Web3 holds the promise of a more open, decentralized internet — a vision that both excites and challenges us every day. This article address a product vision to the obstacles facing Web3 companies and the strategies we can use to overcome them. It aim to provide insights into issues like onboarding friction, regulatory uncertainty, scalability, security, and more. It’s designed to spark thoughtful discussion and provide actionable ideas that can be apply directly to the product challenges. By breaking down each challenge into clear steps — what the problem really is, the telltale signs to watch for, how to diagnose and measure it, which KPIs to track, and the tactics for resolving it — this guide aims to engage “product reflexion” about issues. Whether you’re refining a complex decentralized finance platform or working on the next breakthrough NFT marketplace, the goal is to turn our collective hurdles into stepping stones for building better, more resilient products.
I - Types of web3 companies :
Web3 spans a diverse range of business models.
1 - Decentralized finance (defi) platforms These offer financial services on blockchain without traditional intermediaries:
-Decentralized exchange for token swaps.
-Crypto lending protocol.
-Platform for borrowing stablecoin.
Additional niches include:
-Staking platforms
-Node providers
-Real world assets (rwa)
2-Nft marketplaces: Platforms where users buy, sell, or mint non-fungible tokens (digital art, collectibles, etc.).
3 -Infrastructure providers: Companies that offer underlying blockchain infrastructure or developer tools (nodes, apis, protocols).
4 -Blockchain protocol labs: Teams responsible for core protocol development
5 -Decentralized autonomous organizations (daos) : Online communities governed by token-based voting that collectively manage resources or projects.
6 -Blockchain gaming (gamefi) Games integrating blockchain-based assets or economies, often emphasizing “play-to-earn” or true ownership of in-game items.
7 -Crypto wallets : Software or hardware solutions that allow users to manage their crypto assets and interact with dapps.
8 -Centralized exchanges (cex) Traditional crypto trading platforms operating centrally yet providing access to Web3 assets.
II - Common challenges across web3 products
**Onboarding friction **
Problem definition:
New users often struggle with a steep onboarding process that involves setting up wallets, navigating technical jargon, and understanding blockchain concepts. The process is frequently complex and poorly aligned with the intuitive flow seen in Web2 applications. As a result, a significant number of potential users abandon the platform at early stages.
Sign(s) of issues/problem:
-High drop-off rates between registration and wallet creation.
-Frequent support tickets and negative feedback related to the initial setup.
-User testing reveals confusion during onboarding.
How to diagnose:
-Analyze the conversion funnel for each onboarding step and identify where users hesitate.
-Utilize session recordings and heatmaps to pinpoint precise friction points.
-Conduct user surveys to gather qualitative insights about the onboarding experience.
Data to check:
-Funnel conversion rates (signup → wallet setup → first transaction).
-Drop-off percentage at each step of the onboarding process.
-Average time taken to complete onboarding and user satisfaction scores.
KPIs:
-Activation rate: Percentage of users completing their first transaction.
-First-week retention rate.
-Time-to-value: Duration from signup to first meaningful action.
Resolution strategy:
-Integrate Wallet-as-a-Service (WaaS) or social login options to simplify the process.
-Implement in-app tutorials or guided tours that gradually introduce blockchain concepts.
-Run continuous A/B tests to refine and optimize the onboarding flow.
Team to embark with the product team: UX/UI designers, front-end and back-end developers, data analysts, and customer support representatives.**Regulatory uncertainty **
Problem definition:
Web3 companies operate in an evolving and often unpredictable regulatory environment. This uncertainty may trigger abrupt product changes, such as sudden geoblocking or enforced kyc/aml checks. Consequently, users can experience frequent service disruptions and diminished trust.
Sign(s) of issues/problem:
-Increased customer complaints about access issues in certain regions.
-Sudden spikes in user churn following regulatory announcements.
-Persistent support queries regarding legal compliance and account verification.
How to diagnose:
-Analyze retention and engagement metrics segmented by geographical regions.
-Monitor support ticket volumes related to compliance issues.
-Engage in regular feedback loops with users to understand their regulatory concerns.
Data to check:
-Regional retention and churn rates.
-Average time for compliance updates to be deployed.
-Volume and trends of regulatory-related support tickets.
KPIs:
-Retention rate improvements in regions with recent regulatory changes.
-Time-to-deploy compliance updates.
-Reduced number of regulatory complaint tickets.
Resolution strategy:
-Collaborate with legal and compliance teams to implement smooth, user-friendly kyc/aml workflows.
-Maintain clear communication with users regarding regulatory status and upcoming changes.
-Develop contingency plans for rapid response to regulatory shifts.
Team to embark with the product team: Legal and compliance experts, front-end developers, customer support, and data analysts.Scalability and performance
Problem definition:
High network congestion and outdated code can lead to slow, expensive transactions, degrading user experience. Performance issues become particularly pronounced during peak usage times, resulting in increased transaction failures and delays. This impedes trust and discourages continuous user engagement.
Sign(s) of issues/problem:
-Noticeable increases in transaction failures during high-load periods.
-Users report elevated fees and extended processing times during peak hours.
-Performance metrics indicate degraded speed and reliability under load.
How to diagnose:
-Conduct load tests to simulate peak traffic conditions and identify bottlenecks.
-Monitor real-time performance metrics, including transaction confirmation times and API response rates.
-Gather user feedback during peak periods to contextualize quantitative data.
Data to check:
-Transaction success rates during different load periods.
-Average transaction confirmation times.
-API response time and error rate statistics.
KPIs:
-Average confirmation time (target improvements).
-Percentage of successful transactions (aim >99%).
-User satisfaction or NPS related to transaction performance.
Resolution strategy:
-Integrate layer-2 scaling solutions (e.g., Polygon, Arbitrum) to alleviate load.
-Optimize both backend code and infrastructure for efficiency.
-Continuously iterate and refine performance through periodic load testing.
Team to embark with the product team: Engineering (back-end developers, DevOps specialists), quality assurance, and data analysts.Trust and security concerns
Problem definition:
Frequent incidents of scams, hacks, and security breaches undermine user confidence in Web3 services. The lack of robust security measures can lead to irreversible financial losses and damage the platform’s reputation. Such vulnerabilities force users to question whether they can safely engage with the product.
Sign(s) of issues/problem:
-Recurring security incidents or high-profile breaches.
-A surge in security-related support tickets and user complaints.
-Low trust scores on user surveys related to product safety.
How to diagnose:
-Conduct detailed security audits and analyze incident response logs.
-Review customer support data for patterns indicative of security issues.
-Solicit direct user feedback regarding their perception of platform security.
Data to check:
-Frequency and severity of security breaches or scams.
-Time taken to patch identified vulnerabilities.
-User trust survey scores and overall NPS.
KPIs:
-Security incident rate (target: zero major breaches).
-Average resolution time for vulnerabilities.
-Improved user trust scores over time.
Resolution strategy:
-Implement real-time security features such as alerts and verification badges.
-Engage third-party audits and transparently share the results with users.
-Enhance user education on security best practices via in-app messaging and documentation.
Team to embark with the product team: Cybersecurity specialists, external audit partners, engineering, UX designers, and customer support.Decentralization vs. usability trade-offs
Problem definition:
-Striving for full decentralization often results in overly complex, unintuitive user interfaces that burden the customer.
-The inherent complexity of decentralized systems may lead to a subpar user experience that hinders mass adoption.
-This challenge forces a delicate balance between preserving decentralization and delivering ease-of-use.
Sign(s) of issues/problem:
-Low engagement and high abandonment rates on decentralized features.
-Frequent user complaints about navigation difficulties and interface complexity.
-Negative qualitative feedback on the overall usability of the product.
How to diagnose:
-Conduct usability testing on decentralized workflows.
-Compare analytics of user behavior before and after recent interface changes.
-Review qualitative data from user interviews and support feedback.
Data to check:
-Engagement metrics for decentralized components versus centralized alternatives.
-Churn rates specifically linked to usability issues.
-Feedback scores on interface satisfaction.
KPIs:
-Improved engagement (time on task, task success rate) on decentralized features.
-Reduced churn attributable to usability frustrations.
-Higher NPS related to interface improvements.
Resolution strategy:
-Develop hybrid models that retain decentralization benefits while simplifying user experience.
-Iteratively design, test, and refine intuitive dashboards and navigation.
-Deploy user research studies and A/B tests to validate improvements.
Team to embark with the product team: UX/UI designers, front-end developers, product researchers, and data analysts.Conclusion
In the dynamic world of Web3, product management demands a rigorous, data-driven approach to overcome multifaceted challenges. From addressing onboarding friction and regulatory uncertainty to ensuring scalability, security and effective community support. Success relies on a comprehensive understanding of both user needs and technical constraints. By collecting and analyzing the right data, setting precise KPIs, and collaborating with cross-functional teams, companies can transform obstacles into opportunities, paving the way for widespread adoption of Web3 technologies. This analysis, crafted for experienced product professionals, underscores that sustainable innovation in Web3 is achieved through continuous learning, strategic planning, and humility. With each measured improvement, teams can build more intuitive, secure, and resilient products — propelling the future of decentralized technology forward.
Optimize the product, empower the team, and let every strategic decision drive the future of Web3 forward.