Astronaut loading animation Circular loading bar

Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(5)

Customer Journey(12)

Design(36)

Solar Industry(6)

User Experience(56)

Edtech(10)

Events(34)

HR Tech(2)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(17)

Testing(9)

Android(47)

Backend(30)

Dev Ops(7)

Enterprise Solution(27)

Technology Modernization(2)

Frontend(28)

iOS(43)

Javascript(15)

AI in Insurance(35)

Insurtech(63)

Product Innovation(49)

Solutions(19)

E-health(10)

HealthTech(22)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(132)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(17)

FinTech(50)

Banking(7)

Intelligent Automation(26)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

A Sandbox Approach in Insurance

The insurance industry has reached an evolutionary crossroad. The fast-evolving world of InsurTech mandates that insurers become digitally agile. With Fintech solutions becoming more common, a responsive approach would enhance the ability of promising insurance innovations to develop and flourish.

There are various technologies stepping into the value chain to enhance and disrupt the way insurance businesses used to function earlier. The industry should consider testing their products in a controlled environment or a ‘Sandbox’. This approach can provide certain advantages such as allowing insurers to launch unconventional products on a pilot-basis before seeking necessary approval.

A sandbox approach in insurance can be used to carve out a safe and conducive space to experiment with innovative Insurtech solutions. It is a process of experimenting on a limited scale initially, where the consequences of failure can be contained before finally being adopted; consequently not allowing regulation in being a constricting force in their innovation journey.

Sandbox approach, a global affair:

Implementation of the sandbox to test customer’s interest is now a global call. It is being implemented in most region’s financial hubs including UAE, Australia, Canada, Hong Kong, Malaysia, Singapore, Switzerland, and the UK.

The FCA (Financial Conduct Authority) the UK, the British financial regulator was the first to launch the Fintech sandbox, back in 2016. The FCA reported 90% of firms that completed testing in the sandbox are continuing towards wider market launch.

Under the FCA Cohort System used in their Sandboxes, the focus of current testing includes; Blockchain-based payment services, Reg tech propositions, general insurance, AML controls, Biometric Digital ID and know your customer (KYC) verification.

One of the most surprising aspects is the growing number of countries that have proposed the sandbox approach to remain competitive with those already on board. These include countries such as Indonesia, Israel, Russia, Taiwan and the USA.

First launch in India:

“In the recent past, new Insurance companies and Insurance intermediaries have carried out technological innovations in their products and services,”

“The authority encourages companies to develop such new technologies to add value for customers, increase efficiency, and better manage risks.”

 S C Khunita, IRDAI chairperson, was quoted as saying by the Times of India.

NITI Aayog had organised a day-long Fintech Conclave on 25th March 2019, with the objective to shape India’s continued ascendancy in Fintech. It featured representatives from across the financial ecosystem. Mr Shaktikanta Das, RBI Governor; confirmed that the RBI will come out with the necessary regulations for the sandbox in the Fintech sector within two months to ensure regulatory compliance.

IndiaFirst Life insurance company was the first to launch an insurance plan under the sandbox approach; on 12th April 2017 and got approval for the launch on 27th November 2017. The plan was called “Insurance Khata”. It was directed towards those with seasonal incomes, mostly belonging to the underserved sections of Indian society. It lets buyers pool multiple single insurance plans into an account and allow payment of premiums as per the user’s convenience.

” Use a Sandbox approach to test customer’s interest ” was one of the key takeaways of The Indian Insurance Summit & Awards 2019.

sandbox approach in insurance infographic

Eligibility Criteria for Insurers or Insurance intermediaries to apply for Sandbox in India:

A 10-member committee comprising IRDAI officials and representatives of Insurance companies and the World Bank has been set up to regulate the sandbox process. The panel has been asked to dwell on the key regulatory issues Fintech poses across the insurance value chain.

Despite recent advances, insurance remains a tough industry for innovation. However, the fast-growing interest in “Insurtech” is reflected in its popularity as a google search term since 2016.

Insurance penetration in India is only 3.69% of GDP against a global average of 6.2%; the Sandbox Approach for testing the new products can help improve these numbers. The “Sandbox Approach” offers a plethora of opportunities for the Insurance Industry to set out on a journey and expand their reach into more ecosystems than ever before.

Cancel

Knowledge thats worth delivered in your inbox

10 Analytics Tools to Guide Data-Driven Design

Analytics are essential for informing website redesigns since they offer insightful data on user behavior, website performance, and areas that may be improved. Here is a list of frequently used analytics tools to guide data-driven design that can be applied at different stages of the website redesign process. 

Analytics Tools to Guide Data-Driven Design

1. Google Analytics:

Use case scenario: Website Audit, Research, Analysis, and Technical Assessment
Usage: Find popular sites, entry/exit points, and metrics related to user engagement by analyzing traffic sources, user demographics, and behavior flow. Recognize regions of friction or pain points by understanding user journeys. Evaluate the performance of your website, taking note of conversion rates, bounce rates, and page load times.

2. Hotjar:

Use case scenario: Research, Analysis, Heat Maps, User Experience Evaluation
Usage: Use session recordings, user surveys, and heatmaps to learn more about how people interact with the website. Determine the high and low engagement regions and any usability problems, including unclear navigation or form abandonment. Utilizing behavior analysis and feedback, ascertain the intentions and preferences of users.

3. Crazy Egg:
Use case scenario: Website Audit, Research, Analysis
Usage: Like Hotjar, with Crazy Egg, you can create heatmaps, scrollmaps, and clickmaps to show how users interact with the various website elements. Determine trends, patterns, and areas of interest in user behaviour. To evaluate various design aspects and gauge their effect on user engagement and conversions, utilize A/B testing functionalities.

4. SEMrush:

Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct keyword research to identify relevant search terms and phrases related to the website’s content and industry. Analyze competitor websites to understand their SEO strategies and identify opportunities for improvement. Monitor website rankings, backlinks, and organic traffic to track the effectiveness of SEO efforts.

5. Similarweb:
Use case
scenario: Research, Website Traffic, and Demography, Competitor Analysis
Usage: By offering insights into the traffic sources, audience demographics, and engagement metrics of competitors, Similarweb facilitates website redesigns. It influences marketing tactics, SEO optimization, content development, and decision-making processes by pointing out areas for growth and providing guidance. During the research and analysis stage, use Similarweb data to benchmark against competitors and guide design decisions.

6. Moz:
Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct website audits in order to find technical SEO problems like missing meta tags, duplicate content, and broken links. Keep an eye on a website’s indexability and crawlability to make sure search engines can access and comprehend its material. To find and reject backlinks that are spammy or of poor quality, use link analysis tools.

7. Ahrefs:
Use case scenario:
Research, Analysis, SEO Optimization

Usage: Examine the backlink profiles of your rivals to find any gaps in your own backlink portfolio and possible prospects for link-building. Examine the performance of your content to find the most popular pages and subjects that appeal to your target market. Track social media activity and brand mentions to gain insight into your online reputation and presence.

8. Google Search Console:

Use case scenario: Technical Assessment, SEO Optimization
Usage: Monitor website indexing status, crawl errors, and security issues reported by Google. Submit XML sitemaps and individual URLs for indexing. Identify and fix mobile usability issues, structured data errors, and manual actions that may affect search engine visibility.

9. Adobe Analytics:
Use case scenario:
Website Audit, Research, Analysis,
Usage: Track user interactions across multiple channels and touchpoints, including websites, mobile apps, and offline interactions. Segment users based on demographics, behavior, and lifecycle stage to personalize marketing efforts and improve user experience. Utilize advanced analytics features such as path analysis, cohort analysis, and predictive analytics to uncover actionable insights.

10. Google Trends:

Use case scenario: Content Strategy, Keyword Research, User Intent Analysis
Usage: For competitor analysis, user intent analysis, and keyword research, Google Trends is used in website redesigns. It helps in content strategy, seasonal planning, SEO optimization, and strategic decision-making. It directs the production of user-centric content, increasing traffic and engagement, by spotting trends and insights.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UXR and Product Design.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot