Qoneqt : Redesigning a Verified, AI-Web3 Social Experience

Qoneqt : Redesigning a Verified, AI-Web3 Social Experience

Transforming Qoneqt with AI-driven content, Web3 crypto gifting, and verified authentication for a safer, smarter social experience.

Transforming Qoneqt with AI-driven content, Web3 crypto gifting, and verified authentication for a safer, smarter social experience.

Product Design | B2C

Product Design | B2C

Product Designer

Product Designer

Role

CEO, Devs, Product & AI + Blockchain Crew

CEO, Devs, Product & AI + Blockchain Crew

Team

Oct 23' - Feb 24' (Agile sprints)

Oct 23' - Feb 24' (Agile sprints)

Timeline

Project in a nutshell

Project in a nutshell

My role

Led the UX revamp, integrating AI and Web3 features while ensuring seamless user interactions across web and mobile.

My role

Led the UX revamp, integrating AI and Web3 features while ensuring seamless user interactions across web and mobile.

Problem statement

Qoneqt lacked user trust, engagement, and monetization, struggling with spam, irrelevant content, and complex Web3 adoption.

Problem statement

Qoneqt lacked user trust, engagement, and monetization, struggling with spam, irrelevant content, and complex Web3 adoption.

Solution

Implemented verified authentication, AI-driven content curation, and simplified Web3 crypto gifting to enhance security and engagement.

Solution

Implemented verified authentication, AI-driven content curation, and simplified Web3 crypto gifting to enhance security and engagement.

Impact

Increased user trust (90% bot reduction), engagement (+42% AI-curated content interactions), and Web3 adoption (+25% transactions).

Impact

Increased user trust (90% bot reduction), engagement (+42% AI-curated content interactions), and Web3 adoption (+25% transactions).

Project Scope & Challenges

Project Scope & Challenges

Qoneqt aimed to differentiate itself as a verified social platform, integrating AI and Web3 features while keeping things simple and intuitive. The core challenges were:


  • Ensuring user authenticity through a verified sign-in process.

  • Fostering community engagement with groups and channels.

  • Simplifying Web3 crypto gifting for content creators.

  • Using AI for smart content curation & moderation to improve user experience and safety.

Qoneqt aimed to differentiate itself as a verified social platform, integrating AI and Web3 features while keeping things simple and intuitive. The core challenges were:


  • Ensuring user authenticity through a verified sign-in process.

  • Fostering community engagement with groups and channels.

  • Simplifying Web3 crypto gifting for content creators.

  • Using AI for smart content curation & moderation to improve user experience and safety.

Business Objectives

Business Objectives

Build trust with verified onboarding.

Increase engagement via AI-driven content personalization.

Enable monetization with Web3-powered transactions.

Drive growth through referral-based incentives.

Key insights from the business team

Key insights from the business team

Design Process

Design Process

1. User Research (Surveys & Interviews)

1. User Research (Surveys & Interviews)

To align features with user needs, we conducted:

  • Surveys to gauge expectations and pain points.

  • Interviews for deeper insights into user behavior.

To align features with user needs, we conducted:

  • Surveys to gauge expectations and pain points.

  • Interviews for deeper insights into user behavior.

Key insights:

78% preferred a verified platform for safety.

65% wanted better content curation.

50% found Web3 features complex and needed simpler interfaces.

Snippets from the interview sessions

Snippets from the interview sessions

2. User Persona Development

2. User Persona Development

We identified three primary user personas based on research insights:

Verified Student/Professional: Seeks secure networking.

Community Builder [Influencers]: Wants efficient group management tools.

Crypto Enthusiast: Looks for easy Web3 transactions.

Key user persona

Key user persona

Competitor Analysis

Competitor Analysis

Applied insights from LinkedIn (verified users), Facebook Groups (community engagement), and Web3 social networks to refine Qoneqt’s positioning. This resulted in a more engaging and trusted user experience through strategic feature enhancements.

How We Applied These Learnings:

Strengthened the verified sign-in process for security.

Enhanced AI-powered content recommendations to boost engagement.

Simplified Web3 onboarding for easier crypto gifting.

Integrated AI moderation tools to improve discussion quality.

Information Architecture

Information Architecture

Revamped the platform’s overall experience, ensuring seamless access to verified sign-in, groups, channels, refer & earn, and Web3 crypto gifting with a user-friendly structure.

Observed Results:

Users navigated core features more seamlessly, leading to increased engagement.

Improved discoverability led to fewer user drop-offs.

More active participation in groups and channels.

Web3 features saw an uptick in adoption post-redesign.

Design Approach

Design Approach

Security First

Verified sign-in using national ID and admin approval.

User-Friendly Onboarding

Clear guidance reduces friction for new users.

Web3 Simplification

Onboarding flows make crypto gifting intuitive.

Community-Centric

Groups and channels drive engagement.

AI-Powered Personalization

Smart recommendations keep content relevant

Scalability & Accessibility

Ensuring a seamless experience across devices.

Design Solution & Key Features

Design Solution & Key Features

Redesigned experience

Redesigned experience

Wireframes

Mobile interface wireframes

Mobile interface wireframes

Read more about social tokens here

Read more about social tokens here

Some desktop visuals...

UI Design System Contributions & Theme Pitch

UI Design System Contributions & Theme Pitch

  1. Contributed to the UI team in creating a scalable UI system with reusable components.

  1. Pitched and implemented Dark/Light mode for better user experience.

Project Impact

Project Impact

User & Business Metrics

  • Early adoption showed a rise in user registrations.

  • Groups and channels saw higher participation levels post-launch.

  • Web3 transactions gained traction among early adopters.

PRD Hand-off

PRD Hand-off

To ensure a smooth rollout of Qoneqt's AI-powered and Web3-integrated features, I created a structured launch checklist involving cross-functional stakeholders. This helped align support, marketing, and data teams while preparing the product for scale and impact.

My Learnings

My Learnings

  • Balancing Security & Usability: Designing strict verification without disrupting user flow was a key challenge.

  • AI-Powered Engagement Matters: Personalized feeds increased retention, proving AI-driven content discovery is crucial.

  • Web3 Needs Simplification: Users embraced crypto gifting when presented in an intuitive way.

  • Agile Methodology Works: The 6-month sprint required rapid iteration and constant cross-team collaboration.

Up next

Up next

Interested in seeing even more work?

Interested in seeing even more work?