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6 Features that Make Adobe XD the Ultimate Tool to Achieve Precision in Designing

6 minutes read

“A good first impression can work wonders” ~ J. K. Rowling.

When a user interacts with any digital product, the first thing that hooks him to an application is user interface (UI). And how well a UI is designed can shape the user experience (UX). Designers have a huge responsibility of creating a design that is simple and appealing to the users. Which is why they need a tool that speeds up their process with precision. One of the most popular amongst the designers is undoubtedly – Adobe XD the ultimate tool that has been assisting them achieve excellency in designing.

First released in 2016, Adobe XD has become the primary tool for about 40% of designers in the last few years helping them achieve speed and accuracy in UI design, prototyping, and managing design systems. In addition to being one of the leading UX design tools, Adobe Experience Design (XD) is a top-notch interface design platform with a host of capabilities that enable designers to create, share, develop, and collaborate on their designs. Adobe XD also allows designers to create prototype interactions and transitions between art-boards with ease.

Here are 6 features that make Adobe XD the ultimate tool to achieve precision in designing:

Adobe XD the Ultimate Tool
  1. Repeat Grid

With the group or element selected, click on “Repeat Grid” (⌘ r) and drag the green handles horizontally or vertically to make a grid. You will be able to hover and drag over spaces between the elements to adjust the spacing. 

All  groups within the grid are going to be automatically updated when you make a change in one group.

💡 Tip: Ungroup the grid to make changes independent to main element or group

Adobe XD the Ultimate Tool

Repeat grid can produce different results based on grid attributes while the basic unit remains the same.

  1. Components & States

Right-click on the group or element and select “Make Component” (⌘ k). Every component has a main component with various instances which you can use across the design. When changing the main component, the changes propagate to all of its instances.

Components can also have multiple states that respond to different inputs – default state, hover state and new state. 

Features of Adobe XD

Creating a component is important for designers to identify the variations of an element

Adobe XD the Ultimate Tool

By using design components, we can avoid inconsistency in our designs

By editing main components, you can instantly update style changes to all elements within that component – a handy shortcut for making quick style changes. 

  1. Libraries

Using the new Libraries panel (⇧⌘Y), you can now save colors, character styles, and components from your art-boards as document assets.  When you’re ready to share, open the library manager by clicking the share icon in the top right corner of the panel. By clicking the blue publish button in the manager, you can publish your document assets as a library to share and use as a team.

💡 Tip: Documents must be saved as cloud documents to publish a library

Libraries

Give editors of your documents access to edit the library

After publishing a library, you can continue to make changes in your XD document, and update the changes once you’re ready. 

XD will notify you when you have new updates to share. You can publish immediately or later from the Library Manager. 

Adobe XD the Ultimate Tool

You can dismiss the message, if you are not ready to share

Adobe XD the Ultimate Tool

To incorporate multiple updates at once, click the update all button.

  1. 3D Transforms

Using the property-panel, we can enable 3D transformation to simulate the 3D effect on any individual element or a group 

After enabling 3D transformations, new object controls will appear in the transform section and Gizmo at the center of the selected object.

3D Transforms

Create perspective design easily with 3D transforms

  1. Content Aware Layout

With the elements selected, create a group. Tap the switches to enable Content-Aware Layout controls. Stacks will align and distribute objects vertically or horizontally while padding will adapt background layers and preserve values. This will automatically make layout changes as your designs change.

💡 Tip:  Using layout on component saves the most amount of time

Adobe XD the Ultimate Tool

Whatever padding values you choose will be retained even if the content inside changes.

  1. Video & Lottie Playback

When designing in XD, you can now include videos and Lottie animations that will play when you preview your XD prototypes and share a link to your prototype from XD. You can use the drag-and-drop feature from your computer to place files on the artboards or you can import videos from your design system into the Creative Cloud Libraries. After it is imported, you can customize the media’s behavior, such as setting animations to loop or configuring when a video or animation will play (automatically, on tap, etc.). 

Adobe XD the Ultimate Tool

Add .json files to create real time prototypes and designs

You can also upload unique thumbnail images and trim videos to the appropriate length using basic editing tools.

Features of Adobe XD

Control the playback of videos, adjust basic video settings, and import videos.

Now that you’ve come so far

Here’s an easter egg for you. Another simple feature that’s commonly overlooked is the built-in number functionality for adjusting the opacity of elements. Either press eg. 4 for 40%, or 6 followed by 7 for 67%.

Adobe XD the Ultimate Tool

Control the transparency of any object

That’s all for now.

Hope this article helps you and you have learned something useful!

About the Author:

Unnathi is a UI/UX designer, currently working at Mantra Labs. She is passionate about research and has expertise in building digital systems that provide engaging experiences.

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Will AI Be the Future’s Definition of Sustainable Manufacturing?

Governments worldwide are implementing strict energy and emission policies to drive sustainability and efficiency in industries:

  • China’s Dual Control Policy (since 2016) enforces strict limits on energy intensity and usage to regulate industrial consumption.
  • The EU’s Fit for 55 Package mandates industries to adopt circular economy practices and cut emissions by at least 55% by 2030.
  • Japan’s Green Growth Strategy incentivizes manufacturers to implement energy-efficient technologies through targeted tax benefits.
  • India’s Perform, Achieve, and Trade (PAT) Scheme encourages energy-intensive industries to improve efficiency, rewarding those who exceed targets with tradable energy-saving certificates.

These policies reflect a global push toward sustainability, urging industries to innovate, reduce carbon footprints, and embrace energy efficiency.

What’s driving the world to impose these mandates in manufacturing?

This is because the manufacturing industry is at a crossroads. With environmental concerns mounting, the sector faces some stark realities. Annually, it generates 9.2 billion tonnes of industrial waste—enough to fill 3.7 million Olympic-sized swimming pools or cover the entire city of Manhattan in a 340-foot layer of waste. Manufacturing also consumes 54% of the world’s energy resources, roughly equal to the total energy usage of India, Japan, and Germany combined. And with the sector contributing around 25% of global greenhouse gas emissions, it outpaces emissions from all passenger vehicles worldwide.

These regulations are ambitious and necessary. But here’s the question: Can industries meet these demands without sacrificing profitability?

Yes, sustainability initiatives are not a recent phenomenon. They have traditionally been driven by the emergence of smart technologies like the Internet of Things (IoT), which laid the groundwork for more efficient and responsible manufacturing practices.

Today, most enterprises are turning to AI in manufacturing to further drive efficiencies, lower costs while staying compliant with regulations. Here’s how AI-driven manufacturing is enhancing energy efficiency, waste reduction, and sustainable supply chain practices across the manufacturing landscape.

How Does AI Help in Building a Sustainable Future for Manufacturing?

1. Energy Efficiency

Energy consumption is a major contributor to manufacturing emissions. AI-powered systems help optimize energy usage by analyzing production data, monitoring equipment performance, and identifying inefficiencies.

  • Siemens has implemented AI in its manufacturing facilities to optimize energy usage in real-time. By analyzing historical data and predicting energy demand, Siemens reduced energy consumption by 10% across its plants. 
  • In China, manufacturers are leveraging AI-driven energy management platforms to comply with the Dual Control Policy. These systems forecast energy consumption patterns and recommend adjustments to stay within mandated limits.

Impact: AI-driven energy management systems not only reduce costs but also ensure compliance with stringent energy caps, proving that sustainability and profitability can go hand in hand.

2. Waste Reduction

Manufacturing waste is a double-edged sword—it pollutes the environment and represents inefficiencies in production. AI helps manufacturers minimize waste by enhancing production accuracy and enabling circular practices like recycling and reuse.

  • Procter & Gamble (P&G) uses AI-powered vision systems to detect defects in manufacturing lines, reducing waste caused by faulty products. This not only ensures higher quality but also significantly reduces raw material usage.
  • The European Union‘s circular economy mandates have inspired manufacturers in the steel and cement industries to adopt AI-driven waste recovery systems. For example, AI algorithms are used to identify recyclable materials from production waste streams, enabling closed-loop systems. 

Impact: AI helps companies cut down on waste while complying with mandates like the EU’s Fit for 55 package, making sustainability an operational advantage.

3. Sustainable Supply Chains

Supply chains in manufacturing are vast and complex, often contributing significantly to carbon footprints. AI-powered analytics enable manufacturers to monitor and optimize supply chain operations, from sourcing raw materials to final delivery.

  • Unilever uses AI to track and reduce the carbon emissions of its suppliers. By analyzing data across the supply chain, the company ensures that partners comply with sustainability standards, reducing overall emissions.
  • In Japan, automotive manufacturers are leveraging AI for supply chain optimization. AI algorithms optimize delivery routes and load capacities, cutting fuel usage and emissions while benefiting from tax incentives under Japan’s Green Growth Strategy.

Impact: By making supply chains more efficient, AI not only reduces emissions but also builds resilience, helping manufacturers adapt to global disruptions while staying sustainable.

4. Predictive Maintenance

Industrial machinery is a significant source of emissions and waste when it operates inefficiently or breaks down. AI-driven predictive maintenance ensures that equipment is operating at peak performance, reducing energy consumption and downtime.

  • General Electric (GE) uses AI-powered sensors to monitor the health of manufacturing equipment. These systems predict failures before they happen, allowing timely maintenance and reducing energy waste.
  • AI-enabled predictive tools are also being adopted under India’s PAT scheme, where energy-intensive industries leverage real-time equipment monitoring to enhance efficiency. (Source)

Impact: Predictive maintenance not only extends the lifespan of machinery but also ensures that energy-intensive equipment operates within sustainable parameters.

The Road Ahead

AI is no longer just a tool—it’s a critical partner in achieving sustainability. By addressing challenges in energy usage, waste management, and supply chain optimization, AI helps manufacturers not just comply with global mandates but thrive in a world increasingly focused on sustainability.

As countries continue to tighten regulations and push for decarbonization, manufacturers that embrace AI stand to gain a competitive edge while contributing to a cleaner, greener future.

Mantra Labs helps manufacturers achieve sustainable outcomes—driving efficiencies across the shop floor to operational excellence, lowering costs, and enabling them to hit ESG targets. By integrating AI-driven solutions, manufacturers can turn sustainability challenges into opportunities for innovation and growth, building a more resilient and responsible industry for the future.

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