Case
Metatable.ai | AI-Powered Backend Builder
Metatable is an AI-powered platform that helps teams turn ideas into backend apps. It generates full tech specs, builds the backend with APIs and database, and even preps prompts for frontend tools like Lovable, Bolt, or v0.
We redesigned the entire experience: simplified the flow, clarified the value, and gave the UI a cleaner, more modern look. The result? A smoother, smarter way to go from doc to deployed backend—with zero code.
/ Product Design
/ Design Systems
/ UX Audit
Task
Metatable already had a working product, but the experience felt overwhelming. The flow was unclear, the UI outdated, and the core value hidden. Our job was to fix that fast.
We focused on:
Auditing the full platform UX
Removing redundant and distracting features
Simplifying the user flow to surface core value
Redesigning the interface with a modern, minimal approach
Creating a clean design system
Delivering everything in just 2 weeks
Problem Statement
The platform was built to feel like magic — but looked and worked more like cockpit software. Users were overwhelmed by outdated visuals, unclear flows, and too many unnecessary features. The core value was hidden, and the journey often broke down before key steps were completed.
What we uncovered
🪪 Unclear Flow Logic
Users didn’t know they had to prompt the system to move forward. Key actions were missing clear triggers or feedback.
🌀 Overloaded UI
Too many features, too early. The interface pushed everything at once, making it hard to focus or understand what mattered.
🧭 Weak Onboarding Cues
There were no obvious hints or guidance through the flow — especially during crucial steps like documentation generation.
🎨 Outdated Design System
A design system existed, but lacked clarity, spacing, and visual priorities — making the interface feel dense and hard to navigate.
🚫 No Real User Testing
The team had limited resources, so we ran quick hallway tests to validate assumptions and pinpoint areas of friction
Founder Interview
To get a clear picture of how the platform actually worked, we kicked things off with a deep-dive session with the founder. He walked us through the full flow—from onboarding to backend delivery—and explained the product’s internal logic.
This helped us map out the existing system, spot areas to simplify, and finally understand the real value Metatable delivers.
Quick Testing & Flow Dissection
With limited time, we ran quick tests with two users to observe friction points. The main blocker? No one knew how to generate backend docs or where to start.
We mapped the full flow in Figma using screenshots, annotated each step with UX and UI comments, and added sticky notes with high-level design principles. Then we began trimming.
Following Jakob Nielsen’s principle of “Minimalist design”, we removed anything that didn’t support core value delivery. The goal: clarity, speed, and a product that feels as intuitive as Apple.
Visual Direction
We gathered references from modern AI tools like ChatGPT, Clay, Superlist, Strut, MyMind and Sana AI to define a new visual style: light, minimal, and human. The goal was to balance tech and magic — making the assistant feel alive, not robotic.
We redesigned everything: typography, iconography, spacing, and layout. Animated gradients added a subtle sense of motion and personality. Each element was crafted to feel universal, soft, and intuitive — not overly technical.
UI Kit
To speed up dev work and ensure consistency across the platform, we built a fresh UI Kit from scratch. We focused on essentials first: colors, typography, buttons, and inputs — just enough for developers to start implementation right away.
We reused some ready-made decisions (like elements from Untitled UI) to move faster, but every component was refined to match the new visual language: light, minimal, and scalable.
Designing for Delivery
Instead of starting with low-fidelity wireframes, we went straight into high-fidelity design. It’s how we usually work — it helps us see the real product experience from the start, and in fast-paced projects like this, it saves both time and cost.
We built the entire flow screen by screen — from login to backend deployment — ending up with 50+ production-ready designs. Every screen was carefully reviewed within the design team, validated with stakeholders, and aligned with real user feedback.
Naming layers, organizing files, thinking dev-first — that’s just standard for us.
Final Outcomes
📦 What We Delivered
– Clean UI Kit and scalable design system
– 50+ high-fidelity, ready-to-develop screens in Figma
– Annotated flows and logic behind key user journeys
💬 Instant Onboarding
We redesigned the entry point to start with chat — showing value immediately. No more complex steps or guesswork. Just type, and the product responds.
🎨 Clean, Modern Interface
We simplified the color palette, increased negative space, and used clear typography for hierarchy. The result is a calm, focused UI that feels easy to use.
⚙️ Smarter UX, Less Noise
We stripped away secondary features and restructured the flow around core tasks. The chat now guides the user, explains next steps, and confirms progress automatically.
🧠 Invisible Automation
We hid the complexity. Most technical processes now run behind the scenes — users just see results, not config options.
Impact & Takeaways
🧩 Real Teamwork
Tight deadlines and personal commitments made this project intense — but that’s where teamwork shows up. We backed each other up, worked weekends when needed, and got it done.
🧠 Rethink Early, Not Late
If something isn’t working — don’t be afraid to flip the table. It’s way easier to rebuild early than to patch later. Especially when the decisions are grounded.
🚀 A Clearer Path for Users
Now the product speaks for itself. It’s focused, guided, and delivers value from the first click — exactly what early-stage AI tools need.
🔥 We Love This Kind of Work
Fast, high-stakes, product-driven. That’s our zone. Call us when you need to move fast and make it real.