AI-Powered Market Intelligence
Mobile-First Enterprise App Design
Mobile UX/UI Design
In Progress
Conversational AI, Real-time Alerts, Streaming UX
Product Manager & Designer
Designing the future of market research—a mobile application delivering conversational AI search, source-grounded summaries, and personalized intelligence for enterprise users.
Overview
The Challenge
Enterprise users need rapid, trustworthy, and actionable insights from dense financial content like earnings calls, filings, and research while on the move, but traditional apps struggle to provide meaningful summaries on small screens.
Our Solution
A mobile-first application combining the power of an AI assistant with the rigor of enterprise data, offering source-grounded summaries and natural conversational search that builds trust over time.
Core Objectives
Design an intuitive conversational AI search experience
Ensure absolute trust via source-grounded outputs
Deliver personalized, real-time intelligence feeds
Optimize rendering of dense financial data for mobile
Enforce enterprise-grade security and compliance
Strategic Design Rationale
Translating high-density desktop financial data into a low-friction, high-trust mobile experience.
Conversational AI vs. Traditional Filters
Drastically reduces time-to-insight. Users can simply ask natural language questions rather than navigating complex menus or sifting through search results on a small screen.
Strict Source-Grounded Outputs
Prioritizes trust mechanisms over raw AI generation. Every response includes inline citations and source previews, allowing users to instantly verify the exact earnings call or filing.
Proactive 'Smart Event' Alerts
Moves from a 'pull' to a 'push' model using OS-native features. Synthesized, actionable insights are pushed to the lock screen the moment market-moving events occur.
Automated Audio & Text Briefings
Personalized daily briefings can be consumed as short text snippets or generated audio, enabling hands-free consumption during commutes.
Streaming Latency & Native Patterns
Streaming token rendering combined with platform-native components ensures the AI generation feels incredibly fast and premium on both iOS and Android.
Interactive Prototypes
Explore the interactive prototypes built for this platform — each designed to follow native design guidelines for their target platform.
iOS Prototype
Built with iOS 26 Human Interface Guidelines — frosted glass vibrancy, SF system colors, and native tab bar navigation.
Android Prototype
Built with Material You (Android 16) — dynamic color, pill navigation, rounded containers, and Material Symbols.
Core App Functionality
A powerful suite of tools designed to provide actionable intelligence at your fingertips, anytime, anywhere.
Conversational AI Search
Ask complex market questions in natural language and receive detailed, source-grounded answers instantly.
UX & Platform Patterns
iOS 26 Best Practices
Leveraging large titles, native bottom sheets, context-aware toolbars, advanced haptics, and Dynamic Type support.
Android 16 Features
Incorporating Material dynamic color, predictive back navigation, modal bottom sheets, edge-to-edge layouts, and foldable layouts.
Core User Flows
AI Search & Conversational Query
AI Summary Card & Transcripts
Personalized Intelligence Feed
Company Deep Dive Dashboard
Alerts & Notification System
Design System & Trust
Native iOS & Android Architecture
Built using native iOS (SwiftUI) and Android (Jetpack Compose) frameworks to ensure rapid, highly customizable styling while sharing a core component architecture and design tokens.
Latency Strategy
Addressing AI wait times with streaming token rendering, progressive skeleton UI, and informative status indicators.
AI Interaction Patterns
Focusing on streaming responses, inline citation references, confidence indicators, and clear boundaries between AI and original source text.
Trust Mechanisms
Mandatory citation layer, source preview drawers, timestamping, and expandable reasoning to mitigate AI hallucination.
Implementation Plan
% of users making first query
Citation click-through rate
Daily Queries & Alert interactions
Weekly Active Users