Every Thing About Interactive Prototyping

Interactive prototyping is the most cost-effective form of risk management available to a product team. The cost of fixing a UX problem in a prototype is measured in hours. The same fix after engineering handoff costs days. After launch, it costs weeks — plus the unmeasurable toll of lost user trust and churn.

A prototype does not need to be pixel-perfect to be useful. Even a clickable wireframe with real navigation flows, placeholder content, and working state transitions surfaces the majority of usability problems. The goal is to make the invisible visible: to turn an abstract design decision into something a real person can interact with and respond to honestly.

One of the most common prototyping mistakes is over-investing in fidelity too early. High-fidelity prototypes take longer to build and anchor users to visual details — they will give feedback on the font size rather than the information architecture if the design looks finished. Match prototype fidelity to the question you are trying to answer.

For navigation and flow questions, paper sketches or grey-box wireframes suffice. For interaction and animation questions, a medium-fidelity tool like Figma with basic transitions is ideal. For final validation before development handoff, a high-fidelity prototype with realistic content and polished interactions gives you confidence that what the engineers build will work as intended.

The prototype is a prop; the real value comes from the testing session. Give participants a scenario — a realistic task framed in their own context — rather than a step-by-step instruction. "You've just received an email about a new invoice. Show me what you'd do next" reveals far more than "click the Invoices link in the navigation".

Record sessions with screen capture and, where possible, facial expression software. Review recordings as a team rather than having a single person synthesise findings. The act of watching users together builds shared empathy and prevents the all-too-common outcome where research findings get filtered through one person's existing opinion before they reach the people who need to act on them.