Common terms used in Damage Control, Inc. (DCI) help requests and support operations.
Contractor — A licensed subcontractor, crew member, or specialist engaged by DCI to perform on-site repair, debris removal, or reconstruction work.
Client — A city, government agency, or insurance company that contracts DCI to manage post-incident cleanup and reconstruction.
DCI Operations Portal — The internal web application used by staff and contractors to manage work orders, site assignments, certifications, and billing.
Engineering Backlog — The prioritized queue of software development work tracked by the DCI technology team.
Damage Analytics Team — The data and analytics team responsible for dashboards, incident reporting, and data pipelines.
Field Support Desk — The service desk team that handles portal access requests, contractor onboarding, certification questions, and general how-to guidance.
API — Application Programming Interface; a way for software systems to communicate with each other.
ETL — Extract, Transform, Load; the process of moving data from source systems into reporting or analytics systems.
Dashboard — A visual interface displaying key business metrics, usually updated on a schedule or in real time.
Data Sync — A scheduled process that copies or reconciles data between two or more systems.
Integration — A connection between two software systems that allows them to exchange data automatically.
SLA — Service Level Agreement; a commitment to respond to or resolve a request within a defined time window.
Triage — The process of evaluating and categorizing an incoming request to determine the appropriate routing and priority.
Routing Target — The team or queue a request is sent to after triage. Maps to one of the four classification categories:
| Classification | Routed To |
|---|---|
| Data Patch | Damage Analytics Team (DBA queue) |
| Engineering Ticket | Engineering Backlog |
| Field Support | Field Support Desk |
| Needs Human Review | Triage Lead (manual review) |
Confidence Score — A value between 0.0 and 1.0 indicating how certain the AI model is about its classification.
Rationale — A short, plain-language explanation of why a request was classified a certain way.