Nodepay

AI-Driven Insight Platform - UI/UX

The proposal
I designed a beta version of an AI-driven insight platform that fosters high community engagement by integrating actionable insights, intuitive workflows, and seamless user interaction.

My Role
Lead UI/UX Designer -
UX research, UX flow design, User interface design, Business/ Tech requirement validation

Timeline
3 months

Tools
Figma, Figjam

Imapct

Beta launched in December 2025; official launch in February 2026.
Achieved:

Daily Active Users: >14K
Paid Users: >1K
Monthly Active Users: >110K

This demonstrates strong early adoption and engagement, reflecting the platform's value and user-driven appeal.

Challenge:

"How might we create an AI-driven platform that delivers valuable insights while fostering active community engagement and collaboration, incorporating data from markets, social channels, and pro users in the Web3 community?"

Project Brief

I redesigned the platform's IA, navigation, and user flows to enhance storytelling, streamline payment and onboarding processes, and boost user engagement and retention.

Discovery phase -
1. IA audtion and redesign

To ensure smooth site navigation, I designed an IA tailored to the users' personas.

Step1 (OG IA): I consolidated the handover screens from the previous designer, where the IA lacked structure and consistency.

Step 2 (PRD IA): I analyzed and validated the PRD, mapping the IA with actionable insights and key questions to align with user needs.

Step 3 (NEW IA): I finalized a version of the IA with three levels, featuring clear grouping of user actions: Get Insight, Explore & Engage, and Control for a streamlined and intuitive user experience.

Discovery phase -
2. Presona

The primary user group for this newly built platform consists of loyal users from v1, which helps prioritize functions aligned with their goals. Engagement features, such as daily contributions and actions like creating, answering, and voting, become crucial. Additionally, streamlining the onboarding and payment flows is a top priority to enhance user experience.

Discovery phase -
3. Navigation Design evolve with user feedback

I redesigned the navigation bar based on the IA, organizing pages and actions into meaningful categories for users.

After launching the first version, I gathered feedback from senior community members and released a second version to improve clarity and usability.

Webapp - Navigation bar

App - Navigation bar

Design phase -

How to Optimize This Flow for Retention?

The platform was designed around the core flow: Onboarding → View Insights → Contribute → Subscribe → Repeat. Starting from user flows, I created a seamless experience that encourages users to engage continuously, fostering recurring interactions and long-term platform retention.

✅ A. Simplify Onboarding

I designed a quick sign-up and sign-in process with social media authentication, offering users a fast and secure onboarding experience. To optimize the design workflow, I modularized reusable flows, such as setting up 2FA, payment, and other key processes, enhancing efficiency and streamlining collaboration for the team.

<Onboarding flow>

✅ B. Show Immediate Value on homepage or search with Signals
I designed a homepage showcasing market, social, and sentiment signals, delivering compelling insights immediately after onboarding to capture user interest and drive engagement.

<Homepage>

✅ C. Reward Contributions: Offer incentives (e.g., recognition, badges, or tokenized rewards) to motivate users to contribute regularly. These incentives appear in both the personal profile and the public profile.

<Profile>

✅ D. Subscription Benefits: Clearly communicate the value of subscribing (e.g., exclusive insights or features) to encourage conversions.

< Subscription flow chart>

Given that the subscription flow involved multiple screens and interconnected processes, I created a detailed flow chart to facilitate seamless team collaboration and alignment.

<Payment flow>

I designed a modular, reusable payment flow that accounts for both successful (happy) and error-handling (unhappy) scenarios, including some interaction design for dropdown component, ensuring a seamless and robust user experience.

E. Repeat:
Gamify Repetition: Add gamified elements like progress trackers or streaks to make the cycle feel rewarding and enjoyable.

How AI enhances Insights and brings Value to Users?

︎1. Turning Complexity into Clarity

Simplified complex data by curating the most relevant and popular signals from social media, news, and market trends, distilling thousands of data points into actionable insights.

︎2. Personalized Insights with AI-Driven Summaries for Enhanced Engagement

Personalize Insights by putting personal Signals to library. And provides AI summary increasing relevance and engagement.

︎3. AI-Powered Assistance for Crafting Valuable Sentiments

I developed an AI-driven agent that helps users refine their questions and answer choices, providing scoring as a reference to ensure their created sentiment is meaningful and impactful for both themselves and their audience. This innovation enhances user engagement and fosters more valuable interactions.