Original Compass project by Davisville LabsReviewed August 2026Goal real work, evidence, and reflectionEditorial standards →
Why this project matters
Learn by doing something real.
Find a meaningful dataset and design a truthful visual system that reveals patterns without distorting uncertainty or context. This project feels different from a school assignment because the student serves a public audience that needs to understand and act on the data, creates something visible, tests it honestly, responds to feedback, and explains the decisions behind the final result.
What you will create
Your project plan
Use these deliverables as milestones for Make Data Impossible to Ignore. Adapt the details to your interests, available time, and real-world opportunities.
01
Visual research and user brief
Research source credibility, cleaning, scale, comparison, uncertainty, visual encoding, annotation, accessibility, and narrative order. Document the needs, constraints, credible sources, and perspectives of a public audience that needs to understand and act on the data.
02
Design requirements and concept system
Turn the evidence into a focused plan for the data visualization story and design case study, including success criteria, ethical boundaries, scope, and a realistic path to completion.
03
Prototype and application set
Create the first complete version of the data visualization story and design case study. Include a data source ledger, cleaned dataset, chart exploration, visual system, final static or interactive story, accessibility notes, and methodology.
04
User critique and revision log
run comprehension tests asking users what they notice, conclude, and misunderstand, then revise misleading or weak elements Record what happened, what failed, what users or reviewers said, and which changes you made.
05
Final design case study
Publish the final data visualization story and design case study with a portfolio-ready case study showing the challenge, evidence, process, revisions, results, limits, and next version.
Make the work stronger
What separates a finished project from a meaningful one?
For Make Data Impossible to Ignore, use these checkpoints to protect the quality of the work without turning the project into a performance for admissions.
Avoid this
Starting the data visualization story and design case study before understanding a public audience that needs to understand and act on the data
Treating assumptions or internet opinions as real evidence
Choosing a scope too large to test and finish with care
Evidence that it is working
The audience and real problem are clearly defined
Research and evidence are documented
A working data visualization story and design case study was created
If you want to go further
Test the work with at least five additional people from a public audience that needs to understand and act on the data
Interview a professional connected to Information Design and compare their advice with your approach
Skills you can build
Capabilities that travel beyond this project.
Data VisualizationInformation DesignData EthicsVisual CommunicationDesign Iteration
College application value
Use the project as evidence, not decoration.
Can demonstrate initiative, curiosity, reflection, and growth through the student’s choices, response to setbacks, work with a public audience that needs to understand and act on the data, and development of Data Visualization, Information Design, and Data Ethics.
CreativityAttention to DetailEmpathyCommunicationIteration
The goal of Make Data Impossible to Ignore is not to manufacture an impressive activity. Do real work, keep evidence of the process, and reflect honestly on what changed.
Make Data Impossible to Ignore is an original Compass educational starting point designed around real work, visible evidence, feedback, and reflection. It is not an admissions guarantee.