From ticket context to reusable ops rows
General capture saves the contact. Structured capture turns the page into reusable rows. Vertical capture understands the fields your team actually needs.
QuickContact helps support and operations teams capture contact details from tickets, help centers and portal pages today. Structured exports are the next team layer, while support ops schemas are positioned for paid pilot teams that need richer operational fields.
General capture saves the contact. Structured capture turns the page into reusable rows. Vertical capture understands the fields your team actually needs.
Support and operations teams often find contact details inside ticket text, queue pages and internal systems. QuickContact keeps the promise tight: capture the contact today, organize it into rows next, and only present richer schema extraction where a pilot is actually intended.
Save or copy the queue contact, desk number or callback detail from the current ticket, portal or support page with source context attached.
Structured output is aimed at callback lists, escalation review, team history and CSV-ready exports instead of scattered ticket notes.
When the workflow needs richer ops fields, the support schema becomes a paid team add-on and pilot path rather than something the page overclaims as fully launched.
This field set is positioned as planned or pilot functionality. General capture already handles the live save or copy action; the schema adds richer structure for queue ownership, ticket context and operational follow-up.
Capture the queue contact, callback number, source page and visible context directly from the browser workflow your team already uses.
Move to structured rows when the team needs callback lists, exports, queue history and less manual cleanup between systems.
Offer support ops extraction as planned or pilot functionality for teams that need richer routing and ticket context fields.
Structured capture is the premium team workflow, and support ops schemas are planned as paid team add-ons because they extract richer, workflow-specific data.