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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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...
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Read MoreCrafting Effective Executive Summaries
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Read MoreFAQ About Report Optimization
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.
Starting with your methods section, and then working your way through your discussion, literature review, and introduction, and finally writing your abstract can be a helpful order to follow.
Some best practices include basing recommendations on evaluation results, involving key stakeholders in making recommendations, and using clear and specific language in writing recommendations.
Key stakeholder engagement in all evaluation phases, including in the reporting phase, is typically an important part of the evaluation process. Engaging stakeholders in reporting can help define the report audience and make sure the report findings meet the evaluation purpose.
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Peggy Ostrander, DNPc, APRN, FNP-C Plano, Texas