The redesigned OrgIQ homepage emphasizes clarity and immediate value proposition for enterprise clients. The interface features a clean, modern layout with strategic information hierarchy that guides users through the platform's core capabilities, secure archival, AI-powered search, and compliance management. This approach replaced the previous strategy, which focused heavily on technical specifications and feature lists. The new design prioritizes user outcomes and business benefits, making the platform more accessible to decision-makers while maintaining the professional credibility required for enterprise software.

Streamlined Redesigned the authentication experience to support multiple user types, enterprise companies and MSP partners, each with distinct access requirements. I implemented a flexible login flow featuring email verification, multi-factor authentication (MFA), and SSO integration with Google and Microsoft accounts. The multi-tenant architecture allows organizations to maintain separate secure environments while providing users with convenient authentication options. Clear role-based access controls and security checkpoints ensure compliance without sacrificing usability, enabling seamless access for administrators, end-users, and partner organizations.

Designed an innovative search experience that leverages natural language processing to transform how users discover archived communications. Unlike traditional keyword-based search, the AI-powered interface understands context and intent, allowing users to query using conversational language. The design features intelligent auto-suggestions, contextual filters, and result previews that significantly reduce time-to-information. This breakthrough feature positions OrgIQ as a true intelligence platform rather than a simple archival tool.

Created comprehensive reporting dashboards that provide actionable insights into organizational communication patterns. The Activity Reports visualize communication volume, response times, and collaboration trends across teams and departments. The Sentiment Analysis Reports use AI to detect tone and emotional patterns in communications, helping organizations identify potential risks, team dynamics, and customer sentiment. Both report types feature customizable date ranges, exportable data, and intuitive visualizations that make complex data accessible to stakeholders at all levels.