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Support Ticket Dashboard

A support starter kit for SLA, backlog, first response, and repeat issues.

50 minNext.js / Tailwind / RechartsSupport lead

Recipe Workspace

Preview the layout, understand the KPIs, copy the starter

Review the dashboard at a practical desktop ratio first, then use the KPI rationale, code starter, and AI IDE prompt below.

Live Recipe Preview

Support Ticket Dashboard

A support starter kit for SLA, backlog, first response, and repeat issues.

Starter Kit availableOpen live view

Live Recipe

Support Ticket Dashboard

A support starter kit for SLA, backlog, first response, and repeat issues.

Overview · Starter Kit available
Ops workbenchdensesidebarstatus wallmap/list panelincident feed

Open tickets

18,420+8.2%

SLA risk

34.8%+2.1%p

First response

$84.2K+12.4%

CSAT

ReadyTracked

Open tickets trend

Recharts

Status Wall

Visx
!

Open tickets

incident feed

Watch
!

SLA risk

incident feed

Watch
!

First response

incident feed

Watch

Watch List

Open ticketsWatch
SLA riskWatch
First responseWatch

Detail Table

Open tickets

Sample data

18,420

상태

SLA risk

Sample data

34.8%

상태

First response

Sample data

$84.2K

상태

Top

Four KPI cards

Middle

Primary trend and segment view

Bottom

Priority table and alerts

KPI Ingredients

Open tickets

Open tickets belongs in the primary row when an owner can act on it this week.

Alternative KPI: Open tickets segment

SLA risk

SLA risk belongs in the primary row when an owner can act on it this week.

Alternative KPI: SLA risk segment

First response

First response belongs in the primary row when an owner can act on it this week.

Alternative KPI: First response segment

CSAT

CSAT belongs in the primary row when an owner can act on it this week.

Alternative KPI: CSAT segment

Code Starter

Copy component starter

const metrics = [
  { label: "Open tickets", value: "18,420", change: "+8.2%" },
  { label: "SLA risk", value: "34.8%", change: "+2.1%p" },
  { label: "First response", value: "$84.2K", change: "+12.4%" }
];

export function SupportTicketDashboardPreviewCards() {
  return <section className="grid gap-3 md:grid-cols-3">{metrics.map((metric) => <article key={metric.label} className="rounded-xl border border-zinc-200 bg-white p-4"><p className="text-xs font-bold text-zinc-500">{metric.label}</p><strong className="mt-1 block text-2xl font-black">{metric.value}</strong><span className="text-xs font-black text-emerald-600">{metric.change}</span></article>)}</section>;
}

AI IDE Prompt

Paste into your AI IDE

Create a Support Ticket Dashboard. Put KPI cards for Open tickets, SLA risk, First response, CSAT, trend and segment charts, a priority table, and empty/loading/error states.

Bundle Preview

3 screens included

Preview the overview, detail, and settings screens as SVG before downloading the ZIP source.

Decision System

Why this dashboard should exist before it is designed

AdSense-quality pages need original explanation, not only screenshots. This section documents the decision, data model, failure patterns, and implementation alternatives.

Operating decision

Support Ticket Dashboard answers this operating question: Is support risk caused by SLA, repeat issues, or owner load?. The primary row is not a vanity summary; it decides what an owner should do this week.

The recipe is designed for Support lead, Early product builders who need to choose data definitions, chart priority, and bottom-row actions quickly.

Data sources and event definitions

  • Ticket system, SLA events, conversation tags

Before implementation, define event names, owner, refresh cadence, and missing-data behavior for each source.

Required KPIs and removal rules

Open tickets

Open tickets belongs in the primary row when an owner can act on it this week.

Alternative or removal signal: Open tickets segment

SLA risk

SLA risk belongs in the primary row when an owner can act on it this week.

Alternative or removal signal: SLA risk segment

First response

First response belongs in the primary row when an owner can act on it this week.

Alternative or removal signal: First response segment

CSAT

CSAT belongs in the primary row when an owner can act on it this week.

Alternative or removal signal: CSAT segment

Common failure patterns

Treat isolated movement in Open tickets as a signal to inspect data definitions or operating bottlenecks.

Treat isolated movement in SLA risk as a signal to inspect data definitions or operating bottlenecks.

Treat isolated movement in First response as a signal to inspect data definitions or operating bottlenecks.

Treat isolated movement in CSAT as a signal to inspect data definitions or operating bottlenecks.

Alternative layout

For an MVP, keep Four KPI cards. As data matures, expand Primary trend and segment view into segment comparison or cohort analysis.

Implementation Blueprint

KPI audit protocol before implementation

Use this table before designing the UI. Without a formula, review cadence, and action trigger, a dashboard can look polished but still fail to support an operating meeting.

Open tickets

Open tickets = source event aggregate / comparison baseline. Start segmentation by Open tickets segment.

Daily morning

If Open tickets moves more than 10% week over week, inspect the causal segment and action table together.

SLA risk

SLA risk = source event aggregate / comparison baseline. Start segmentation by SLA risk segment.

Weekly review

If SLA risk moves more than 10% week over week, inspect the causal segment and action table together.

First response

First response = source event aggregate / comparison baseline. Start segmentation by First response segment.

After campaign end

If First response moves more than 10% week over week, inspect the causal segment and action table together.

CSAT

CSAT = source event aggregate / comparison baseline. Start segmentation by CSAT segment.

Monthly report

If CSAT moves more than 10% week over week, inspect the causal segment and action table together.

Event and table starter

When starting from an AI IDE, lock event and table names first. It makes generated components and queries much more consistent.

support_ticket.viewed

Source event for Open tickets. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.

support_ticket.converted

Source event for SLA risk. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.

support_ticket.risk_flagged

Source event for First response. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.

support_ticket.resolved

Source event for CSAT. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.

Weekly review sequence

  1. 1Separate whether the Open tickets movement is a real operating issue or short-term noise.
  2. 2Read it with SLA risk to narrow the cause to acquisition, conversion, quality, or throughput.
  3. 3Use the bottom table to choose one owner, one segment, and one action for this week.
  4. 4At the next review, adjust the layout based on recovery after the action, not on the same chart alone.

Frequently asked questions

Which KPIs should Support Ticket Dashboard prioritize?

Support Ticket Dashboard should prioritize Open tickets, SLA risk, First response, CSAT. Keep Open tickets in the primary row only when an owner can act on it this week.

What data sources are required?

Ticket system, SLA events, conversation tags are the baseline sources. Define event names, refresh cadence, owner, and missing-data behavior before implementation.

Can this layout be used for an MVP?

For an MVP, start with Four KPI cards and Primary trend and segment view. Add bottom tables and alerts when operating actions become clear.

Which metrics should be removed?

Remove metrics that cannot trigger an action within one weekly review cycle, have unstable definitions, or behave like vanity metrics without adjacent context.

How should the AI IDE prompt be used?

Use the prompt as a starting point, then add real field names, table names, state UI requirements, and accessibility requirements for your project.

Market Pattern

Marketplace-proven dashboard pattern, rewritten for Dashcipe

This section documents the public preview pattern behind the layout and how Dashcipe changes it into original KPI guidance.

ops-workbench / dark
status wallmap/list panelincident feedgauge

Observed pattern

Monitoring templates use dark surfaces, status walls, region panels, incident feeds, and gauges to feel like a control room.

Dashcipe adaptation

Dashcipe applies that density to DevOps, IoT, logistics, and support risk detection.

Originality guard

Only the control-room information density is referenced; original graphics and maps are not used.

Free Resources

What you can use for free

Use the KPI logic, layout, code starter, prompt, Figma SVG, schema, and tokens directly.

downloadZIPdesignFigma SVGdataSchemadesignTokensDashcipe Quality StandardResponsive QASchemaFigma SVGLicenseChangelog

Starter Kit Files

What's inside this bundle

  • overview.html
  • detail.html
  • settings.html
  • src/page.tsx
  • src/components
  • src/data/sample-data.ts
  • data/schema.json
  • tokens.json

Compatibility

Built for fast implementation

  • Next.js App Router
  • Tailwind CSS
  • Static HTML preview
  • Figma SVG import

Implementation time: 35 min

Quality Checklist

Market-ready signals

  • 3 production-style screens
  • Reusable TSX components
  • Empty/loading/error states
  • Light/dark tokens
  • Schema-backed sample data

Use this recipe when

  • The vertical metrics are already roughly known
  • You need to prioritize charts and tables quickly

Skip this recipe when

  • No events or data definitions exist yet
  • You only need a marketing landing page

Expert Notes

How a real operator should read these KPIs

These notes turn each metric into an operating decision, data source, and removal rule.

Support lead

Why it matters
Open tickets is not a vanity number; it decides the next operating action.
Failure signal
Treat isolated movement in Open tickets as a signal to inspect data definitions or operating bottlenecks.
Data source
Ticket system, SLA events, conversation tags
When to remove
Remove it from the primary row if no owner can act within one weekly review cycle.

Support lead

Why it matters
SLA risk is not a vanity number; it decides the next operating action.
Failure signal
Treat isolated movement in SLA risk as a signal to inspect data definitions or operating bottlenecks.
Data source
Ticket system, SLA events, conversation tags
When to remove
Remove it from the primary row if no owner can act within one weekly review cycle.

Support lead

Why it matters
First response is not a vanity number; it decides the next operating action.
Failure signal
Treat isolated movement in First response as a signal to inspect data definitions or operating bottlenecks.
Data source
Ticket system, SLA events, conversation tags
When to remove
Remove it from the primary row if no owner can act within one weekly review cycle.

Support lead

Why it matters
CSAT is not a vanity number; it decides the next operating action.
Failure signal
Treat isolated movement in CSAT as a signal to inspect data definitions or operating bottlenecks.
Data source
Ticket system, SLA events, conversation tags
When to remove
Remove it from the primary row if no owner can act within one weekly review cycle.

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