AVericsUnity
Product/Platform: AvericsUnity
My Role: Lead Product Designer, UX Strategy
Team: Engineering Manager, Developers, Technology Manager, UX/UI Designer
Year: 2024
Overview
AvericsUnity is a unified security management system that brings together access control, video surveillance, and intrusion detection into a single platform, allowing end users to manage all their security services from one interface
While the platform provided powerful reporting capabilities, administrators experienced difficulty configuring filters required to generate accurate reports. The existing workflow was unclear and error-prone, leading to incomplete data outputs and longer task completion times.
This presented an opportunity to redesign the reporting filter experience to improve clarity, efficiency, and accuracy for administrators managing large datasets.
Structural UX Challenges -
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Unclear filter configuration workflow for generating reports
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Error-prone filter design leading to incomplete or incorrect report data
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High cognitive load when selecting multiple filter parameters
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Longer time required to complete report generation tasks
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Tedious selection of specific values from extensive lists
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Slow system response when handling large volumes of data
These issues reduced administrator confidence in the reporting system and increased the effort required to retrieve accurate operational dat
My Role
I led the redesign of the reporting filter experience to simplify how administrators configure and generate reports.
My responsibilities included:
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Analyzing the existing reporting workflow and identifying usability gaps
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Redesigning the filter configuration experience to reduce errors and improve clarity
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Structuring filter logic to better support complex data queries
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Collaborating with product and engineering to ensure technical feasibility
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Designing interactions that improved efficiency when working with large datasets
The goal was to create a more intuitive reporting workflow that allowed administrators to configure filters confidently and generate complete reports with less effort.
Impact
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66% faster time on task (3m 20s → 1m 10s)
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67% increase in task completion rate (55% → 92%)
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37% reduction in filtering drop-off (45% → 8%)
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+1.5 increase in user satisfaction (CSAT) (3.1 → 4.6)
Previous Filter Setup
Approach
Understand The Problem
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Held discovery meetings with internal stakeholders to clarify the user pain points
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Reviewed customer tickets, support logs, and real-use recordings
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Aligned with product managers prioritize impact areas
Cross-Functional Collaboration
Worked closely with:
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Product Managers to define success metrics and technical feasibility
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Engineers to understand backend filtering limitations
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Designers (UX/UI) to ideate improved flows and interaction patterns
Research Methods
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User Interviews: Conducted 5 in-depth interviews with power users
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Surveys: Sent to 50 users, 22 responses received
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Heuristic Review: Identified violations in flexibility, feedback, and efficiency
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Prototype Testing: Used mid-fidelity wireframes to validate early concepts
Solutions
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Introduce searchable multi-select dropdowns
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Added “Select All” options
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Optimize the query structure for faster backend response
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implemented pagination for quicker load.
Conclusion
The new filter design in AvericsUnity significantly improved usability, performance, and user satisfaction. This project showcased the value of user-centered design, strong cross-functional collaboration, and data-driven iteration.