Week 3 and 4: Exploring Concepts and Aligning on Direction
With a strong foundation in place, we moved into concept development, exploring ways to integrate AI into analyst workflows that provided sufficient detail without overwhelming users. We developed three concepts for a pre-analysis dashboard designed to give analysts a high-level overview of the vehicle being screened.
We explored three concept directions for the pre-screening dashboard, each offering a different way to integrate AI insights and support analyst decision making:
- AI Process-Focused: Highlighted the AI’s internal decision-making process, emphasizing data inputs and the algorithm’s step-by-step logic. While it provided transparency, it was less aligned with how analysts typically review and act on information.
- Analyst-Aligned Workflow (Selected): Followed the analyst’s decision-making flow, this concept presenting scan imagery, cargo details, and risk indicators in an intuitive order. exploring ways to integrate AI into analyst workflows that provided sufficient detail without overwhelming users.
- Simplified Risk Score: Designed for quick assessments, this concept featured a high-level risk score and contributing factors, but offered less context around the scan and screening phases, limiting its depth.
After presenting the concepts and gathering feedback from CertScan stakeholders, we chose the analyst-aligned workflow approach. This concept consolidated key data from the cargo manifest, scan history, and current scan into a cohesive view and included a screening timeline, AI-generated risk visualization, and an image analysis section highlighting suspicious scan areas.
