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Tips for Designers To Tackle Layoffs 

The Layoff Season…

SAP Lab Laid off 300 employees. Ericsson to fire 8500 people. Headlines like these have become very common these days. Over 340 organizations have laid off more than 1.10 lakh people so far across the world. Not only humans but even robots were fired by Google recently. Meta, Amazon, Twitter, Zoom, and Microsoft are some of the major companies to join the layoff bandwagon. These big tech companies have large teams with multiple people with the same skill set. Over the past few weeks, dozens of them have frozen hiring and made significant cutbacks to eliminate redundant positions in departments like HR, marketing, and design. This has led to high competition for jobs in these areas and skill sets and a decrease in job opportunities.

The value of a designer is not always acknowledged, especially in these times of economic uncertainty where cost-cutting becomes a priority. This has also resulted in a cut in the budget for design departments, which leaves designers with fewer employment options. The assumption that design is a luxury rather than a necessity also hinders people from appreciating the worth of designers. This article discusses some tips for designers to tackle layoffs and AI-based solutions that can assist them to stay relevant in UI/UX design.

Automation and technology advancements have led to an increase in the use of design software and tools, making it possible for non-designers to create designs and perform tasks that human designers previously did. This has led to a decrease in the need for human designers in specific industries such as graphic design and website design, where the use of templates and pre-designed elements has become more prevalent.

Who benefits during the recession?

Contract or Freelance Designers

Companies may have less money to spend on design work, which can lead to fewer opportunities for designers. However, designers who are willing to work on a contract or freelance basis may still be able to find jobs, as companies may look to save money by hiring contractors or freelancers rather than full-time employees.

Additionally, designers with a diverse set of skills and the ability to adapt to changing market conditions may be more likely to find work during a recession.

User Experience Designers & Researchers 

UX designers and researchers may still be able to find work, as companies may be looking to improve their online presence and user experience to stay competitive which is why improving their digital products and services may become their key focus area. This can lead to an increase in demand for UX designers and researchers.

Business leaders may also cut costs by streamlining their products and services during these tough times, which can increase demand for user research to understand customer needs and preferences.

It’s crucial to remember that the job market is extremely dynamic and subject to rapid change during a recession, making it challenging to forecast how the demand for designers will change.

Essential Product Companies

Companies that build business-essential products may see an increase in demand, as companies and organizations look to cut costs by investing in more efficient and cost-effective products. These types of products may include items such as software, hardware, and equipment that help companies streamline operations and improve productivity. Additionally, companies that specialize in cost-cutting solutions, such as supply chain optimization or cost-saving consulting, may also see an uptick in business during a recession. It’s important to note that not all product-based companies will benefit during a recession, it will depend on the type of product they produce and the industry they operate in.

How to stay relevant in designing amidst this economic uncertainty?

# Focussing on Soft Skills

While technical expertise is crucial, employers don’t hire only people who possess those skills. The workforce continues to place a high priority on soft skills, also known as employability or transferable skills, which are frequently influenced more by personality than by education or training. The soft skills that may be most important in an uncertain job market for 2023 and beyond, include:

1. Critical thinking skills

Critical thinking involves being able to think creatively and strategically, identify problems, and come up with innovative solutions. These skills are highly transferable across different industries and roles, making them an asset for any team.

2. Communication skills

Effective communication helps in building positive relationships, resolving conflicts, and promoting understanding. Employers value individuals with strong communication skills as they can work effectively with others, and can represent the company positively. It involves both verbal and written communication, and the ability to listen actively.

3. Mental Flexibility

Mental flexibility, also known as cognitive flexibility, is the ability to adapt to new situations, to think outside the box, and consider different perspectives. Employers value individuals with this type of cognitive ability that allows people to adjust their thinking and behavior to changing circumstances. 

4. Teamwork Ability

Teamwork is important in any profession, regardless of the industry or role. Employers value individuals with strong teamwork skills as they can work effectively with others and can contribute to the success of the team and the organization. Teamwork ability is a key skill for achieving common goals, fostering creativity, and promoting a positive work environment.

5. Self Leadership

Employers value individuals with strong self-leadership skills as it involves setting goals, making plans and taking action to achieve those goals, and being self-motivated, self-disciplined, and accountable for one’s own actions.

# Learning AI-based Tools to stay competitive

According to the Global AI Survey, three in four businesses (75%) are either exploring or implementing AI and are increasingly recognizing AI’s potential to transform their operations and create new business opportunities. The survey also revealed that the adoption of AI is still in its early stages, with many businesses facing challenges such as a lack of skilled talent to use these tools, difficulty integrating AI with existing systems, and concerns about data privacy and security.

If there’s one thing that can give designers a competitive edge, it is the use of AI generative tools. AI generative tools are designed to assist designers in creating new designs, patterns, and layouts using machine learning algorithms. These tools can generate a wide range of options based on a set of input parameters, allowing designers to quickly explore different possibilities and find new inspiration.

1. Natural Language Generation Tools (NLG)

NLG tools use algorithms to generate text based on predefined rules or templates. These tools are commonly used for report generation, news article writing, and chatbot interactions. For example GPT-3, Wordsmith, Quill, Articoolo, Textio, etc.

2. Content Ideation Tools

These tools use AI to generate ideas for content topics based on keyword analysis, social media trends, and other data sources. They can help the sales and marketing team identify new topics and angles to explore. For example BuzzSumo, SEMrush, ContentIdeator, Clearscope, etc.

3. Video and Image Generation Tools

There are various AI tools available for image and video generation, which use deep learning algorithms and computer vision techniques to create realistic and engaging visual content—for example Midjourney, DALL-E, Adobe Sensei, Lumen5, etc.

4. Music and Sound Generation Tools

AI can analyze existing music to create new compositions or generate realistic sound effects for video and gaming applications. For example Amper Music, AIVA, Jukedeck, etc.

The Road Ahead:

It’s important to note that while these tools can save time and resources, they also have limitations. They may lack the creativity and nuance that comes with human-generated content, and there is a risk of producing low-quality or biased content if the data inputs or algorithms used are flawed. So a designer who is familiar with these tools will have a better understanding of how to work with them and may be more in demand by companies and clients looking to integrate AI into their design processes. Embrace these opportunities and be open to new ways of thinking.

Disclaimer: I am not an economist. Everything mentioned in this article is supported by extensive research and is not my personal view. I hope this article gives you some clarity and confidence heading into these uncertain economic times. 

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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Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

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