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📊 AI summaries of the tickets in your current filtered view.
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Last refreshed: —

Health Pulse

How are we doing right now?
Tickets Created Today
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Tickets Completed Today
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Net Aging Ticket Movement
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completed − created
— created · — completed
Completion Ratio (window)
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completed vs created
target: ≥100% to reduce aging tickets
Aging Tickets
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open + in-process + past SLA
Avg Agent TAT
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active work vs requester wait
Completed
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window
— today
Open
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window
— today
In Process
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window
— today
Waiting for Response
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typical wait —
Unassigned
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window
— today
Past SLA
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window
— today

Aging Ticket Flow

Are we clearing more than we take in?
Hero Chart
Daily Created vs Completed + Cumulative Aging Tickets
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On-Time Resolution
% of Tickets Resolved Before Due Date — Over Time
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Hero Chart
Daily Created vs Day-Of Completed + Aging Completed
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TAT Detail

Is resolution speed improving?
Detail
Daily Avg TAT + Volume + 7-Day Moving Average
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Distribution
TAT Histogram (hours)
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TAT Breakdown
Overall TAT = Avg Agent TAT + Waiting for Response
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Risk Radar

Where should we focus attention?
Risk Matrix
Agent Aging Tickets — Sorted by Risk Score
Agent Open In Proc Past SLA On-Time Oldest
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Agent Performance

Who's doing the most work?
Volume
Completed / In Process / Open / Past SLA by Agent
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Efficiency
Avg TAT by Agent — Color-Coded (hours)

Ticket Resolution Dispositions

How are resolved tickets being dispositioned?
Resolution
Resolved Tickets by Resolution Note
0
Resolution × Label
Resolution Breakdown by Top Labels

Resolution Notes

Browse freeform agent notes
Notes
Resolution Notes by Ticket
0 notes
🧑‍💼
Agent View
Performance metrics by agent handling tickets. Click any row for detailed drill-down.
Total Agents
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Avg Completed / Agent
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Avg On-Time %
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Avg TAT
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All Agents
Click any row to view agent detail
Agent Open In Process Past SLA Completed Total Avg TAT Median TAT On-Time % Tickets/Day First Active Last Active
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🏥
Facility Scorecard
Performance metrics by facility across the filter window. Search, sort, and click a facility to see its detail breakdown with patient metrics.
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Active Facilities
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Avg Tickets / Facility
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Avg On-Time %
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Avg TAT (biz hrs)
All Facilities
Click any row to view facility detail
Facility Open In Process Past SLA Completed Total # Providers # Patients Avg TAT Median TAT On-Time % Tickets/Day
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🗺️
State
Where the work is coming from, bucketed by US state. Respects all filter-bar selections.

By State

Bucketed by documents.state. Missing values roll into "Unknown".
States represented
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Top state
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Missing state
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Volume
Ticket Volume by State (top 20)
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Detail
State Breakdown
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State Total Completed Open In Process Past SLA Avg TAT On-time %
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By State — Today

Tickets whose _created falls between midnight and now (local time). Respects agent / priority / group / region filters; ignores the date range.
States today
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Top state today
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Missing state today
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Today's intake
Ticket Volume by State — Today Only
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Detail
State breakdown — Today Only
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State Total Completed Open In Process Past SLA Avg TAT On-time %
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📄
Document Type
Ticket volume, status mix, TAT, and on-time % by document type. Respects all filter-bar selections.

By Document Type

Bucketed by documents.document_type. Missing values roll into "(no type)".
Types represented
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Top type
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Volume
Ticket Volume by Document Type
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Detail
Document Type Breakdown
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Document Type Total Completed Open In Process Past SLA Avg TAT On-time %
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📅
Time View — Weekly Aggregation
Roll metrics up across a single month or the full quarter, broken down by week. Use the toggle below to switch views. Other filters (agent, queue, priority) still apply.
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Health Pulse

Totals for the selected period
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Completed
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Open
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In Process
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Avg TAT (hrs)
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On-Time %
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Tickets/Day
Volume
Weekly Completed Ticket Volume
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TAT × Priority
TAT by Priority Over Time
TAT × Label
TAT by Label Over Time (top 6)
Summary
TAT by Priority (Period)
Summary
TAT by Label (Period, top 8)
🕛
Ticket Activity
How tickets move through their lifecycle. What happens between "created" and "resolved" — and how long each step takes. Business-hours metrics (8am–6pm ET, weekdays, holidays excluded).

Aggregates

Headline lifecycle metrics across the filter window
Median Time to First Action
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biz hours
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Untouched > 1 Biz Day
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of tickets
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Avg Handoffs per Ticket
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avg
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Avg Provider Touchpoints
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msgs/ticket
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Re-open Rate
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of tickets
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Median Total TAT
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biz hours
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Distribution
Time to First Action — Business-Hours Histogram
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Intake → First Touch

How quickly do tickets get their first human touch?
By Group
Time to Assignment — Median & P90 by Group
Group n Median P90
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First Touch → Resolution

What happens during active work?
Handoffs
Handoff Count Per Ticket — Distribution
Provider Contact vs Speed
Avg TAT by Provider-Touchpoint Count
Attachment Churn
Tickets with attachments added and later removed
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TicketSubjectGroupAgentAddedRemoved
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Ticket Search & Timeline

Look up a ticket and inspect every event on it
Search
Find by ticket #, subject, provider, or facility
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📅
Historical Analytics — Since Jan 1, 2026
Long-term trends bucketed by week. Story: Is the team getting more productive over time?
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Overall Avg TAT (hrs)
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Total Completed
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On-Time Resolution %
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Avg Completed / Week

Weekly Aging Ticket Flow

Weekly created vs completed + cumulative aging tickets
Progress
Weekly Created vs Completed + Cumulative Aging Tickets
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Weekly Completed Tickets

Throughput
Weekly Completed Ticket Volume

Tickets per Agent per Day

Throughput
Avg Tickets Completed Per Active Agent Per Day — By Week

Average TAT Trends

Overall
Avg TAT Per Week — Is resolution speed improving?

On-Time Resolution Rate

Weekly
% of Tickets Resolved Before Due Date — By Week

Agent Productivity Over Time

All Agents
Weekly Avg TAT Per Agent — Heatmap (biz hrs)
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Rows sorted worst→best by overall mean TAT. Hover any cell for the exact value + ticket count. Green ≤24h, yellow ≤48h, orange ≤72h, red >72h.