Overview

Clarity is a data visualization platform built for teams who need to make sense of large, complex financial datasets without a data science background. Users were drowning in data but starving for insight.

The Challenge

The existing product required users to build queries from scratch—technically correct but humanly exhausting. Onboarding drop-off was 68% within the first session. Even basic financial operations required navigating multiple nested menus before any action could be taken.

Research & Discovery

I ran 22 user interviews across analysts, managers, and executives. Each group needed a completely different entry point to the same data. Three distinct mental models emerged:

Design Process

I introduced a role-based onboarding system routing users to pre-configured dashboard templates based on job function. Rather than a blank canvas, each role arrived at a contextual starting point—reducing cognitive load from the first interaction.

Key design decisions included progressive disclosure of complex financial data, a task prioritization layer surfacing urgent items, and a bulk operations system that reduced repetitive manual entry.

The Solution: Bulk Automation

The design evolved through three major iteration cycles, each informed by usability testing with 8–12 participants. The final solution centered on a Bulk Update command center—allowing financial operators to execute complex data changes across hundreds of records simultaneously.

Measurable Impact

The redesign delivered significant improvements across all key activation and retention metrics within the first 90 days of launch.

Overview

myInterview is a video-based hiring platform for asynchronous candidate screening. I owned the end-to-end redesign of the team collaboration layer—building a Roles & Permissions system that scales from small startups to enterprise hiring teams without becoming overwhelming.

The Challenge

In fast-paced recruitment, AI tools often feel like ‘black boxes’ with rigid access levels. Teams needed a way to collaborate effectively while maintaining strict data privacy and role-specific workflows.

The goal: design a flexible Roles & Permissions system that scales from small startups to enterprise-level hiring teams without becoming overwhelming.

Feature A — Intuitive Team Invitations

Streamlining the ‘Invite’ flow by allowing admins to assign roles and groups simultaneously, reducing friction in team onboarding. A recruiter can now be invited, permissioned, and placed in the right groups in a single action.

Feature B — Visual Feedback & Quick Actions

A dynamic, fluid workspace—moving candidates and sharing jobs with one click. Real-time visual feedback ensures admins always know the system state without needing to refresh or navigate away.

Feature C — Bulk Actions & Permission Management

Implementing a clean Bulk Action Bar for managing multiple users or groups at once, ensuring high efficiency for power users. Selected rows reveal a context-sensitive action bar—floating above the table to stay within the viewport.

Feature D — Granular Role Definition

A deep dive into the Permission Matrix view. I redesigned how permissions are toggled across Job, Invite, and Candidate management—providing total transparency on what each role can see and do. The column-based layout makes cross-role comparison effortless.

Measurable Impact

The Roles & Permissions redesign delivered measurable improvements in scalability, efficiency, and admin satisfaction across all enterprise customer segments.

Scaling the Library Experience for 15M+ Websites.

Elementor powers over 15 million websites. I led the redesign of the editor's contextual library system—surfacing the right assets, blocks, and settings based on where the user is in the design process.

The Labyrinth of Settings

Over 6 years, the left panel grew into a labyrinth of nested settings. Panel-related support tickets accounted for 31% of all volume.

Data-Driven Insights

A 4-week discovery sprint: 1,200 session recordings, tree testing with 340 users, 14 in-depth interviews.

From Generic to Contextual

I designed a context-aware panel that surfaces the most relevant settings based on canvas selection. Average clicks: 6.2 → 2.1.

The ‘Customize Kit’ engine allowed for real-time brand try-ons before importing.

Measurable Impact

Redesigning the contextual library system delivered clear, measurable improvements.