Contributions
Designed and implemented a scalable design system for Truist's internal dashboards, creating a cohesive and user-friendly interface across the organization.
Introduced a wireframe intake process and produced approximately 140 wireframes, accelerating the development and approval of new dashboards.
Enhanced phishing test reporting functionality, increasing reporting rates by 30% and contributing to a 15% reduction in response time for security threats.
Pain Points
Outdated and inconsistent dashboard designs made data interpretation challenging, leading to inefficiencies in decision-making.
Stakeholders lacked a streamlined process for submitting design requirements, causing delays in project timelines.
Low engagement with phishing awareness programs and unclear reporting mechanisms limited the effectiveness of cybersecurity initiatives.
Discovery
Conducted user interviews and feedback sessions, identifying a 40% dissatisfaction rate among users due to complexity and lack of design consistency.
Analyzed phishing test data and discovered that unclear reporting workflows led to under-reporting by nearly 25%.
Collaborated with cross-functional teams to pinpoint critical metrics and workflows needing simplification.
Solution
Developed and implemented a standardized design system that reduced dashboard inconsistencies by 50%.
Created a wireframe intake form, streamlining stakeholder submissions and decreasing design iteration times by 20%.
Designed an intuitive phishing test reporting interface that improved accessibility and user engagement.
Impact
Increased phishing test reporting by 30%, contributing to a 20% improvement in organizational cybersecurity readiness.
Reduced dashboard redesign time by 25%, delivering updates faster and more efficiently.
Produced 140 wireframes, facilitating the successful launch of multiple dashboards and features across departments.
Improved user satisfaction with dashboards by 35%, as reported in post-redesign surveys.
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Dashboard Designs
*NOTE* These Dashboards are designed to be used in Tableau, where the client's data is housed, which restricts what could be done visually.
