Dataviz & Design Prototyping & Interaction Design What isn't tested before becomes rework later. Prototyping is the only way to know if the data will be read, understood and used, before building it. Our approach Talk to a specialist The problem prototyping solves Why prototype before building? Most rework in data projects doesn't happen because of a technical error. It happens because the navigation logic only becomes obvious once a real person tries to use it, and by then the development is already done. Prototyping with enough fidelity to test is what separates a deliverable that drives adoption from a pretty file that disappears by the second quarter. Dataviz & Design Expertise What Cluster prototypes It's not a screen. It's behavior: filtering, drill-down, hierarchy by persona. Three areas where this applies: Wireframes and navigable prototypesLow fidelity to validate flow. High fidelity to test with the people who will actually use it. Filter and interaction behaviorDrill-down, comparisons, context by selection: data interaction logic has its own rules that generic product prototyping doesn't cover. Persona-based flowsExecutive dashboard, public portal or embedded product: each format demands different structure and navigation, and prototyping defines which is which before development.