Ezequiel Rodríguez — AI-Powered Product Designer
Visualine: AI-powered audience intelligence for creators and social teams
Role: Product Designer, end to end · Timeline: 2025 · MVP · Team: Founder + engineering team
Visualine is a B2B SaaS platform that turns social media comments into actionable insights, authentic engagement, and growth opportunities. It centralizes comments from YouTube, Instagram, Threads, and TikTok into one dashboard where AI detects sentiment and themes, surfaces trends, generates on-brand replies, and keeps conversations healthy — combining insight, engagement, and moderation in one experience.
The problem
Creators and social teams receive thousands of comments across YouTube, Instagram, Threads, and TikTok — but their tools bury valuable feedback under noise, chase vanity metrics, and generate generic replies that feel inauthentic. Hours go to repetitive manual replying while emerging trends slip past unseen.
Discovery & UX strategy
Defined target users — creators and social teams — and their primary goals: saving time, increasing engagement, staying authentic. Mapped the MVP journey (comment ingestion → insights → AI replies → moderation) and the key user journeys before committing to screens.
Information architecture
To avoid overwhelming users with data, I defined a clear page hierarchy — Dashboard, Unified Inbox, Analytics & Insights, AI Reply Composer, Settings — with a sitemap and desktop-first layout priorities that keep high-signal information one click away.
UX wireframes
Designed low-fidelity wireframes for 10+ core screens covering the dashboard, unified inbox, AI reply composer, insights feed, moderation, and settings — defining click paths, transitions, and empty states. Logic and hierarchy were validated before any visual design.
UI design & design system
Built the visual layer on an adapted Untitled UI foundation — extending tables, filters, dashboards, insight cards, and AI interaction states, including empty, loading, and error states. The result is a scalable UI that supports rapid iteration across data-heavy screens.
Key product flows
Designed five flows with full states, feedback, and failure handling: the Unified Inbox, AI Trend Detection, the AI Reply Assistant with human-in-the-loop approval, Moderation & Hygiene, and a Weekly Insights Digest.
Prototype & handoff
Built clickable prototypes covering the full MVP flow, then prepared annotated Figma screens, component usage notes, responsive guidelines, and interaction explanations — letting developers implement confidently with minimal back-and-forth.
Challenges & solutions
- Designing for AI without losing trust — Challenge: Avoiding black-box AI behavior and generic replies. Solution: Human-in-the-loop workflows where users review, edit, and approve all AI output.
- Managing data density — Challenge: Large volumes of comments and insights risked overwhelming users. Solution: Strong hierarchy, filters, saved views, and progressive disclosure.
- MVP constraints — Challenge: API limits, latency, and AI cost constraints. Solution: Fallback behaviors, async loading states, and copy-to-clipboard flows where auto-posting was not possible.
The outcome
MVP designed and validated end to end — clickable prototype, design system, and handoff documentation delivered. Visualine is positioned as a growth-intelligence platform, heading into pre-seed fundraising and beta onboarding.
- 10+ core screens wireframed and shipped to hi-fi
- 4 platforms unified into one inbox
- 5 product flows designed with full states
Key takeaways
- Designing AI products requires clarity, control, and transparency
- Good data UX is about hierarchy, not volume
- Human approval loops build trust in AI-assisted workflows
- Strong IA and systems thinking are essential in complex SaaS products
All work · Contact ezecrodriguez22@gmail.com