Five tools that turn a simulation into a decision

Web appWebsiteLogo

https://www.popsim.org/tools
The PopSim tools hub scrolling inside a browser window, with cards for the cost calculator, the causal loop diagrams and the other tools

Cancer Control PopSim is a research program at one of the twenty-five CDC prevention research centers in the country, working out how to get more people screened for colorectal cancer. Its findings are simulations and system maps: true, useful, and unreadable as a PDF.

The audience is a clinic director or a state health official with a budget decision to make this quarter. So the research had to become something they can put their own numbers into and get an answer from, and then send that exact answer to a board. Research that has to survive a budget meeting is common across these university projects.

RoleDesign and build
Behind it1,455 costed scenarios

The shelf

Five tools, numbered, each with a picture of itself

The hub is the only page that shows the whole set at once, every tool numbered with a thumbnail of what it actually looks like and a sentence on what it answers. A researcher arriving from a citation has to work out which of the five fits their question before opening any of them, and a list of names will not tell them.

The tools hub, numbered cards for the cost calculator, the causal loops, menthol modeling and CRC impact modeling, each with a thumbnail and a View tool button

Side by side

Two futures, and the difference in dollars

Set up what you do now in one column and what you're considering in the other: the intervention, how many people finish a colonoscopy, how many return the home test. The answer comes back as cost per person for each, the gap between them, and a sentence that says which is cheaper and by how much.

The costing calculator with the comparison scenario at 100% test completion, averaging $150,676 against $151,429, a 0.5% increase

Everyone returns the test: $753 more per person

Step by step

Four steps, and nothing asked twice

The other calculator walks through its questions in order: the costs of each test, who pays, what outreach costs, which outcome you care about. Each step opens the next one and the sidebar tracks where you are. At the end every step is ticked, the answer is a table, and one button copies a link that reopens this exact result for somebody else.

The calculator's final results: all four steps ticked, a copy link to this results page button, and a table of cases averted by completion rate

The system

Five maps of why screening stalls

Research teams draw causal loops to show how clinic priorities, funding and staffing pull on each other. Here each one is a page you can zoom and drag, with a narrated introduction to the notation first, because a diagram this dense is useless to somebody who hasn't been taught to read one.

The causal loops index: a How to read these diagrams video above cards for diagram one and diagram two, each showing its map

Reading one

Walked through a few steps at a time

A map with sixty arrows on it tells a newcomer nothing. So each diagram is walked through in steps: a question on the left, the part of the map it refers to lit up on the right, and the published studies behind each claim listed underneath with their DOIs.

Diagram 1.2 with its question, what impacts how open a clinic is to a range of possible interventions, beside the highlighted section of the causal loop map

The method travels

The same diagrams, pointed at menthol bans

Four more causal loops on a different subject entirely: why menthol bans matter, what drives retailer compliance, how the tobacco industry resists them, and what happens once one is enacted. Same notation, same walkthrough, no new interface. A method is only worth building once if the second subject costs almost nothing to add.

The menthol cigarette ban diagrams page, two illustrated diagram cards headed Why menthol bans matter for public health and What drives retailer compliance with menthol bans

The fifth tool

A model with its assumptions attached

The impact model gets a page that introduces it, one launch button, and a set of questions answered before anybody asks them. Handing a health official a simulation without telling them what it assumes is how a tool ends up used wrong and then blamed for the answer.

The CRC impact model page, its full title above a Launch tool button, a paragraph on what the model evaluates, and the start of its FAQs

Under the hood

The answer is already worked out

The calculator doesn't run a simulation while somebody waits. It reads 1,455 scenarios the team costed in advance, so the result appears as fast as the question is finished.

It leaves with you

Results export as a spreadsheet or a PDF, charts and settings included, for the meeting where somebody has to defend the number.

176 references, filterable

The studies behind the diagrams sit under each one, searchable by number or keyword, so a reviewer can check an arrow against its evidence.

Adrial is my go-to designer for anything my business needs … which is why I have used him for three different companies over the last 20+ years.

Craig WoodCEO, Definian

Your great work deserves to look great.

Twenty-five minutes. Tell me what you're trying to do and who needs to see it, and I'll tell you what I'd build first and roughly what it costs.