Evaluation Design

Evaluation design is the structure that allows you to collect and analyze the data needed to answer your evaluation questions. It is important that the evaluation design align with your logic model, goals, research questions, available resources, and (funder) requirements.

Evaluation Plans

group-brainstorm-session-design-56 What is it? An evaluation plan is the framework that guides data collection. If done well, it aligns to the overall program goal, evaluation goal, and the logic model itself. Ideally, it would be developed in the planning stages of a program so that it could be incorporated into setting target outcomes. Elements of the evaluation plan include the outcomes or outputs that it will assess, the indicators and targets for these outcomes, the assessment measures (how the outputs or outcomes will be measured), the timeframe in which the measures will be implemented, and who is responsible for collecting the data. Our consultants can help you create a solid evaluation plan that will align with your goals, questions, logic model, and consider your analysis goals.

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Lessons Learned

Lessons learned are experiences, knowledge, understandings, or outcomes gained by experience from a particular project or program that should be taken into account on future projects or programs.

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Evaluation Logic Models

A logic model is a one-page, compelling graphic (your road map) that tells the reader/reviewer exactly what, when, where, why, and how.

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Articles and White Papers About Evaluation Plans

Whose Job is it to Evaluate?

Articles and White Papers About Monitoring & Evaluation To RCT or Not? Randomized Control Trials in Nonprofit Work Read More Whose Job is it to Evaluate? Read More The Problem with Relying Solely on Dashboards Articles and White Papers About Monitoring & Evaluation Case Study: Apprenticeship Program Evaluation Conducting a...

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The Problem with Relying Solely on Dashboards

Articles and White Papers About Monitoring & Evaluation Case Study: Apprenticeship Program Evaluation Conducting a statistically representative comprehensive program evaluation which includes conducting a comprehensive evaluation for two workforce development programs and work with each of the vendors and the County to use interim findings to improve program design and...

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Delivering Strong M&E Reports

Articles and White Papers About Reports Finalizing Reports: Statements of Differences Read More Do We Really Need to Share Our Results? Read More Delivering Strong M&E Reports Articles and White Papers About Monitoring & Evaluation To RCT or Not? Randomized Control Trials in Nonprofit Work Read More Whose Job is...

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M&E and Technology

Articles and White Papers About Monitoring & Evaluation To RCT or Not? Randomized Control Trials in Nonprofit Work Read More Whose Job is it to Evaluate? Read More The Problem with Relying Solely on Dashboards Read More Finalizing Reports: Statements of Differences Read More Load More

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FAQ About Evaluation Plans

The process is similar to how research analysis would be conducted, in that an evaluation and coordinating analysis plan would be developed early on in project planning, both tied to key analysis questions that drive the methods used.

If future reporting is easy and quicker due to development of standardized data processing and presentation elements.

Document review can provide important background information for an evaluation, and it can bring to light considerations or issues around a project that may not be possible through other means of data collection. Document review is also typically unobtrusive since it does not require collecting data from participants, and it can be relatively inexpensive.

Data from document review can be inaccurate, incomplete, biased, disorganized, or irrelevant, therefore, it can also be time consuming to compile, organize, and analyze a large volume of documents.

Semi-structured interviewing is the most common type, which includes an interview guide with pre-determined open-ended questions, but also the flexibility of allowing spontaenuous follow-up questions and probing to yield in-depth data.

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