CerebralZip
This project focused on designing the user experience (UX) for a cutting-edge document forensics and analysis application, part of the SaaS offerings by Cerebralzip. The app enables users to analyze document metadata, detect anomalies, and ensure document integrity with intuitive workflows and visualizations. The design aimed to streamline complex forensic processes while maintaining user accessibility and clarity.
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Problem Statement
Organizations often struggle to analyze and verify document integrity efficiently due to a lack of accessible tools for forensic investigation. Existing solutions are either overly complex, requiring specialized expertise, or lack comprehensive features for effective metadata analysis and anomaly detection.
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Solution
Designing an intuitive and feature-rich document forensics application can bridge this gap by simplifying the analysis process while providing robust functionality. By focusing on user-centric design and streamlined workflows, the app will empower users to perform detailed investigations with ease, setting it apart from existing solutions like Ragflow.io.
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Design Decision
Approach:
Given the time constraints of this freelance project, I skipped the low-fidelity wireframing phase and focused directly on creating a high-fidelity prototype. This approach ensured that the design was polished and production-ready within the limited timeline.
Key Decisions:
Design Principles:
Simplicity: Focused on clean, intuitive workflows to reduce complexity.
Consistency: Ensured alignment with the design language of Cerebralzip’s other products.
Feature Prioritization:
Emphasized metadata visualization, anomaly detection, and streamlined workflows, informed by competitor analysis.
Tools Used:
Figma for prototyping and collaboration.
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High-Fidelity Mockup
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Competitive Analysis
Overview:
To understand the market and design a competitive app, I conducted a thorough analysis of Ragflow.io, one of the leading solutions in document forensics and analysis. The evaluation focused on user experience, feature set, and usability to identify strengths, weaknesses, and opportunities for improvement.
Strengths:
Comprehensive Features:
Advanced document metadata extraction and anomaly detection.
Detailed visual analytics for document trends and anomalies.
Scalability:
Handles a wide range of document types and formats.
Professional Aesthetic:
Modern and polished interface design.
Weaknesses:
Complex User Interface:
Overwhelming for new users without prior forensic expertise.
Poorly organized workflows, leading to inefficiencies in analysis.
Limited Customization:
Minimal flexibility for users to tailor features to their specific needs.
Learning Curve:
Lack of accessible onboarding or help documentation, making it difficult for non-expert users.