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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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The people who power refugee resettlement in the United States are deeply committed to their work, but what do their days actually look like, and how is the workforce holding up? Switchboard’s Annual Survey of Refugee Service Providers (ASRSP) seeks to fill this gap in our collective knowledge about those who work to support newcomers […]
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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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Thoughtful data collection is essential whether your goal is to carry out research, conduct evaluations, or monitor program performance and impact. A clear, intentional data collection plan helps us make sure we can collect the information we need, draw useful conclusions about our programs, and inform program budgets, staffing needs, and timelines. This document presents […]
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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 resettlement work, when staff time and capacity are limited, data-related tasks can sometimes feel much less important than delivering services to clients. Staff in charge of data entry may feel overwhelmed by other responsibilities or feel a duty to prioritize client-facing work. On the other hand, staff in charge of managing data quality may […]
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Webinar Overview: Collecting and using client feedback data is essential to strong program design and implementation. However, it can be difficult for newcomer service providers to do so effectively, particularly with limited resources. This webinar presented the basics of collecting and using client feedback. In addition to traditional data collection approaches such as surveys and […]
