Category
AI Analytics / Creator Tools
Role
Lead Product Designer
Deliverables
Web App, Interactive Prototypes, Brand Identity, Webflow

Translating complex analytics into interfaces creators can act on immediately

Ratio'd is a cross-platform analytics tool for content creators. It pulls data from Instagram, TikTok, YouTube, and Facebook into one place. But consolidating data isn't enough. Seeing your view count is interesting. Understanding why a video performed well, and how to replicate it, is valuable.

I designed the product from the ground up: design system, information architecture, and every feature from wireframe through interactive prototype. The core challenge was turning AI-generated analytics into direction, not just display.

A home base that surfaces insights, not just numbers

Winning Formula as scannable ingredient pills

Instead of a dense paragraph, the formula is broken into discrete pill components with a hero stat that anchors attention at the top. Recognition over recall lets creators verify their formula at a glance.

Latest post + Try This Next: specificity over vague labels

The retention sparkline communicates video health through shape alone. Loss aversion framing on retention drops motivates investigation. Try This Next replaces vague potential labels with specific tactics and estimated outcomes, reducing the perceived effort of experimenting.

One data model. Three connected surfaces. One shared visual language.

Ratio'd's algorithm detects dozens of attributes in every video and correlates them with performance. The design system uses the same conversational insight lines, color-coded badges, and slide-out panels across every surface, so the interaction patterns are transferable.

The Playbook

The Playbook answers: "What kind of content should I be making?"

Biggest Opportunity: one insight, maximum impact

Isolates the single highest-impact change as one plain-English sentence with concrete numbers. Reduces decision paralysis by answering "what should I change first?"

Winning Formula: structured reference for repeat visits

Each row is clickable, opening a slide-out detail panel. Table format chosen intentionally because this is reference material creators return to repeatedly. Tables support comparison across rows better than conversational lines.

The Post Details Page

Per-video deep dive: "Why did this specific video perform the way it did?"

Conversational insights over data tables

Each factor is presented as a plain-English sentence with an impact badge. This matches how creators naturally think, not in correlation coefficients, but in statements they can immediately understand and act on.

Attribute detail panel: depth without losing context

A clear information hierarchy: aggregate stats → trend chart → platform breakdown → matching posts. The platform breakdown shows how the same attribute performs differently across platforms. Absence of data is shown, not hidden, because it's meaningful information.

Analyze your video before posting, checked against your own winning formula

The algorithm generates a huge amount of feedback. It was all originally presented as equally-weighted text. The redesign imposed hierarchy. Scan first, read second.

Predicted retention curve: show where, explain why, suggest what

The retention curve shows creators exactly where viewers are predicted to drop off, but the graph alone isn't enough. Each drop zone is paired with an AI-generated explanation of why viewers leave at that moment and a concrete suggestion for what to change. The goal was to make every drop-off actionable, not just visible, so creators can fix problems before they publish.

Content Checklist: how does this video compare to your best work?

The Content Checklist cross-references the uploaded video against the creator's historically top-performing content, surfacing whether the new video matches the patterns that have driven results. Binary pass/fail marks let creators spot mismatches instantly.

This creates a closed feedback loop: the Playbook analyzes your best-performing content and defines your winning formula. The Predictor checks your new video against it. Both features become more valuable because the other exists.

Suggestions organized by timeline

Signal bar icons replace text priority labels. Suggestions organized by video timeline to match the creator's editing mental model. Each collapsed card shows actionable feedback directly, no expanding needed to get value.

Where Ratio'd's brand personality comes through

Analytics tools have a retention problem. These features create daily and weekly reasons to come back, and they demanded a completely different design energy.

These were also my first contributions to a live codebase. I used Claude Code to build the animations for the posting streak and weekly recap, shipping directly to production. Designing and coding the same feature gave me full control over how the interactions felt, not just how they looked.

Posting Streak

A visual record of consistency inspired by GitHub's contribution graph. The intensity scale rewards cross-posting, reinforcing Ratio'd's core value prop through visual design:

Lowest possible streak threshold (any one platform counts). Designed for encouragement, not punishment.

Weekly Recap: Spotify Wrapped, every week

A shareable carousel celebrating the creator's week. This is where the brand gets loud: iridescent gradients, bold outlined display type, and sparkle iconography replace the clean analytical UI.

  • Social-native visual language: Outlined display type and gradient backgrounds reference Instagram Stories and Spotify Wrapped, making slides feel native to the platforms creators live on
  • Each slide works as a standalone screenshot: Data large enough to read at thumbnail size, branding present but not overpowering
  • Platform-aware colour coding: Instagram purple-pink, TikTok cyan, YouTube red across all slides
  • Share-first hierarchy: The Share button is the most prominent modal action
  • 16:9 and 9:16 exports: The share target determines the format

Achievement Badges: motivation meets trust signals

Warm, hand-drawn illustration style contrasts with the precise analytics UI. Gold palette for streak badges, purple-pink for engagement milestones. For creators, they're motivational. For brands evaluating a profile, they're trust signals.One design element, two audiences.

Key Learnings

Design for interpretation, not display

Every feature translates raw data into direction. Conversational insight lines over tables. Hero stats over buried metrics. Conclusions first, evidence on demand.

Build features as systems, not screens

The Winning Formula vocabulary flows from Playbook → Dashboard → Post Details → Retention Predictor. One data model, one visual language, four surfaces.

Know when to break your own design system

The analytics UI is clean and precise. The Weekly Recap is loud and celebratory. Matching design energy to emotional context is what makes a product feel considered.

AI-augmented process as a force multiplier

10+ features in 2 months as a solo designer. Structured clarification, options-based decisions, and rapid critique cycles compressed the feedback loop without replacing design judgment.