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Problems of Customer Experience in Web3: Unmasking the Paradox of the Crypto World

Imagine standing in front of a door that leads to a world full of possibilities – a world that promises unprecedented freedom, privacy, and decentralization. But as you reach out to turn the knob, you find it’s not a knob at all. It’s a complex puzzle, requiring a nuanced understanding of sophisticated algorithms, codes, and terminologies. This is the current state of the crypto world, the Web3, where the promise of a revolutionary digital frontier is held back by poor customer experience (CX).

The world of Web3 and cryptocurrency offers a disruptive platform that challenges the traditional financial system’s very fabric. Yet, paradoxically, it struggles to provide an intuitive, user-friendly experience, crucial for mainstream adoption. This article examines the reasons behind the poor customer experience in Web3 and explores strategies to transform this landscape.

Bitcoin

Web3 has solved a lot but there’s still a lot to solve in Web3

Dilemma of Decentralization and CX

Decentralization, the cornerstone of Web3, empowers users with greater control and privacy. However, it simultaneously presents unique challenges to crafting a seamless user experience.

1. Complexity of Interaction

The inherent complexity of blockchain technology poses a significant barrier to entry for non-tech-savvy users. Even simple interactions, such as setting up a wallet or understanding a transaction’s status, can be arduous tasks.

For instance, to use a decentralized exchange (DEX) like Uniswap, users need to first understand the concept of a MetaMask wallet, gas fees, and how to connect their wallets to the DEX. This complex process often deters potential users, contributing to a sluggish adoption rate.

2. Lack of User Support

In a traditional centralized system, a customer service team is available to resolve user issues. In contrast, Web3’s decentralized nature lacks a centralized authority or support system. Users are expected to solve problems independently, often requiring extensive research and technical knowledge.

A report by The Defiant indicated that 74% of new crypto users find it challenging to navigate this landscape without adequate support.

3. Security Concerns

While Web3 enhances user privacy, it also exposes users to potential security risks. Unlike traditional banking systems, transactions on the blockchain are irreversible. If a user loses access to their wallet or falls prey to scams, there’s no centralized authority to reverse the transaction or recover the lost assets. A study revealed that about $10 billion worth of cryptocurrency was stolen in 2022.

Table: Annual Cryptocurrency Stolen (2018-2022)

YearCryptocurrency Stolen (in USD billion)
20181.7
20194.5
20203.8
20217.6
202210

The need for users to manage their own security often creates a stressful experience, further deterring mainstream adoption.

CX in Crypto world

Tracing the stolen assets is one of the biggest challenges in Web3

4. Volatility and Unpredictability

The crypto market’s volatility often results in unpredictable transaction costs, mainly due to fluctuating gas fees. This unpredictability creates an unstable environment, causing confusion and frustration among users. In 2021, the Ethereum network, one of the most popular blockchains, saw its average transaction fee spike by over 300% in just a month[^3^].

Clearly, the crypto world is entangled in a paradox. While it offers a path to a decentralized, democratic future, it struggles with a complex, unpredictable, and often stressful customer experience.

But this doesn’t mean that the situation is hopeless. With the right strategies, the community can revolutionize the customer experience in Web3.

Strategies to Improve CX in Web3

Education and Simplification

The complex nature of blockchain and cryptocurrency needs to be broken down into simpler, more accessible terms. Comprehensive educational resources, like interactive guides, explainer videos, and user-friendly blogs, can help demystify the crypto world.

Coinbase, a leading cryptocurrency exchange, is a notable example. It uses Coinbase Earn, an educational program that rewards users for learning about different cryptocurrencies1. This initiative not only educates users but also incentivizes learning, making the process enjoyable and beneficial.

Community Support and Engagement

Building robust community support systems can significantly improve CX in Web3. Forums, social media groups, and chat platforms can be invaluable resources for users to learn, share experiences, and troubleshoot problems.

Discord and Reddit communities are thriving examples of such support systems in the crypto world. They provide platforms for users to interact, exchange ideas, and assist each other, fostering a sense of community and shared purpose2.

Enhanced Security Measures

Enhancing security measures is crucial to instilling confidence in users. This could involve developing more secure wallet options, implementing multi-factor authentication, and educating users on safe practices.

“Security is not just a feature, it’s a fundamental aspect of any digital platform. In the realm of cryptocurrency, it’s a critical pillar of customer experience,” says David Schwartz, CTO at Ripple3.

Predictability and Stability

While complete stability might be unrealistic in the dynamic crypto market, efforts can be made to mitigate extreme volatility. Layer 2 solutions, like Optimism and zkSync, can help provide more predictable transaction costs by reducing dependence on gas fees4.

Wrapping Up

The crypto world’s promise of a decentralized future is currently overshadowed by poor customer experience. However, through concerted efforts in education, community support, enhanced security, and market stability, the Web3 landscape can be transformed into a more user-friendly platform.

The journey towards improving CX in Web3 is one of constant evolution, and at Mantra Labs, we’re committed to being a part of that journey. With our deep expertise in creating seamless digital experiences, we’re ready to help businesses navigate and thrive in this exciting new frontier of Web3.

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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.

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