Designing an AI-Assisted Communication Improvement Platform

Exploring how AI-generated feedback, comparative learning, and iterative practice can help users improve interviews and presentations over time.

Let's Connect

Role

Product Designer

Focus

AI-assisted communication coaching focused on iterative learning, comparative feedback, and measurable improvement.

Exploration

User flows, feedback systems, AI-assisted interface exploration, progress tracking, and interaction design

Tools

Figma, Claude, Replit, Prototyping, System Architecture

Business Goal and Requirements

Community Engagement

Encourage interaction between creators and collectors
Introduce discussion and social features to increase platform activity
Support artist discovery through feed-based engagement
Build a stronger sense of community within the marketplace ecosystem

Marketplace Transactions

Create a clear and trustworthy bidding and checkout experience
Simplify blockchain-related transaction steps for non-technical users
Improve visibility into pricing, ownership, and transaction states
Support seamless NFT purchasing and publishing flows

Creator Growth

Simplify NFT publishing for first-time and experienced creators
Reduce friction during onboarding and wallet connection
Help artists showcase and manage digital assets more effectively
Encourage repeat engagement through creator-focused workflows

Discoverability

Improve visibility of creators and NFT collections
Support browsing through categories, hashtags, and marketplace filters
Make digital assets easier to explore through feed and discovery experiences
Create scalable navigation patterns for growing marketplace content

Wallet & Security

Simplify crypto wallet onboarding and connection flows
Increase user confidence around blockchain transactions
Surface wallet information and transaction states clearly
Reduce intimidation around Web3 concepts for new users

Project Overview

Interviews and presentations can be stressful, even for highly capable individuals. Many people know what they want to say, but struggle with confidence, pressure, or simply not knowing how to improve their communication skills in a structured way.

I wanted to explore how AI could create a more supportive and iterative coaching experience, one that gives users actionable guidance, helps them understand what needs improvement, and allows them to practice repeatedly without feeling judged.

Rather than treating communication feedback as a one-time evaluation, the goal was to design an experience centered around continuous improvement, comparative learning, and confidence-building over time.

Product Vision

The product was designed as an AI-assisted communication coaching platform focused on helping users improve through structured practice, actionable feedback, and measurable progress over time.

Users can practice interview and presentation scenarios, receive AI-generated feedback across areas such as clarity, structure, confidence, and relevance, and compare multiple attempts to better understand how their communication improves over time.

Instead of treating AI as a one-time scoring tool, the experience was designed around continuous practice and reflection, giving users the ability to retry, compare responses, and gradually build stronger communication habits through guided feedback and progress tracking.

The experience also explored guided exercises tailored to specific speaking patterns such as filler word usage, pacing, and structure, helping users actively practice improvement techniques rather than simply reviewing feedback.

A strong focus was also placed on AI transparency throughout the experience. Confidence indicators, transcript highlights, and contextual feedback were introduced to help users better understand how feedback was generated and where AI was involved, creating a coaching experience that felt more understandable and trustworthy.

Designing the Experience Architecture

Since the experience was centered around continuous improvement rather than one-time feedback, a big part of the design process focused on creating clear learning loops that encouraged repeated practice, reflection, and measurable progress over time.

A lot of the UX thinking went into how users move between recording responses, reviewing feedback, comparing attempts, and applying improvements in a way that felt natural, supportive, and easy to follow across multiple sessions.

Core Experience Flow

The overall flow was designed to create a natural connection between practicing, reviewing feedback, and improving over time.

A big part of the UX thinking focused on how users move between recording responses, reviewing AI-generated insights, comparing attempts, and applying feedback in a way that feels smooth and easy to follow without breaking momentum.

The experience was also structured to make improvement feel more visible and actionable by giving users clear direction on what to work on next through guided feedback, targeted practice exercises, and repeated attempts over time.

Recording Experience Flow

The recording experience was designed to make practice sessions feel simple, focused, and easy to move through. Since users would likely repeat scenarios multiple times, the flow needed to feel lightweight and intuitive without adding unnecessary steps or distractions.

A lot of the UX thinking focused on how recording states, system feedback, and guidance were communicated so users could stay focused on practicing while still feeling supported and in control throughout each attempt.

Feedback Experience Flow

The feedback experience was designed to help users quickly understand how they performed and where they needed improvement without overwhelming them with too much information at once.

A big part of the UX thinking focused on how AI feedback was organized and presented, surfacing key communication areas such as clarity, structure, confidence, and relevance first, while supporting those insights with transcript highlights, contextual evidence, and practical guidance.

The goal was to make the experience feel less like a scoring system and more like a coaching tool by helping users understand not only what needed work, but why certain communication patterns were affecting their responses and what they could improve moving forward.

Comparison Experience Flow

The comparison experience was designed to help users see how their communication evolved across multiple attempts instead of viewing each session as separate feedback in isolation.

The flow focused on making improvements easy to recognize by showing changes across areas such as clarity, structure, confidence, and relevance while also helping users spot patterns that continued to appear in their responses over time.

Side-by-side comparisons, progress insights, and contextual feedback were introduced to create a stronger sense of progression and encourage users to keep refining their responses through repeated practice.

AI-Assisted Exploration & UX Refinement

This phase of the project focused on using AI-generated concepts as a starting point for early exploration while refining the experience through UX decisions around hierarchy, interaction flow, clarity, and usability.

Recording Experience

Exploring recording states and reducing friction during repeated practice sessions.

Reserch and Insights

Users needed more trust during transactions

Bidding, purchasing, and minting NFTs involved irreversible blockchain actions, increasing hesitation and uncertainty.

Design Response:

IFocused on transaction clarity, validation states, pricing visibility, and review steps before publishing or checkout.

Creators needed stronger visibility and discovery

Artists struggled with standing out in crowded marketplaces and wanted better ways to showcase their work and build audience engagement.

Design Response:

Introduced feed-based discovery, creator-focused layouts, hashtags, categories, and community interaction features.

Blockchain concepts created onboarding friction

Many users were interested in NFTs but felt intimidated by wallet setup, transaction terminology, and unfamiliar Web3 interactions.

Design Response:

Simplified onboarding flows, progressive disclosure, and guided wallet connection experiences.

Marketplace complexity needed simplification

NFT platforms often overwhelmed users with technical information and inconsistent navigation patterns.

Created structured workflows, scalable navigation systems, and clearer information hierarchy across marketplace experiences.

Users expected social interaction

Users were looking for more than buying and selling, they wanted interaction, discussion, and creator engagement similar to modern social platforms.

Designed feed interactions, discussion forums, and community-oriented engagement experiences.

Progressive Onboarding for Creator Identity & Discovery

The onboarding experience was designed to feel lightweight and flexible rather than forcing users through a long setup process upfront. Users could move through profile setup, interests, creator discovery, and wallet connection at their own pace, with the option to skip steps and come back later.

Wallet setup wasn’t required during onboarding and only became necessary when users wanted to place a bid, purchase an NFT, or publish a listing. This helped reduce early friction and made the platform feel more approachable for users who were new to Web3 products.

Highlights

Flexible onboarding flow
Optional wallet connection
Interest-based personalization
Creator discovery during onboarding
Reduced friction for first-time Web3 users

Personalized Social Discovery Feed

The home feed was designed as a discovery-driven social space where users could explore creators, collections, and conversations through a more personalized experience. Instead of focusing purely on marketplace activity, the feed emphasized engagement through liking, commenting, saving, and following creators.

The experience also helped artists gain visibility, grow their audience, and connect with other creators through shared interests, content interaction, and community activity.

Highlights

Personalized discovery feed
Like, comment, save, and follow interactions
Creator and community engagement
Artist visibility and creator-to-creator discovery
Interest-based content recommendations
Continuous browsing experience for exploration

NFT Publishing Workflow

The publishing experience was designed to walk creators through each step of the process in a clear and manageable way, from uploading artwork and adding details to previewing the final post before publishing.

Design Priorities

Simplify the publishing experience for creators
Improve content visibility and discoverability
Give users more flexibility and control over publishing settings
Create scalable patterns across creator workflows

Key UX Decisions

Broke the process into smaller steps to make it feel less overwhelming
Integrated categories and hashtags directly into the flow to support discoverability
Added visibility and scheduling options to give creators more flexibility
Included a preview step so users could review content before publishing

Marketplace Listing Flow

Walkthrough of the marketplace listing flow, demonstrating how creators upload artwork, configure listing details, and prepare NFTs for bidding and marketplace visibility.

Marketplace Flow

Designed a marketplace browsing experience with filtering, sorting, and category-based discovery to help users explore NFTs more efficiently.
Integrated lightweight marketplace actions directly into NFT cards, allowing users to quickly view details, save items, or add assets to cart.
Created a slide-out cart experience that let users review selected NFTs without interrupting browsing flow.
Simplified the checkout process by surfacing wallet selection, pricing, network fees, and transaction totals in a clearer and more structured layout.
Focused on reducing friction during blockchain transactions through guided review and confirmation states before purchase completion.
Designed reusable marketplace and transaction patterns that could scale consistently across purchasing and bidding workflows.

Design System & scalability

With more than 200 screens across marketplace, creator, onboarding, and community experiences, maintaining consistency became a critical part of the product. Reusable components, interaction patterns, and layout systems were created to support scalability across the platform while keeping workflows visually and functionally consistent.

Created reusable marketplace and feed components
Standardized form, modal, and navigation patterns
Designed scalable interaction and transaction states
Maintained consistency across creator and community workflows

What This Project Taught Me

This project challenged me to think beyond individual screens and design for an entire ecosystem of creator, marketplace, and community experiences. It pushed me to balance usability, scalability, and interaction design across a large and evolving platform.