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Why Storytelling in Design is Important?

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4 minute read

You have all heard of storytelling, everyone in the design community and social media talks about it and you wonder – ‘What does it mean?’. 

Honestly even I was in the same exact confusion in the beginning. I dived into the internet and went through articles and videos to understand what all these people were saying.

Let me break down what my understanding of storytelling is.

WHAT???

Did you experience that feeling you get when you go into a meeting all excited to present your designs with josh, and get nothing?

This usually happens when the people on the other side have not really understood your design. It’s because you spoke your language and not the language they are used to. 

(Just imagine a developer coming up to you and talking in their programming slang. You’ll be clueless and confused. Things will fly off your head.)

We need to talk in a  language that our audience will understand. Storytelling is nothing but the art of conveying your message in a way everyone can understand. It is something that is a part of our daily lives and culture.

We need to build an emotional connection with our designs/ideas so our audience will respond to it in a more positive manner. People connect with emotions and for that, we need to establish trust by talking in a way they can understand.

Just like the movies, your design should tell a good story. Before we start designing we need to set a plot for our designs, create characters and start making things relatable to the real world.

WHY???

A design is easy to do but convincing people of an idea is tough (No offense). This is where storytelling comes into action. Most of us usually start designing without understanding the brand, the audience, or the idea. We are always running behind in making a good design rather than what will work for the product in the real world. 

Most designers make the mistake of making the design perfect and supporting it with tons of research. But the truth is that people can’t connect with that type of design emotionally. (The key is to bring your design to life)

We need to put the idea out in the world. The idea is always more powerful and it gets a whole new dimension when you start sharing it. People will have more ideas to the original core idea and it will keep growing. 

Let’s discuss this in an easier way. (By storytelling) 

The first thing is to start by thinking about your idea as the main plot line. Everything will revolve around this now. Like in DDLJ – the plot was that Raj & Simran loved each other but her family had already accepted another proposal for her.

Next, you start by building your characters in the design. Define your main hero and the supporting roles. Basically, find your Raj and Simran within the design and highlight them. 

Now like in every movie, we need a bad guy. Your problem statement can be the villain.

Like all good blockbuster movies, your story needs to have some masala and drama. 

(Add some dramatic train scenes) 

​​

Then start thinking of all the content as the dialogues of the movie and the graphics (imagery and illustrations) as the songs of the movie. We need to create a good balance between the songs and the dialogues.

Your subheadings and body text can be the supporting roles that make the hero stand out.

Also like all the action scenes of the movie, the CTA’s need to be there in the right place at the right time. Our users glance over the screens and in a very small time, we need to highlight our action items.

(Timing is everything)

First you yourself need to understand the story plot and characters in depth, then you can connect your audience easily to it. Audiences can forget the hero’s name but the story is what they will remember and talk about.

I have broken down the hero section of a popular insurance website into simple elements of a story. We can use this same process to talk about the entire website and further the complete concept. We need to break down the bigger element into smaller elements that should convey the same idea.

HOW???

Your story needs to be rooted, it needs a strong base. You’re selling your story, and your idea to everyone and not just a website, or an app.

So there are 2 ways to do this – like an art form or with some masala.

The first one you should take on when you have an experimental design, for example when you reimagine any traditional approach. (Also when you have a lot of time and budget).

The other way to go about it is with some masala and creating a dramatic pitch. Try to build a story that places your product/idea in a real-life setting. 

Next thing is to always practice with an audience before you go in for the final pitch. Practice your story a couple of times with your friends, family, and professional peers, and keep iterating the story by seeing their expressions, moods, and responses. Always practice with a small group. (Practice makes a man perfect😊)

You need to really understand your audience and connect with their emotions. On the first attempt you might fail but keep practicing and each time you’ll add things or remove something and you’ll get better at storytelling.  

(Also you aren’t chocolate, you can’t make everyone happy…Just Accept That!)

Just always remember your idea is the most important aspect of your story. Pick what you need to be the hero of the design, make things easily relatable and that will help your design to be memorable.

….. And then the final pitch might just be a BLOCKBUSTER!!

About the Author:

Diya is an architect turned UI/UX Designer, currently working at Mantra Labs. She values designing experiences for both physical and digital spaces.

Want to know more about designing?

Read our blog: How To Get Design Inspiration?

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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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