The startup develops technical tools that integrate real data into design formats, enabling designers to create realistic prototypes in Figma. Their solutions facilitate the generation of data, sourcing of placeholder images, and creation of placeholder text, enhancing the efficiency of the design process.
Funding
$3.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Designers often rely on placeholder data in Figma, which can lead to inaccurate prototypes and increased design time when real content is integrated later. This disconnect between design and production content can result in unforeseen UX issues and inefficiencies in team workflows.
Solution
Data.to.design is a Figma plugin that enables designers to connect real data from various sources directly to their designs. The plugin supports data import from Google Sheets, CSV files, JSON, Airtable, Notion, and even custom APIs, allowing designers to populate their designs with actual content. By mapping data to design elements and components, designers can create more realistic prototypes, stress test designs for edge cases, and ensure consistency between design and production. The tool facilitates a more data-driven design process, reducing design time, improving research and testing accuracy, and increasing team efficiency by identifying potential issues early on.
Target Audience
Data.to.design is targeted towards product designers, UX/UI designers, and design teams who want to create more accurate and data-driven designs in Figma.
Features
- Direct connection to various data sources including Google Sheets, CSV, JSON, Airtable, and Notion
- API connectivity for integration with custom content management systems
- Data mapping feature to link data to specific layers and components in Figma
- Automated content updates to reflect changes in the data source
- Support for mapping data to component instances for consistent data population across designs
- Ability to stress test designs with different datasets to identify edge cases