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Insurtech: Expectation Vs Reality

The idea behind the implementation of technology in the Insurance sector is to make the Insurance processes much more efficient, comfortable and provide the customers with a simplified interface. In recent years when talks about Insurtech was ripe then it was all about blockchain, IoT, wearables, innovations labs and AI. But, as the things started to roll out, it doesn’t seem to be an easy road with expected results will not be visible anytime soon. The digitalization of the Insurance industry has begun with a boom but the challenges surrounding this whole new era are unlimited, and Insurers need to strike a balance between expectation and the practicalities.

The challenges of the Insurtech industry and Insurance as a service:

1. Data and more data

It is a matter of the fact that the available data for the insurers is unlimited which help them to underwrite policies, detect fraud, price the products that were otherwise not possible traditionally. Insurers are constantly gathering, incorporating data received from automobile sensors, home sensors, Amazon web services, social media channels into their business models. It is a great way to be efficient enough and provide relevant content to the insurants.

Reality: There is a widening gap between the available data and the ability of the insurers to process this data contextually and derive insights into it. The data is something that keeps changing continuously, and it needs to be processed and used quickly for the expected results. But, the truth is that insurers do not have any actionable information around this data as they lack the proper infrastructure for fast processing the datasets.

2. Automated customer service and the chatbots

The impact of AI and machine learning on InsurTech is profound, and it is most visible in the customer service department. The automated chatbots are programmed to provide an instant solution to customer queries without any delays.

Reality: Even though chatbots are being adopted by big insurance companies, but accuracy is still an issue. The more complex the chatbot is, the more problematic it becomes.  No matter how intelligent a chatbot is, it can never replace a human.  Insurers need to ensure that their bots offer a high level of data protection and are compliant with regulatory measures.   There are still customers who want to talk to the customer representative, not an automated agent. So, chatbot can never replace the human representatives it can just be another option of communication.

3. AI and cognitive automation

Data analytics and AI are a boon for the insurance industry. The power of AI backed systems help insurers to accurately price risk, manage claims value and do a lot more than only providing insurance. For example, in health insurance, the insurance product is more like a health assistant and for auto insurance using car sensors for usage-based policies. All this sounds like an insurance-perfect technology which is ready to revolutionize the insurance industry.

Reality: The technical hurdles sprout at every stage of AI implementation. AI helps insurers, but it may prohibit them to consider some factors or introduce some new precise elements. The immense intrusion of AI into the systems poses a roadblock that is the more sophisticated and accurate AI becomes the capability of humans to interpret and understand it keeps growing bleak.  It is a challenge for the state actuaries and the rate reviewers who are responsible for evaluating the vast number of risk-classifications and seeing how it influences other in the process. Rate determination for tomorrow requires a perfect balance between the insurers and the AI-driven risk pricing tools.

From the above, it can be concluded that the insurance industry is rapidly evolving introducing a new wave of innovation. But, the challenges are still persistent and to be successful insurance companies need to employ quality people with competent management and supporting technical infrastructure.

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The Essence of User-Centered Design: A Dive into Fundamental Principles

In a digital world where user experience reigns supreme, crafting designs that resonate has become a mission. Enter User-Centered Design (UCD), a philosophy placing users at the core of the creative process. In this exploration, we’ll delve into the fundamental principles of User-Centered Design and understand why they are the keystones of successful interfaces.

User-Centered Design

Introduction:

Imagine navigating a website seamlessly, effortlessly finding what you need. That experience is no accident but the result of intentional design. User-centered design (UCD) is the compass guiding designers toward creating interfaces that users not only navigate but embrace.

1. Empathy is Key:

  • Incorporate for a better approach: Start by stepping into the shoes of your users. What are their pain points? What delights them? By empathizing, designers gain insights that drive user-focused design decisions.

2. User Involvement Throughout the Design Process:

  • Real-life example or statistic: Apple’s iterative design process involves user testing at every stage. This constant involvement ensures that their products align precisely with user needs.

3. Holistic Approach to Design:

  • Visual content: Picture your design not as isolated screens but as a cohesive journey. Use diagrams to illustrate how each component fits into the larger user experience ecosystem.

4. Usability is Non-Negotiable:

  • Case studies or examples: Consider the success of Google’s homepage. Its simplicity and efficiency showcase the power of a user-centered approach, emphasizing usability.

5. Accessibility for All:

  • End with a clear call-to-action: Make your designs accessible. It’s not just a legal obligation; it’s an ethical imperative. Ensure your interfaces are usable by everyone, regardless of ability.

6. Consistency Across the Interface:

  • Formatting for readability: Consistency is not just a design principle; it’s a readability strategy. Use bullet points for clarity and short paragraphs for easy consumption.

7. Flexibility and Customization:

  • Inclusive language: Users are diverse, so should your designs be. Incorporate flexibility and customization options. This ensures your interface caters to a broad range of preferences.

Why User-Centered Design Matters:

A. Enhanced User Satisfaction:

  • Feedback mechanism: Prioritize user satisfaction. A satisfied user is an engaged user. Welcome reader input and questions to keep the conversation alive.

B. Reduced Learning Curve:

  • Clear call-to-action: Minimize frustration. Make your interfaces intuitive, reducing the learning curve. Invite users to explore with a clear call-to-action.

C. Increased Engagement and Retention:

  • Visual content: Engaging interfaces retain users. Visualize engagement with appealing images or infographics. Showcase how user-centered designs reduce bounce rates.

D. Effective Problem Solving:

  • Tangible proof: Case studies offer tangible proof. Explore how UCD’s iterative process allows for effective problem-solving. Real-world examples bring these concepts to life.

Conclusion:

In the grand tapestry of digital design, User-Centered Design is the thread weaving functionality, aesthetics, and user satisfaction into a seamless whole. By embracing these principles, designers transform mere interfaces into user-centric experiences. So, as you embark on your design journey, remember: User-centered design isn’t just a philosophy; it’s a commitment to excellence. Design with the user in mind, and success will follow.

About the Author: Mehul Chauhan is a seasoned Senior UI/UX Designer at Mantra Labs. With a deep understanding of design principles and a keen eye for detail, he brings creativity and innovation to every project he touches. When he’s not busy perfecting digital interfaces, you can find him seeking inspiration in art galleries or exploring the latest design trends across various industries.

Further Reading: Unveiling the Art of Emotional Design

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