ResumeCLIENT
NeuroSync
YEAR
2024 - 2025 (14 Months)
ROLE & CONTRIBUTION
Research
Product Design
STACK
INDUSTRY
AI
Automation
An AI Automation Platform that hyper-speeds your work — driving 30K+ daily active users in its first week.
Background
March 2024, I joined NeuroSync's AI Creative team as the founding senior product designer.
I established the design system, and designed the "Workflow Automation" Feature and the "Prompt Builder" Feature.
I was involved from 0-1, from researching the problem to creating the design for implementation.
There are ofcourse some admin settings and supporting features, but those are the two major problems I'll be discussing in this case study.
Key metrics post-launch week:
Task success rate
From 71% to 92%
Time on Task
From 12 min. to 5 min.
Rework / Error Rate
30% to 23%
User Satisfaction
77%
Context
But before we dig deep, what is NeuroSync
AI-driven workflow automation platform that enables users to connect apps, automate processes, and build custom workflows without coding. We launched the product after 6 months of work. After six months of development, we launched the product. While it was initially designed as a SaaS offering, we quickly pivoted to position it as an internal solution tailored for enterprise clients.
Opportunity
Enhancing workflow automation as a key growth lever
Workflow automation emerged as one of the most frequent needs across teams, yet our product lacked a dedicated experience to support it.
Users were forced to rely on basic, one-step automations or manual workarounds to handle multi-step processes—leading to friction, inefficiencies, and drop-off.
Recent studies show that businesses are actively investing in automation to reduce errors, save time, and gain a competitive advantage.
60–95%
reduction in repetitive task time can be achieved through automation.
(Deloitte)
54%
of companies expect to see full ROI from workflow automation within 12 months.
(Workato)
What we learned from our users
Through 90 survey respondents, 7 in-depth focus groups and a deep competitive audit, I uncovered several key insights.
Diverse operational needs
Our users span a wide range of industries and roles—each with unique processes to automate, from marketing and HR to finance and IT. The challenge lies in designing a system flexible enough to support both simple and complex workflows without overwhelming users.
Automation begins at the repetitive-task stage
Most users begin exploring automation to eliminate repetitive tasks like notifications, data entry, or approvals. However, they often struggle when trying to expand into multi-step, conditional workflows that require more logic or app integrations.
Users constantly revise workflows
Automation is rarely “set it and forget it.” Users frequently revisit and tweak workflows—adjusting triggers, refining conditions, and fixing failed runs. This highlights the need for a clear debugging experience, version control, and transparency into what's working and what’s not.
Competitive Audit
How might we support users across the entire automation journey—from identifying repetitive tasks to maintaining advanced workflows—while adapting to different team structures, technical skills, and operational needs?
Prompt Library
One of the key challenges users faced was that AI-generated content often didn’t match their intent, especially when prompts were vague or unclear. To solve this, we designed a Prompt Library with curated, scenario-specific prompts—covering all high frequent tasks. The prompt editor allows the users to even use AI to generate those prompts to use in their workflows.
Workflow Automation
A clean and minimal UI to generate workflows from text editing.
You can also add and edit them manually.
Rive & Jitter Animations
html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>AI SaaS Web Application</title>
<style>
body {
font-family: Arial, sans-serif;
margin: 0;
padding: 0;
background-color: #f4f4f4;
color: #333333;
line-height: 1.6;
text-align: center;
display: flex;
height: 100vh;
}
Dark & Light Theme
What I learned from this project
This project gave me hands-on experience designing for AI under real product constraints. I learned how to align cross functional teams, move fast without losing clarity, and adapt quickly when things don’t go as planned.
✅ What went well:
The collaboration features laid the groundwork for NeuroSync’s transition into an enterprise tool, attracting interest from small businesses and larger organizations alike.
Users praised the platform for its ease of use, with many highlighting the text-to-workflow feature as a game-changer for non-technical users.
️ What could be improved:
I lacked the technical knowledge at the beginning of the project which limited my solutions. I luckily landed on a very good documentation and was able to recover fast.
When i delivered the project i missed the onboarding flow, and some flows were not very clearly defined. I then created a "General Interactions" section to clearly solve this.