Evaluation Data Analysis
Data analysis for evaluation is about looking for and investigating patterns through either quantitative (numerical) or qualitative (textual and/or visual) data. If using both kinds of data, considerations must be given to how these methods will be combined to enrich, examine, explain, and triangulate findings.
Reporting Optimization
What is it? Reporting optimization is about creating a seamless and efficient way of creating reports from frequently reported data. Summarizing and displaying data in the best possible way is the end goal of report optimization. To do this, you must understand your audience and communicate data that meets their expectations but does not overload them.
If done right, data reporting is succinct, accessible, answers relevant questions, user-friendly, and sheds light on lessons learned. A reporting optimization process can be developed for any type of reporting where there is standard data monitoring and recurrent reports are expected, making evaluation data prime reporting optimization ground. When you create automatic reporting systems, you reduce the chances of error, time, and cost.
How can we help you?
- Develop a report prototype in a Word document
- Set up the data reporting structure
- Write the technical aspects of the report
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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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Learn MoreEvaluation 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.
Learn MoreArticles and White Papers About Reporting Optimization
Finalizing Reports: Statements of Differences
Articles and White Papers About Report Optimization 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 Reports Finalizing Reports: Statements of Differences Read More Do We Really Need to Share Our Results? Read...
Read MoreDo We Really Need to Share Our Results?
Articles and White Papers About Reports Finalizing Reports: Statements of Differences Articles and White Papers About Report Optimization 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 Reports Finalizing Reports: Statements of Differences...
Read MoreDelivering 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...
Read MoreCrafting Effective Executive Summaries
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
Read MoreFAQ About Report Optimization
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.
As soon as a program is implemented, and during program implementation.
Conferences will usually provide their own guidelines for presenting your work. More and more, conferences are moving away from highly text-heavy presentations and icon-graphics. They center more heavily on key findings in layperson terms, with supporting documentation related to your actual methods. Simplicity and an effective use of white space are key.
Lessons learned should come from multiple sources, not just a single source, so that the information gained can be reinforced and triangulated.
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Peggy Ostrander, DNPc, APRN, FNP-C Plano, Texas