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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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The Annual Survey of Refugee Service Providers (ASRSP) Pilot surveyed 346 refugee service providers across the U.S. in January 2025 to capture insights into their professional experiences, well-being, and working conditions. This report highlights key findings on burnout, mental health, direct service delivery, workplace safety, and organizational conditions, alongside actionable insights and Switchboard resources for […]
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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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Logic models, including theories of change and logical frameworks (logframes) are valuable project design tools that can help you plan effective resettlement programming. This resource offers three templates you can use or adapt for creating your theory of change, and three for creating your logframe. Each includes examples to guide you in completing your logic […]
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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 graphic representation that defines all the building blocks required to bring about a given long-term goal. A theory of change (ToC) is a type of logic model that provides a visual representation of the change process, usually using arrows. Developing one can help your team: make sure that the logic […]
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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 […]
