culture and routine practices. SOPs can improve your data not just through having a consistent framework for resolving problems that may arise, but also by building staff confidence and dedication to quality data. This document provides sample SOPs in the context of a case […]
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Who should use this checklist? This checklist is intended for refugee service providers who are involved in collecting, using, and managing data for reporting and compliance. They may be monitoring and evaluation (M&E) staff, direct service providers, or others, depending on the structure of their organization. The checklist can be used by an individual or […]
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In 2020, Episcopal Migration Ministries (EMM) launched a training and peer learning program to strengthen capacities of its subrecipients to collect and use data to measure results, guide program improvements, and inform overall decision making. This program delivers training that is practical and accessible for subrecipients and accounts for diversity across subrecipient capacity, characteristics, programming, […]
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This webinar is presented by Switchboard, a one-stop shop for refugee service providers in the United States. Learn more about Switchboard at www.SwitchboardTA.org. Hosted on October 6, 2023 the training was delivered by Robert Reynoso, Qualitative Data Officer at the International Rescue Committee (IRC) and Adedoyin Celia Ojo, Client Engagement Program Officer at the IRC. […]
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This tool provides guidance for preparing your data for analysis; a process also known as “data cleaning.” It contains a spreadsheet and accompanying instructional document that walk through this process of preparing data for analysis step by step using a sample data set.
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Data-informed decision making is a guiding principle for the Office of Refugee Resettlement (ORR) and the programs it supports. But what is involved in making data-informed decisions and implementing data-driven programs? This info guide explains the importance of data-driven programs, how to set a learning agenda for collecting purposeful data, and how to develop a […]
