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Resettlement organizations often invest substantial time and effort into data collection. Whether the data you collect is required by a funder or simply of interest to your team, you can maximize its value by analyzing it and crafting effective stories from it for a variety of audiences. Rather than providing in-depth descriptions of analysis methods, […]
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Digital technologies are reshaping how refugee services are organized and delivered across the United States. Service providers are increasingly working in hybrid arrangements, engaging clients through virtual platforms, and beginning to explore artificial intelligence (AI) tools in their daily practice. These shifts offer new opportunities to extend reach and improve efficiency, while raising critical questions […]
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Onboarding new monitoring and evaluation (M&E) staff requires a structured introduction to data collection, project design, data quality, analysis, and reporting. This guide provides a customizable framework for agencies to orient staff whose roles include M&E responsibilities, pairing curated reading materials, recorded webinars, and e-learning courses with hands-on reflection activities. Topics span M&E fundamentals, logic […]
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There are many technology tools that can help resettlement staff complete data tasks, but the best tool for you will depend on your specific context. This worksheet offers a series of question prompts that will walk you through important considerations for selecting the right tool, including your organizational context, your goals for the tool, and […]
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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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A research/evaluation after-action learning review is a process of reflection (via meeting, workshop, or other form of consultation) at the end of a research or evaluation project. Its goal is to reflect not on the program or policy studied, but on the design and implementation of the research/evaluation project itself. Learning from these meetings is […]
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An end-of-project learning meeting is a meeting, workshop, or other form of consultation that takes place at the end of a project or project cycle. Its goal is to reflect on successes and challenges and capture project learning to inform future programming. You can use this template as a guide when planning end-of-project learning meetings […]
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Collecting high-quality data is essential in refugee service work, whether for client needs assessments, program evaluations, or organizational learning. But sometimes even well-intentioned surveys can unintentionally create stress, reduce trust, or compromise the accuracy of the data collected. Switchboard’s Trauma-Informed Survey Toolkit (TIST) was developed to help service providers design surveys that are safe, respectful, […]
