Design-to-code workflow in Figma - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Key Step in Design-to-Code Workflow

Which step is essential to ensure that a Figma design translates accurately into a functional BI dashboard?

A Skipping prototype testing to save time

B Exporting design assets and defining component properties for development

C Using only default colors without checking brand guidelines

D Ignoring user feedback during design handoff

💡 Hint

Think about what helps developers build exactly what designers created.

Exporting assets and defining component properties ensures developers have the right resources and instructions to build the dashboard as designed.

🎯 Scenario

intermediate

Handling Responsive Design in Figma for BI Dashboards

You want your BI dashboard to look good on both desktop and mobile. What is the best way to prepare your Figma design for this?

A Use fixed sizes for all elements without constraints

B Design only for desktop and rely on developers to adjust for mobile

C Design only one layout and scale it down for mobile

D Create separate frames for desktop and mobile layouts with consistent components

💡 Hint

Think about how to maintain design consistency across devices.

Creating separate frames for different devices with consistent components helps ensure the dashboard adapts well and looks polished on all screens.

🔧 Formula Fix

advanced

Identifying a Common Issue in Design-to-Code Handoff

After handing off a Figma design to developers, the BI dashboard shows misaligned charts and inconsistent colors. What is the most likely cause?

A Missing or unclear design specifications and style guides in the handoff

B Developers used the exact exported assets from Figma

C Design was created using components and consistent styles

D Prototype interactions were tested before handoff

💡 Hint

Think about what helps developers maintain design consistency.

Without clear specifications and style guides, developers may guess or apply inconsistent styles, causing misalignment and color issues.

❓ visualization

advanced

Best Practice for Visualizing Data in BI Dashboards

Which visualization approach best supports the design-to-code workflow for a BI dashboard created in Figma?

A Design charts with random colors and no legends to save space

B Use complex 3D charts with many colors and no labels

C Use simple, clear charts with consistent colors and labels defined in design specs

D Create charts without considering accessibility or color contrast

💡 Hint

Think about clarity and ease of development.

Simple, clear charts with consistent colors and labels make it easier to implement and understand the dashboard, improving user experience.

❓ data_modeling

expert

Integrating Data Models with Figma Designs in BI Projects

When preparing a BI dashboard design in Figma, how should the data model considerations influence the design-to-code workflow?

A Design components to match the data model structure and include placeholders for dynamic data fields

B Design without considering data structure and add data later randomly

C Use static images for data charts without linking to data models

D Ignore data refresh rates and design only for static snapshots

💡 Hint

Think about how design and data connect in BI dashboards.

Designing components that align with the data model and include placeholders helps developers connect the design to live data efficiently and accurately.