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Aug 17 2024

Principales Diseños de Evaluación de Impacto: Cuándo y Cómo Usarlos, Ejemplos y Aplicaciones

Hoy nos adentramos en un arte de medir el cambio: una lista esencial sobre diseños de evaluaciones de impacto. Incluye consejos prácticos sobre cuándo es mejor usarlas, cuándo no, y estudios de caso ilustrativos que demuestran la eficacia de cada método

1. Diseño Experimental (Aleatorizado)

Descripción: Asignación aleatoria de participantes en grupos de tratamiento y control.

Cuándo usarlo: Ideal cuando se puede controlar la asignación de los participantes y se busca obtener resultados robustos y libres de sesgo.

Cuándo NO usarlo: No es adecuado cuando la asignación aleatoria no es ética o factible.

Ejemplo 1: Evaluar el impacto de un nuevo programa educativo en el rendimiento académico de los estudiantes. Los estudiantes se asignan aleatoriamente a recibir el programa (grupo de tratamiento) o no (grupo de control).

Ejemplo 2 : Un estudio en Kenia evaluó el impacto de la distribución de mosquiteros tratados con insecticida en la reducción de la malaria. Los resultados mostraron una disminución significativa en los casos de malaria1.

2. Diseño Cuasi-Experimental

Descripción: Métodos como el diseño de regresión discontinua, diferencias en diferencias, y pareamiento.

Cuándo usarlo: Útil cuando la asignación aleatoria no es posible, pero se pueden identificar grupos comparables.

Cuándo NO usarlo: No es adecuado cuando no se pueden encontrar grupos comparables o cuando hay cambios simultáneos que afectan los resultados.

Ejemplo 1: Evaluar el impacto de una política de subsidios en el empleo. Se puede comparar el empleo antes y después de la implementación de la política en regiones con y sin subsidios.

Ejemplo 2: Un estudio en México utilizó diferencias en diferencias para evaluar el impacto del programa Oportunidades en la educación y salud de los niños. Se encontró que el programa mejoró significativamente la asistencia escolar y la salud infantil2.

3. Diseño No Experimental

Descripción: Observación y análisis de datos sin manipulación directa de variables.

Cuándo usarlo: Adecuado cuando no es posible realizar experimentos o cuasi-experimentos, pero se dispone de datos relevantes para el análisis.

Cuándo NO usarlo: No es adecuado cuando se requiere establecer una relación causal clara.

Ejemplo: Un análisis de la campaña de concienciación sobre el reciclaje en una ciudad mostró un aumento en las tasas de reciclaje, aunque no se pudo atribuir directamente a la campaña debido a la falta de un grupo de control3.

4. Diseño de Regresión Discontinua

Descripción: Utiliza un umbral claro para la asignación al tratamiento.

Cuándo usarlo: Ideal cuando existe un criterio de corte claro y se puede comparar a los que están justo por encima y por debajo del umbral.

Cuándo NO usarlo: No es adecuado cuando el umbral no es claro o cuando hay manipulación alrededor del umbral.

Ejemplo 1: Un estudio en Colombia evaluó el impacto de las becas educativas otorgadas a estudiantes con calificaciones justo por encima de un umbral específico. Se encontró que las becas aumentaron significativamente la probabilidad de graduación4.

5. Diferencias en Diferencias

Descripción: Compara los cambios en los resultados a lo largo del tiempo entre un grupo de tratamiento y un grupo de control.

Cuándo usarlo: Útil cuando se tienen datos longitudinales y se puede asumir que las tendencias habrían sido similares en ausencia del tratamiento.

Cuándo NO usarlo: No es adecuado cuando las tendencias preexistentes entre los grupos son diferentes.

Ejemplo: Un estudio en Estados Unidos utilizó diferencias en diferencias para evaluar el impacto de la reforma laboral en las tasas de empleo. Se encontró que la reforma aumentó las tasas de empleo en las regiones afectadas5.

6. Pareamiento (Matching)

Descripción: Empareja participantes del grupo de tratamiento con participantes del grupo de control que tienen características similares.

Cuándo usarlo: Adecuado cuando se dispone de datos detallados sobre las características de los participantes y se puede identificar un grupo de comparación adecuado.

Cuándo NO usarlo: No es adecuado cuando no se pueden encontrar suficientes coincidencias o cuando hay variables no observables importantes.

Ejemplo: Un estudio en India utilizó pareamiento por puntaje de propensión para evaluar el impacto de un programa de microcréditos en el empoderamiento de las mujeres. Se encontró que el programa mejoró significativamente el acceso a recursos financieros y la toma de decisiones en el hogar6.

Written by cplysy · Categorized: TripleAD

Aug 15 2024

What is Data Design?

Do you want to become a confident data designer? The first step is probably understanding what data design even means.

Data Comic. 
Person with thought bubble, "This is the perfect length for a useless report. Short enough to be missing important information. But just long enough to stop most people from reading it."

I shared the following definition when writing my blog post about how to become a data designer. But in this post, I plan to dig deeper.

What is data design?

Data design is a blend of two very different skillsets. It requires a mix of skills in research methods, data analysis, graphic design, communications strategy, UX design, and data visualization.

That skill mix allows an individual to create useful data products, find and tell good data stories, un-complicate complex information, connect with audiences across multiple platforms, increase reporting effectiveness (a.k.a. create better reports), and increase reporting efficiency (a.k.a. implement a faster design process).

Why the world needs data design?

There are many reasons. Here are just a few.

  1. We have access to more information than ever.
  2. Effectively sharing data has always been tricky.
  3. Everyone is overwhelmed. This makes sharing important things harder.
  4. The status quo approaches to data sharing are less effective than ever.
  5. Most data people are not taught anything about design or modern communications in school.
Data Comic.
Person one, "We have lots of useful data in our data warehouse."
Person two, "That's awesome. So what's the problem?"
Person one, "I'm the only one with access."

Is data design the same thing as data visualization design?

I say no.

Data visualization is the graphical representation of information and data.

Design is not about visuals. It’s not about art. In the words of Milton Glaser, “design is the process of going from an existing condition to a preferred one.”

For me, data design is about changing the condition of an analysis so that it can actually reach an audience. It’s more than data visualization and it’s more than data storytelling.

It could be about how to structure information so that it can be shared more freely on the web. Or how the information is prioritized on a page so that the right information sticks in the reader’s mind. Or it could be how we utilize illustration to engage the reader to dive deeper into the analysis.

Some of this might involve creating visuals. But sometimes we can have the biggest impact through simple adaptation. Adapting a long dull report into a web page, a series of simple one pagers, a bunch of little infographics, or a set of videos can exponentially increase the value of the report.

How Matters.

As my career has evolved the thing I keep coming back to is that how we share information and data matters as much as what we share.

The best analysis, evaluation, or research project in the world isn’t going to make any difference if it’s packaged in a long PDF and then buried in some web archive.

Data Comic.
Person thinking, "This could have been an infographic."
Picture of computer screen, "New Dashboard, Now with 3 Charts!"

Data Design in Practice.

Here are some of the things a good data designer should be able to do.

Reduce Complexity

Remember the whole “everyone is overwhelmed” thing. It means if we want our data to stick, we have to reduce the complexity. This means reducing the “cognitive load” so that the report requires less mental processing power.

Increase Retention

If we want our work to be useful, we need to do more than just throw information at people. It needs to stick in our reader’s memory. Better design can help improve how our readers remember what we share.

Increase Engagement

Can you make your work interesting? What does it take to encourage your reader to care about what comes next? This is where good data storytelling and illustration can play a significant role.

Expand Reach

Most status quo reports are not designed to travel. If you want people to share your work with others or include it in their own presentations, better design can help.

What other questions do you have about data design?

Let me know if the comments.

Written by cplysy · Categorized: freshspectrum

Aug 13 2024

Private Data Visualization Workshops: What’s Inside?

I offer full-day workshops on 6 different topics. All of these classes fall under the broad data communications umbrella.

You can choose from these 6 classes:

  • Simple Spreadsheets
  • Great Graphs
  • Great Graphs in Excel
  • Report Redesign
  • Dashboard Design
  • Powerful Presentations

One class focuses on data analysis (cleaning and tabulating our raw datasets to get them ready for graphs).

Two classes focus on core data visualization skills (translating technical information for non-technical audiences; making sure we don’t just have bar charts; and using colors and fonts that are branded, accessible, and intuitive).

Three classes are advanced, sort of. I call them deep dives because they focus just on reports, or dashboards, or presentations. You’ll need to have your graphs created and edited first (skills taught in previous classes) so they can feed into those reports, dashboards, and presentations.

In this article, you’ll learn more about each of the classes.

Simple Spreadsheets

How to Analyze Data from Start to Finish in Excel

Need to make sense of spreadsheets? Not sure where to start? Chances are, there’s a faster and easier way to get it done.

In this class, you’ll practice a step-by-step process for exploring, cleaning, analyzing, and tabulating your dataset. These spreadsheet skills will save your time, energy, and sanity.

You’ll learn how to:

  1. organize your brand new datasets by adding filters, freezing panes, and keeping raw data separate from clean data;
  2. merge disparate spreadsheets together with lookup formulas;
  3. clean and recode messy data (by checking for missing data and duplicates, and by transforming variables);
  4. run descriptive statistics and frequencies; and
  5. explore data more fully through pivot tables.

This workshop is highly interactive. Each section begins with a demonstration followed by a break for hands-on practice. For example, in the Analyze Data with Pivot Tables module, the instructor will show how to insert a pivot table and drag-and-drop variables. Then, you’ll practice right away, and you’ll be expected to ask questions whenever you get stuck.

Learning Objectives

After the one-day workshop, participants will be able to:

  • merge data from multiple sheets into a single master dataset;
  • organize spreadsheets by adding filters and freezing panes;
  • check for duplicates and missing data;
  • clean and recode messy data to get it ready for analysis;
  • run basic descriptive statistics and frequencies; and
  • explore data more fully through pivot tables.

Target Audience

Researchers, evaluators, scientists, graphic designers/communications staff, and admin staff who need to use Excel spreadsheets as part of their job–and it’s not your favorite part of your job.

If you already teach Excel at conferences or in seminars, you don’t need this class. It’s for those of us who didn’t take graduate courses specifically on Excel formulas.

If formulas and pivot tables have always been easy for you, you don’t need this course. It’s for those of us who feel like we’re missing something; that “I don’t know what I don’t know” feeling.

If you’re looking for a dataviz course, this isn’t it. Simple Spreadsheets is about: You’re opening a brand new dataset for the first time. Now what?! You’ll tabulate nominal, ordinal, interval, and ratio variables with the right formulas (you’ll need different formulas based on the type of variable/dataset). You’ll learn the in’s and out’s of pivot tables — and when to use formulas vs. pivot tables. These are the skills that precede graphs, dashboards, reports, and slideshows.

Level

Beginner/intermediate.

Prerequisites

None.

(But this course is a suggested prerequisite for all the other classes.)

Equipment Needed

A desktop or laptop computer (not a tablet or phone).

PCs preferred over Macs.

Webcams suggested for virtual classes so that staff can fully participate.

Software Programs Used

Excel is required.

Newest version preferred (called “Microsoft 365”).

Materials Included

  • 1 day of live instruction (e.g., 9-4 on-site, or 9-12:30 two days in a row virtually)
  • Access to recordings for 1 year so you can re-watch anything you’d like
  • Excel files with step-by-step instructions and hands-on activities

What Participants Are Saying

“As a 20+ year Excel user I can not BELIEVE the things I didn’t know, and that I learned to master in moments from Ann’s brilliant and engaging teaching. This course is by far the most well prepared and executed online course I have ever taken… The course materials are actual Excel files embedded with the skills, tricks and formulas… As far as who this course is best suited to, I think it could help Excel users of all levels, from beginners to advanced (which is what I would have called myself before taking this course and realizing my knowledge gaps!). For beginners it would be a one-stop shop of all you need to know to excel at Excel. For long-time users it will provide short-cuts, helpful formulas and other tricks you might not have known were hiding in this program. I truly can’t say enough about it, and have already recommended it to research colleagues, data/social indicator experts and policy folks.” – Lynn Davey, Ph.D, Davey Strategies

“I am a university researcher and have a lot of familiarity with data collection and statistical analysis programs/platforms (e.g. SPSS, SAS, etc.), but needed a low-cost, widely-used data collection and analysis tool I could recommend and teach to the community partners with whom I conduct research. I have known for a long time that Excel was likely the solution to my problem, but could never find time to learn to use it, except in the most basic ways (sort, sum). Last summer, I took Ann Emery’s Simple Spreadsheets course and dramatically improved my Excel acuity. *Plus* the course was fun, straightforward, and immediately useful… This course was more than worth the time and money I put into it, and I continue to learn and benefit from it (almost a year later). I highly recommend this course!” – Sarah V. Suiter, Vanderbilt University

Case Studies from Past Participants

You can view participants’ before-after transformations here:

  • 6 Data Cleaning Steps to Save You Millions by Hudson Kelley, HOPE International

Great Graphs

A Software-Agnostic Introduction to Accessible Data Visualization

Are your takeaway findings getting lost? Busy graphs can slow down the viewer’s comprehension, increase cognitive load, and fail to inform decision-making processes. With intentional editing, we can design graphs that inform and inspire.

During this class, you’ll walk through a step-by-step process that you can apply to your own projects.

You’ll learn how to:

  1. customize your visualizations for each of your audiences (technical vs. non-technical, internal vs. external, etc.);
  2. choose the right chart type for your dataset (hex maps vs. choropleth maps, donuts vs. waffles, spaghetti lines vs. small multiples, etc.);
  3. select an appropriate software program for your needs;
  4. declutter your visuals so that viewers’ attention is focused on the data; and
  5. use colors and fonts that are branded, accessible, and intuitive.

Learn More

Sample Agenda

In-person workshops typically last a full day (e.g., 9 – 4, with a 1-hour lunch break). Virtual workshops can be a single full day (9-4) or two half days (e.g., 9-12, two days in a row).

Here’s a sample agenda:

  • 9 – 9:50: Welcome & Logistics; Understand Our Audiences
  • 9:50 – 10: Break
  • 10 – 10:40: Choose the Right Chart
  • 10:40 – 10:50: Select a Software Program
  • 10:50 – 11: Break
  • 11 – 11:15: Declutter
  • 11:15 – 12: Color
  • 12 – 1: Lunch
  • 1 – 1:30: Text
  • 1:30 – 1:50: Case Studies
  • 1:50 – 2: Break
  • 2 – 2:50: Case Studies
  • 2:50 – 3: Break
  • 3 – 3:30: Case Studies
  • 3:30 – 4: Satisfaction Surveys; Next Steps
Sample Activities

We might:

  • Use the Audience Analysis Crosswalk to map out your various audiences’ needs and preferences (to make sure your visualizations are customized perfectly for them);
  • Talk through discussion-starter questions in a small group (for example, to decide which audiences prefer data storytelling approaches, or not);
  • Set up branding presets (“Theme Colors” and “Theme Fonts”) inside Excel (to look professional and save time);
  • Test our graphs for accessibility features, like color contrast, colorblindness, and grayscale printing, using government-approved websites;
  • Sketch out 3-5 chart options for a given dataset (to practice weighing the pros and cons of different graphics); and/or
  • Discuss or sketch out before-after makeovers from your real workplace.
Learning Objectives

After the one-day workshop, participants will be able to:

  • write graph text (titles, annotations, tooltips, etc.) that is branded, accessible, and intuitive).
  • explain when they would use traditional graphs vs. storytelling graphs;
  • weigh the pros and cons of presenting data through various chart types (e.g., clustered bar charts vs. dot plots, and choropleth maps vs. hex maps);
  • explain how to declutter visuals to make sure the viewers’ attention is focused on the key patterns (e.g., by removing redundant text);
  • select graph colors that are branded, accessible, and intuitive; and
  • write graph text (titles, annotations, tooltips, etc.) that is branded, accessible, and intuitive).
Target Audience

Researchers, evaluators, scientists, graphic designers/communications staff, and admin staff who need to share data with others through accessible graphs.

Level

Beginner/intermediate.

Prerequisites

None.

(But this course is a suggested prerequisite for Great Graphs in Excel, Report Redesign, Dashboard Design, and Powerful Presentations.)

Equipment Needed

A desktop/laptop computer (not a tablet or phone).

PCs preferred over Macs.

Webcams suggested for virtual classes so that staff can fully participate.

Software Programs Used

The Microsoft suite (Excel, PowerPoint, Word).

This workshop focuses on software-agnostic best practices that can be applied to any software program you might be using, from Excel to Tableau to R.

Most of us are using everyday software – Excel, PowerPoint, and Word – for at least some part of our workflow. For example, we might make maps in ArcGIS… and transfer them into PowerPoint to share with colleagues.

We’ll have a few hands-on activities using Microsoft programs.

Materials Included
  • 1 day of live instruction (e.g., 9-4 on-site, or 9-12:30 two days in a row virtually)
  • Access to recordings for 1 year so you can re-watch anything you’d like
  • Handout
  • Ebook
  • PDF’d slides

What Participants Are Saying

“I would often see charts, graphs, and other data visuals in journal articles, and think to myself, ‘Wow, this is horrible; I have no idea what I am supposed to learn from this!” But I had no idea how to make it better or offer constructive suggestions.  After Great Graphs, I learned about how to select the best type of graph and how to make it visually appealing to the intended audience.  My own publications and posters have also benefitted—no more hard-to-read charts filled with clutter!” – John R. Heberger, Epidemiologist, Centers for Disease Control and Prevention

Case Studies from Past Participants​

You can view participants’ before-after transformations here:

  • A Before-After One-Pager Makeover by Lillian Haley, Haley Evaluation & Research Services

Great Graphs in Excel

How to Make Beginner, Intermediate, and Advanced Graphs from Start to Finish

You’re familiar with all the research-based dataviz best practices. Now, let’s get down to business and make those graphs in Excel!

During this class, you’ll make beginner, intermediate, and advanced graphs in Excel.

You’ll walk through three levels of Excel vizardry:

  1. First, in Level 1, learn the in’s and out’s of overused native charts (bar charts, pie charts, line charts, and more).
  2. In Level 2, you’ll make underused native charts, like tree maps, sunburst diagrams, and geographic maps.
  3. Finally, in Level 3, you’ll make non-native charts–charts that require sophisticated workarounds to produce in Excel, like dot plots, b’arc charts, small multiples bar charts, population pyramids, waffle charts, and more.

Learning Objectives

After the one-day workshop, participants will be able to:

  • create and edit a few classic chart types (bars, lines, pies, etc.) to make sure they’re Big A Accessible (508-compliant) and little a accessible (intuitive);
  • practice creating a few newer chart types that are now available in Excel, like geographic maps and tree maps; and
  • transform a few Regular Tables into Magic Tables to fully harness Excel’s power and make dot plots, population pyramids, and more.

Target Audience

Researchers, evaluators, scientists, graphic designers/communications staff, and admin staff who need to share data with others through accessible graphs.

Level

Intermediate.

Prerequisites

You should complete a one-day data visualization best practices class first (like Great Graphs).

You should already have strong spreadsheet skills (being able to transform your raw data into clean, tabulated data (skills covered in Simple Spreadsheets).

Equipment Needed

A desktop/laptop computer (not a tablet or phone).

PCs preferred over Macs.

Webcams suggested for virtual classes so that staff can fully participate.

Software Programs Used

Excel is required.

Newest version preferred (called “Microsoft 365”).

Materials Included

  • 1 day of live instruction (e.g., 9-4 on-site, or 9-12:30 two days in a row virtually)
  • Access to recordings for 1 year so you can re-watch anything you’d like
  • 25+ Excel files with step-by-step instructions and templates for making beginner, intermediate, and advanced graphs
  • 2-page Chart Chooser
  • 1-page cheat sheet on Transferring Graphs from Excel into Word or PowerPoint
  • Instructions for setting up Theme Colors & Theme Fonts

What Participants Are Saying

“Before the course, I presented numbers narrated by text…yawn. Now, I present numbers as a story with visuals, sometimes as simple as sparklines, which engages staff and invites their insights! The Great Graphs in Excel course helped me see and share what story our data is telling. This course is best for people who learn through interaction, not just watching videos and reading tutorials. Ann K Emery responds to students’ questions and specific data scenarios, has us try the solutions real-time, and engages and encourages her students (probably the most impactful part of the course…) I especially appreciate her walking us through her thought process as she demonstrates the procedures she’s developed. It’s like having an officemate who’s both a whiz and mentor, which helps make me a better analyst.” – Ellen Shepherd, Program analyst at a nonprofit

“This course helped me to see Excel as a flexible tool for a wide range of data management and analysis tasks… Much more than just tables and calculations!” – Bob Coulter, Missouri Botanical Garden

“My trend is definitely upward in this course. I’m learning EVERYTHING about graphs and #dataviz. Even the first couple lessons taught me so much useful formatting information about Excel that are already saving me so much time and ensuring my #professionalbranding consistency. And I’m looking forward to making graphs and charts that can convey complex information in an effective way!” – Sue Griffey, Founder, SueMentors

“Enrolling in courses at Depict Data Studio is one of the best professional developments I have ever made… After eight months with Ann, I was able to turn my blah capabilities statement into something I am happy to share! I could go on and on about the many design and data visualization lessons I’ve learned from Ann. Instead, I’ll end by saying that books and blogs are excellent resources. I have several books and subscribed to many blogs. However, they do not compare to live and on-demand instruction of Depict Data Studio.” – Lillian Haley Ph.D., MSW, ChFC®, President and Owner, Haley Evaluation & Research Services (HERS)

Case Studies from Past Participants​

You can view participants’ before-after transformations here:

  • 3 Simple Steps that Took My Graph from Good to Great by Maia Werner-Avidon, evaluator

Report Redesign

How to Transform Text-Heavy Technical Reports into Visual, Skimmable Reports

Were you trained to write lengthy technical reports with methodological details? Technical reports are a great fit for technical audiences, like our peers working in public health. But what about our non-technical audiences, like policymakers or the general public?

In this class, you’ll learn how to translate technical data for non-technical audiences. You’ll walk through 3 layers of the Report Redesign pyramid.

Here’s what you’ll learn and practice:

  • In Level 1: Go Beyond the Report, you’ll learn how to add a variety of dissemination formats to your project (not just reports) in order to meet a variety of audiences’ needs. You’ll also learn about the 30-3-1 Approach to Reporting, visual appendices, and the 8 ingredients for designing one-pagers.
  • In Level 2: Structure Your Report, you’ll learn how to design a 20-minute cover. Then you’ll visually chunk your data with color-coded chapters. These are the big-picture, structural edits that make data-dense reports easier to skim and navigate.
  • Finally, in Level 3: Design Each Page, you’ll fine-tune the graphs and paragraphs included on each page. You’ll see a checklist of 15 Ideas for Visuals, and then practice adding more visuals to each page. You’ll also edit your writing to ensure that it’s accessible and inclusive.

Learning Objectives

After the one-day workshop, participants will be able to:

  • name a few dissemination formats (beyond technical reports) that would be ideal for non-technical audiences;
  • describe the 30-3-1 Approach to Reporting;
  • name 8 ingredients that should be included in one-pagers;
  • create a 20-minute report cover in Word;
  • create color-coded divider pages in Word; and
  • transform one text-heavy page into a visual, skimmable page.

Target Audience

Researchers, evaluators, and scientists who are preparing technical reports (peer-reviewed articles, etc.) and need to translate those scientific details for non-technical audiences.

Or, graphic designers/communications staff and admin staff who are helping scientists prepare those non-technical reports or infographics.

Level

Intermediate/advanced.

This training is ideal for staff who regularly work on reports of any type or length, and who might already be thinking about adding one-pagers or infographics to their project.

In other words, you’ll gain the most from this session if you can bring your own draft reports to work on. It’ll be harder to participate if you don’t have any documents to work on during the hands-on portions.

Suggested Prerequisites

This course is about designing reports and one-pagers for non-technical audiences. It’s not a data visualization course. We suggest that you complete a half-day or full-day data visualization class first. Then, those well-designed graphs and maps can go into the reports that you’ll fine-tune during this course.

Equipment Needed

A desktop/laptop computer (not a tablet or phone).

PCs preferred over Macs.

Webcams suggested for virtual classes so that staff can fully participate.

Software Programs Used

You’ll learn both reporting best practices and Word how-to’s.

Materials Included

  • 1 day of live instruction (e.g., 9-4 on-site, or 9-12:30 two days in a row virtually)
  • Access to recordings for 1 year so you can re-watch anything you’d like
  • Ebook
  • PDF’d slides

What Participants Are Saying

“Investing in the Report Redesign course from Depict Data Studio was one of the best decisions I have made in my career. Before the course, I was writing long, wordy reports that I thought were visually appealing because I included tables and bar charts; I had no idea the options I had within software I already had access to. Now, I create impactful one-pagers and reports that are visually appealing and even more importantly, get read by my colleagues. I know that there are more than 15 types of visuals to include in reports, how to utilize my company’s brand to my advantage, and more. I have been complimented on the new look of my reports by coworkers and external stakeholders, and continue to have “aha” moments of how I can continue to apply Ann’s advice as access to the course never expires. I cannot recommend this course enough. Thanks Ann and Depict Data Studio!” – Olivia Power, Data and Reporting Specialist, National FFA Organization

Case Studies from Past Participants

You can view participants’ before-after transformations here:​

  • Upping Your Reporting Game–with PowerPoint! by Ann Webb Price, Community Evaluation Services
  • Three Ways Intentional Data Viz Has Elevated My Work by Kathy Dowell, The Evaluation Group

Dashboard Design

How to Design Static and Interactive Dashboards in Excel

Why wait until the end of the year to write a lengthy report when you can share data early and often with dashboards? Your organization’s leaders have more important things to do than read lengthy reports. Dashboards get to the point so that leaders can understand the numbers and take action.

During this class, you’ll make both static and interactive dashboards in Excel.

First, you’ll see sample dashboards from a dozen organizations like yours. You’ll hear share the story behind each dashboard so that you can learn about each dashboard’s audience and goals. For example, some of the dashboards were designed to track progress towards goals. Other dashboards were designed to help organizations compare their different program areas. You can decide which elements of each dashboard would be most applicable to your own work.

Then, you’ll design a few static dashboards in Excel. You’ll create sparklines and uncover some of Excel’s best kept secrets, like Conditional Formatting. These dashboards will live inside of Excel and get shared with stakeholders as PDFs through email or as printed handouts during meetings. Static dashboards are a great fit for non-technical audiences who only have time to skim a one-page email attachment.

Finally, you’ll design an interactive dashboard in Excel. You’ll turn your regular table into an Excel Table; you’ll tabulate your dataset with pivot tables; you’ll design pivot charts to showcase your key findings; and you’ll link everything together with slicers. Interactive dashboards are a great fit for technical audiences who have time to explore the data themselves.

Learning Objectives

After the one-day workshop, participants will be able to:

  • describe when static vs. interactive dashboards are most useful (e.g., for technical vs. non-technical audiences);
  • create sparklines, data bars, and heat tables;
  • adjust their dashboard to be printer- and PDF-ready to create static dashboards; and
  • insert Excel Tables, pivot tables, pivot charts, and slicers to create interactive dashboards.

Target Audience

Researchers, evaluators, and scientists who want to create monthly, quarterly, or annual dashboards inside no-code software you already have, like Excel.

Level

Intermediate/advanced.

Suggested Prerequisites

You’ll gain the most from this course if you’ve already taken two other courses from this instructor: (1) Simple Spreadsheets (to start practicing formulas and pivot tables) and (2) Great Graphs (to start practicing data visualization skills, like chart-choosing, branding, and accessibility).

Equipment Needed

A desktop/laptop computer (not a tablet or phone).

PCs preferred over Macs.

Webcams suggested for virtual classes so that staff can fully participate.

Software Programs Used

Excel is required.

Newest version preferred (called “Microsoft 365”).

Materials Included

  • 1 day of live instruction (e.g., 9-4 on-site, or 9-12:30 two days in a row virtually)
  • Access to recordings for 1 year so you can re-watch anything you’d like
  • Ebook
  • PDF’d slides
  • ~10 templates with step-by-step instructions for making static and interactive dashboards in Excel

What Participants Are Saying

“This course helped me to design a visually engaging and easy to interpret surveillance report for our State Health Department. This course offers so many great Excel tips and techniques in such an organized way. The skills I learned from this course were extremely easy to apply to an actual project. Furthermore, the course examples provided me with so many ideas and inspiration for future projects.” – Melissa Lurie, MPH, Epidemiologist/Research Scientist, New York State Department of Health

“When I started my position, I was tasked with developing a better way to track performance data across multiple programs. With this course, I was able to transform the old system into a dashboard that is efficient, makes good use of a single page, and looks great. We now get lots of compliments on our dashboard, thanks to this course.” – Shawna Rohrman, Associate Director, Cuyahoga County Office of Early Childhood

Case Studies from Past Participants

You can view participants’ before-after transformations here:

  • Creating Reports for Grant Deliverables Using Excel Dashboards by Josephine Engels, Mental Health America of Greater Houston
  • Better Storytelling with the Same Data: Upgrade that Board Packet! by Kristen Summers, Saint Luke’s Foundation

Powerful Presentations

How to Design and Deliver Presentations for Maximum Impact

Do you need to give presentations, either in-person or online? You might need to design slides for public health conferences. Or, you might need to give updates at your staff meetings.

In this class, you’ll learn how to avoid Death by PowerPoint–those slides with Text Walls, grainy images, and run-on content. Our audiences are busier than ever, and they’re relying on us to communicate our data clearly and concisely.

You’ll gain presentation best practices and practical how-to’s in PowerPoint.

First, in the Slidedecks vs. Slidedocs module, you’ll learn the five graphic design features that make presentations stand out from reports. You’ll see examples of slidedecks and slidedocs from real CDC projects, and we’ll pause to make sure you know whether you need slidedecks and/or slidedocs for your own projects.

Second, in the Message module, you’ll design a Visual Framework to help organize your presentation into manageable chunks of information. You’ll also write the takeaway tweets for your presentation in advance to make sure it’s concise and actionable.

Third, in the Design module, you’ll swap out your bullet points and bar charts for a variety of visuals. You’ll receive our Chart Chooser and our checklist of 15 Ideas for Visuals, and we’ll practice adding visuals to some of your real slides.

Fourth, in the Delivery module, you’ll learn how to storyboard you slides, which is a technique for breaking up dense data over multiple slides and explaining it piecemeal to our non-technical audiences. You’ll also learn about public speaking skills, body language, and tech set-up for virtual presentations.

Learning Objectives

After the one-day workshop, participants will be able to:

  • name five characteristics that should differentiate slidedocs (handouts made in PowerPoint) from slidedecks (presentation slides made in PowerPoint);
  • narrow down a presentation’s content to just 3-5 “buckets” of information;
  • draft a Visual Framework (a diagram) that shows how those 3-5 buckets are related (e.g., a venn diagram, step-by-step process, or repeating cycle);
  • write a 1-2 sentence “takeaway tweet” that summarizes the main message from the presentation;
  • re-design one text-heavy slide so that it includes accessible, skimmable visuals; and
  • storyboard one graph (break up the graph over multiple slides to match your speaking points and keep the audience engaged).

Target Audience

Researchers, evaluators, and scientists who are preparing their own slides/handouts for upcoming presentations.

Or, graphic designers/communications staff and admin staff who are preparing slides/handouts that their supervisors will be presenting.

Level

Intermediate/advanced.

This class is designed for staff who are already giving presentations (informal staff meetings, or formal conference presentations) and want to take their slides and public speaking skills to the next level.

In other words, you’ll gain the most from this session if you can bring your own draft slides to work on. It’ll be harder to participate if you don’t have any slides or upcoming presentations to work on during the hands-on portions.

Suggested Prerequisites

This course is about presentations, slide design, and public speaking skills. It’s not a data visualization course.

We suggest that you complete a half-day or full-day data visualization class first (like Great Graphs). Then, those well-designed graphs and maps can go into the presentations you’ll design in this course.

Equipment Needed

A desktop/laptop computer (not a tablet or phone).

PCs preferred over Macs.

Webcams suggested for virtual classes so that staff can fully participate.

Software Programs Used

You’ll learn both presentation best practices and PowerPoint how-to’s.

Materials Included

  • 1 day of live instruction (e.g., 9-4 on-site, or 9-12:30 two days in a row virtually)
  • Access to recordings for 1 year so you can re-watch anything you’d like
  • Ebook
  • PDF’d slides

What Participants Are Saying

“Not only have my presentation skills and setup improved, but so have my slides. There are so many great tips and tricks I could highlight, but I will keep it to my three favorites: color coding, increasing readability, and storyboarding. The best part is, they don’t take that much extra time! These are simple changes that take your slidedecks to a new level and allow you to really impress your audience.” – Kelsey Waterson, Evaluator, Centerstone Research Institute

“A client asked me to report the results at their meeting and I used so many of your suggestions in the slidedeck, it was the most impressive PowerPoint I have ever made. But as the meeting progressed, they were running out of time, [but] luckily, I had also created a slidedoc and was able to share that document. I have never been so grateful that I had signed up for your class!” – Kristin Wright

Case Studies from Past Participants

You can view participants’ before-after transformations here:

  • A Tip, a Trick, and a Thing to Try in Your Next Presentation by Elizabeth Dove, University of Montana
  • Creating a Powerful Presentation: 3 Easy Changes to Revamp Your PowerPoint by Kelsey Watterson, Centerstone Research Institute

Learn More

If you’d like to explore private training options, you can learn more here.

Smaller teams may prefer group rates for online courses.

Written by cplysy · Categorized: depictdatastudio

Aug 13 2024

Unlocking Creativity: Simple Steps for Non-Designers to Build Powerful Visual Frameworks

by guest author Kate Hall

Creating a Customer Service Visual Framework

I present a lot and have given customer service presentations in different forms and fashions for over 15 years. I usually get compliments on my presentations, but I wanted to make sure the information I was presenting was sticking with people. I needed to refresh a customer service presentation and decided to use it as an opportunity to apply the lessons from Powerful Presentations I was learning.

I had my framework in my head, but I was skeptical that with my skill level I could create something useful and decent to look at.  I am a librarian, not a graphic designer.

Kate Hall's visual frameworks, before and after images

Begin at the Very Beginning…..It’s a Very Good Place to Start

Despite my doubts, I began.  Focusing on my outline, I had 5 areas I wanted to touch on.  I matched icons to each and then thought about what I could construct to bring them all together.  I realized that the Center Humanity portion was a target with four sections.  So that is where I started. 

Be Literal

I decided to be very literal and created a circle and wrote center humanity and put it in the center of the target icon.

This was the central point I wanted people listening me to take away.  That each person they interact with is another human being and we should remember that first and foremost in every customer service interaction.

Combine the Elements

I then put one section near each of the quadrants on the target and added the wording below.  I gave each its own color so that in my slide deck each would have a separate color to help tie people’s brains to that section. 

At this point, I had done nothing too hard, downloaded a few icons, recolored them, and added wording.  I could have stopped here and I think it would have been ok.

Pause for Reflection

But I chose to get some feedback to see if I could make it better.

At this point I paused and brought it to Office Hours for suggestions. 

Shout out to all the fabulous people who shared ideas with me and helped make this visual framework more meaningful for my presentation.

Tweak for More Impact

I received lots of great ideas and my head was spinning with all the different ways I could possibly update my visual to resonate more with my audience.  I decided to start by making the target look more like a target while keeping the center humanity in the center. 

Add More Visual Cues

I wanted to make the four other sections clearer and tie things together. I took a duplicate of the target icon and recolored it and then used the crop tool to shrink it to only one quadrant.

This is what it looked like when I was finished. 

Rinse & Repeat

I then did the same for Green, Red, and Purple.

Four Quadrants

This is what it looked like when I was finished with all the quadrants. 

I was liking where it was going and thought this would stick in people’s heads better than the original. 

Keep Centering Humanity

I was hooked on keeping the circle and plopped it on top of all the different graphics I had just created. 

This would be an easy graphic to chunk and use in my slide decks and I felt like I was on the right track.

Adding Icons

I changed some of the icons after thinking through what I was trying to convey and added them by each section. 

I was getting closer, but it still didn’t feel finished to me.

Librarians Love Words

I thought I could get away with leaving the words off and just having the icons, but it looked too bare to me.  I used Word Art and after a bunch of trial and error got the words to curve at the right angle. 

It now felt complete. 

I used the Group tool to group all of the separate graphics together and saved it as an Image.

Success!

And while I thought it was pretty great, I didn’t know if it would be helpful for attendees.  But it was! 

In the feedback, one attendee wrote that they printed off the framework and put it on their desk as a reminder to them to follow the 5 steps. 

That made my day and solidified for me why having a visual framework is so helpful.  We don’t want to just give people presentations, we want what we share to stay with people and be useful. 

Kate Hall's visual frameworks, before and after images

Written by cplysy · Categorized: depictdatastudio

Aug 08 2024

Web Reports are Easier to Design than PDFs

Why are so many organizations still stuck in a PDF rut?

I’ve been blogging since around 2008. For context, I started on WordPress well before I had my own business, years before I started drawing comics, and even before I really started getting into data visualization design. My first blog posts were about technology, data collection, and sociology.

In the early days, starting a blog was just so easy. And it’s even easier now.

But even though writing and sharing on the web is so simple, most organizations are still so committed to the idea that they have to share their reports first and foremost with a PDF.

It’s a habit.

And it’s time to break that habit.

Officially Launching my Web Report Design Agency

For years I’ve had this idea. What if instead of creating a report in Word and sharing via PDF, we developed a report like you would develop a blog? But I didn’t really do anything about the idea, it just kind of sat there in my head.

Then last year I decided to take some action. I shared a little bit about what I was thinking here on this blog, then found a couple of early partners. I let them know it was a concept, and that I would be making things up as I go.

Now, about a year later, I have successfully created a handful of reports and dashboards using WordPress. Not only did both of my early partners appreciate their reports, but both came back with follow-up projects. They also both referred my services to others!

For a test run, I could not be more happy with the results.

3 Early Lessons Learned from ReportPress

So I’m still early on with this experiment, but I have learned a few really important lessons.

1. Web Reports are Easier to Design than PDFs

I know how to use Word & PowerPoint. I know how to use Adobe InDesign. I know how to use Canva. I have designed reports professionally using all of these tools.

Designing reports with WordPress is easier.

WordPress makes it really easy to collaborate with multiple report authors. Because it’s web, section length doesn’t matter as much. You can tweak full sections at the last minute without breaking anything. It’s easier to illustrate. It was almost surprising to me how easy it was to design the reports as we went.

2. Web Reports are Far More Engaging than PowerBI & Tableau Dashboards

A lot of people have the wrong idea when they start creating dashboards. They think that it will make their data more engaging. But that’s not really true.

Dashboard tools let you share a lot of data in a smaller amount of space. They allow for greater access to the kind of information that usually gets buried inside of SQL databases or lost within collections of Excel spreadsheets. But increasing access does not make data more engaging.

For data to be engaging, you need to build in story or pair it with narrative. It is so much easier and more effective to do that with a blog than it is to do that with a traditional dashboard. With a Web Report, you can still offer interactivity, but you can also take a narrative first approach. Designing your reports more like interactive NY Times stories.

3. Living Reports and Learning Hubs are Possible

One of my latest projects involves building a learning hub. Instead of building a one off report, we’re experimenting with using the blog capabilities to create an ongoing “evaluation journal.” The biggest challenge this poses is not technical, but process.

The idea is to post information as you go, instead of compiling it over time for a later release. This means changing hard set habits, but it creates opportunities. So much interesting back and forth happens in email these days. That means it’s not stored in an easily archivable/date stamped format. But with a blog, that archivable, categorizable, and updatable format is the default.

Testimonials from Summer & Nina

Want to hear what my partners had to say about this work?

“Having worked with Chris on multiple projects, I’m especially impressed with how he can create a visual “feel” that really matches the client’s and project’s needs and style. Whether the work highlights a lot of quantitative data through clear, attractive charts and such, or focuses more on qualitative data and visuals to tell a story, Chris creates inviting, engaging, interactive reports that our clients are uniformly thrilled with.”

Summer Wood, Co-Director, Ampersand LLC

“ReportPress is a game changer for our deliverables. We worked with Chris to turn a static report into an interactive website that was branded for the client, visually compelling, and centered user-experience. Rather than scroll through a lengthy report, users can easily navigate to what’s most important to them. I highly recommend working with Chris to transform data products into something useful and engaging. Plus, Chris is awesome to work with!”

Nina Sabarre, Founder + CEO of Intention 2 Impact 

Interested in working with me to create your own Web Report?

Check out my new website at ReportPress.net.

Or you can simply get in touch for a free consultation.

Written by cplysy · Categorized: freshspectrum

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