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5 Things to Consider while Designing an App for Gen Z’s

4 minutes 17 seconds read

Over the last few years, mobile app consumption has skyrocketed like never before, especially amongst the new-age consumers- Generation Z (Gen Z),  the Internet Generation, whose life revolves around technology. Gen Z is the generational cohort following millennials born between 1997- 2012. They are born knowing how to pinch and swipe on touch screens. For them, experience is everything. The transition to this ‘experience economy’ has pushed businesses to focus more on the UI side of mobile apps. In the past, Zomato and Myntra had rolled out app designs based on trending themes like Diwali and IPL. Recently, Swiggy revealed a new UI a few weeks ago keeping IPL as their central theme. 

Why place high importance on CX for Gen Zs?

PwC: Future of Customer Experience

Digital customers of today, particularly older Millennials and Gen Zs are buying experiences. According to a PwC report, the Gen Z buyer is willing to pay 7% (on a scale of 25%) as a price premium for a convenient, seamless, and reliable customer experience. They place high importance on CX as a factor for buying decisions. Designing an experience that keeps users glued to the screen has become the prime goal for organizations. One of the most renowned Insurance organizations – SBI General Insurance (SBIG) collaborated with Mantra Labs to build an intuitive mobile app ecosystem for the current audience, especially Gen Zs. The company has transformed its buying journey by creating an agile, digital insurance ecosystem that is more convenient and accessible for its enormous customer base.

5 most important things to keep in mind while designing an app for Gen Z:

1. Visuals, Visuals and Visuals.

The lines between entertainment and communication are blurring as young users use more emojis, effects, and filters to express what they wish to say. These tech natives still want to communicate, but they need more and more visuals to do so. 

Gen Z lives for color, rich graphics, interactions, and animations that captivate their senses like neon gradients and mixed patterns. They love to experiment with new color combinations and unexpected partnerships in texture and hue. 

Quick videos and catchy, hyper-relevant content can get the user’s attention within the first 3 seconds. Gen Z’s and Millennials love reels and short videos where content plays an active role in keeping the users engaged. One of the most renowned Ed-tech organization–Miles Education rolled out a mobile app-Miles One with features like short clips, and educational bytes related to the user’s interest.

Visuals

2. Personalized and Conversational Messages. 

Any form of communication with the user-text messages, notifications, and emails has become more personal and conversational. The digital realm for Gen Z is vast. With a multitude of competitive mobile applications available, the application that gives personalized attention to the user wins the race. While using the app, a consumer should feel that the app is designed just for them. Also, there’s a real brand of fickleness, so keeping the messages short and crisp becomes necessary. 

Personalized Messages

3. Social, collaborative, and Competitive

Gen Zs are more comfortable socializing and collaborating in the online world rather than the offline world. An application with multiple options for sharing, inviting, and collaborating with friends and family acts as a tool for connecting and socializing. The younger generation is also highly competitive and challenging in nature. Offering a gamified experience with challenges and options to compete gives them a sense of satisfaction and an opportunity to learn from their peers.

Social, collaborative, and Competitive

4. Don’t spoon-feed. 

Gen Z lives in the digital world and technology for them has taken on a human dimension. They are well-versed with various modules and also like to explore on their own. Detailed instructions on how to use the app may act as a roadblock in giving them a great customer experience. Another challenge for capturing the young generation’s mind is their short attention span because of which they get bored very easily. What can be useful in dragging their attention is using various modern interactions to keep them engaged.

5. Give them control.

Control creates trust and trust leads to customer retention.

Giving control to users has been a part of the UI trend since the beginning of design. In fact, it is one of the Usability heuristics. With Gen Z, this trend becomes an absolute necessity. These new users are more explorative and innovative, they are open to using and discovering new applications and items. So it is crucial for them to have control while learning and discovering features. 

The digitally native consumers are very detail-oriented. Whenever users click a link to open a new page, screen, or view, they should always be able to go back to where they came from, keep informed about errors, give options to undo, and more.

Give them Control

Source: User Control and Freedom (Usability Heuristic #3)

The Road Ahead:

Gen Z consumers will hold the largest share in the consumer market within the next few years. For organizations to stay ahead in the game, the challenge would be keeping the newer audience engaged in the long term and building a UI design that is simple yet appealing. After all, a great app design would result in higher customer engagement and retention. 

About the Author:

Charishma is a UI UX designer at Mantra Labs, who believes in creating experiences that matter. She is an MBA turned designer who fell in love with the process of how design is made.

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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