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What tools can you use to evaluate the performance and impact of grant-funded projects?

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If you are a grant administrator, you know how important it is to measure the performance and impact of your grant-funded projects. Not only do you need to report to your funders and stakeholders, but you also want to learn from your successes and challenges, and improve your future practices. But how can you do that effectively and efficiently? In this article, we will explore some of the tools that you can use to evaluate your grant-funded projects, and how they can help you achieve your goals.

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Juan M.

Business Analytics, CFO, Data Analyst, BI

1 Logic models

A logic model is a visual representation of the relationship between your project's inputs, activities, outputs, outcomes, and impacts. It helps you to clarify your project's logic, assumptions, and expectations, and to identify what data you need to collect and analyze. A logic model can also serve as a communication tool to explain your project's theory of change and value proposition to your funders and stakeholders.

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Zafar Riza

President ZR Productions
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In the vibrant world of a software company, logic models are like the code architecture, providing structure and clarity to every project. Inputs: We secured top-notch programmers, cutting-edge technology, and substantial funding. Activities: Our team coded tirelessly, tested rigorously, and collaborated seamlessly. Outputs: Software products rolled out, bugs were squashed, and features dazzled users. Outcomes: Users' productivity soared, businesses thrived, and our reputation grew. Impacts: Years later, our software transformed industries, creating jobs and innovation hubs. Logic models, like a well-engineered software framework, ensured our projects were on track, aligned with goals, and adaptable to changing tech landscapes.

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2 Indicators and targets

Indicators are measurable variables that show the progress and results of your project's activities, outputs, outcomes, and impacts. Targets are specific values or levels that you aim to achieve for each indicator within a given time frame. Indicators and targets help you to monitor and evaluate your project's performance and impact, and to compare them with your baseline and benchmarks. They also help you to set realistic and achievable goals, and to adjust your strategies and actions as needed.

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Juan M.

Business Analytics, CFO, Data Analyst, BI
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Key Performance Indicators (KPIs) Surveys and Questionnaires Interviews and Focus Groups Case Studies Data Analysis Social Return on Investment (SROI) Cost-Benefit Analysis (CBA) Logic Models Third-Party Evaluation Benchmarking Technology Tools Feedback Loops Dashboard Reporting Longitudinal Studies Qualitative Analysis Software

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3 Data collection methods

Data collection methods are the techniques and tools that you use to gather information and evidence for your indicators and targets. They can be quantitative or qualitative, primary or secondary, and involve different sources and samples. Some common data collection methods for grant-funded projects are surveys, interviews, focus groups, observations, document reviews, case studies, and experiments. You should choose the data collection methods that best suit your project's purpose, context, and resources, and that ensure the validity, reliability, and ethics of your data.

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Juan M.

Business Analytics, CFO, Data Analyst, BI
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Surveys: Structured Questionnaires for Data Gathering Interviews: In-Depth Insights Through Direct Conversations Observation: Systematic Watching and Recording of Behaviors Document Analysis: Extracting Information from Existing Records Experiments: Controlled Studies for Causal Relationships Case Studies: In-Depth Examination of Specific Instances Content Analysis: Extracting Patterns from Textual and Visual Content Focus Groups: Group Discussions for Diverse Perspectives Diaries and Journals: Personal Records Over Time Sensor Data: Capturing Physical and Environmental Information Web Scraping: Automated Data Extraction from Online Sources Biometric Data Telephone Surveys Sampling Social Media Analysis Biographical Data Geospatial Data

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4 Data analysis methods

Data analysis methods are the processes and procedures that you use to organize, synthesize, and interpret your data. They can be descriptive or inferential, and involve different techniques and tools. Some common data analysis methods for grant-funded projects are descriptive statistics, inferential statistics, content analysis, thematic analysis, and cost-benefit analysis. You should choose the data analysis methods that best answer your evaluation questions, and that provide meaningful and actionable insights and recommendations.

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Juan M.

Business Analytics, CFO, Data Analyst, BI
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Descriptive Statistics Inferential Statistics Hypothesis Testing: Assessing Significance and Validating Assumptions Regression Analysis: Examining Relationships Between Variables Content Analysis: Analyzing Textual and Visual Content for Patterns Thematic Analysis: Identifying Themes in Qualitative Data Cluster Analysis: Grouping Similar Data Points Factor Analysis: Reducing Data Complexity through Variable Reduction Time Series Analysis Spatial Analysis Network Analysis Machine Learning Qualitative Data Analysis Meta-Analysis Text Mining Statistical Software Geographic Information Systems (GIS) Manipulation and Mapping Multivariate Analysis Big Data Analytics

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5 Data visualization tools

Data visualization tools are the applications and software that you use to present and communicate your data in a visual format. They can be graphs, charts, tables, maps, dashboards, or infographics. Data visualization tools help you to convey your data in a clear, concise, and engaging way, and to highlight the key findings and messages of your evaluation. They also help you to attract and retain the attention and interest of your audience, and to facilitate their understanding and decision-making.

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Juan M.

Business Analytics, CFO, Data Analyst, BI
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Tableau: Interactive Data Visualization for Businesses Microsoft Power BI: Business Intelligence and Analytics Platform QlikView/Qlik Sense: Associative Data Discovery and Visualization Google Data Studio: Free Dashboard and Reporting Tool D3.js: JavaScript Library for Custom Data Visualizations Plotly: Open-Source Data Visualization Library Matplotlib: Python Library for 2D Plotting ggplot2: Data Visualization in R Excel: Basic Data Visualization and Charting Tool Looker: Data Exploration and Business Intelligence Sisense: Cloud-Based Business Intelligence and Data Analytics Periscope Data: Unified Data Platform for Data Teams Chart.js: Simple and Flexible JavaScript Charting Library Infogram Highcharts FusionCharts Google Charts

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6 Evaluation reports

An evaluation report is a written document that summarizes and communicates the purpose, methods, findings, conclusions, and recommendations of your evaluation. It is the main deliverable and product of your evaluation, and it serves as a record and reference for your project's performance and impact. An evaluation report should be accurate, credible, relevant, timely, and user-friendly, and it should follow the standards and guidelines of your funder and stakeholder.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What tools can you use to evaluate the performance and impact of grant-funded projects?

1

2

3

4

5

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1 Logic models

2 Indicators and targets

3 Data collection methods

4 Data analysis methods

5 Data visualization tools

6 Evaluation reports

7 Here’s what else to consider

Grant Administration

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What tools can you use to evaluate the performance and impact of grant-funded projects?

1

2

3

4

5

6

7

1 Logic models

2 Indicators and targets

3 Data collection methods

4 Data analysis methods

5 Data visualization tools

6 Evaluation reports

7 Here’s what else to consider

Grant Administration

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