Build a Support Rating Dashboard (CSAT Tutorial)

Support quality makes or breaks businesses.

You need to know: How fast are we responding? Are customers satisfied? Which issues keep recurring? Most teams have no idea — they just answer tickets and hope for the best.

This tutorial shows how we built the Support Rating Dashboard — a complete support quality system.

What We're Building

A support dashboard that:

Tracks tickets and resolution
Collects satisfaction ratings
Measures response times
Identifies top issues
Reports on team performance

Time: ~15 minutes
Skills needed: None

Step 1: The Prompt

Build a support rating dashboard with:

TICKETS:

Tickets table: subject, customer email, status (open, in progress, resolved), priority (low, medium, high, urgent), assignee, category
Created date, first response time, resolution time
Customer satisfaction rating (1-5) after resolution

METRICS:

Average first response time
Average resolution time
CSAT score (average rating)
Tickets by status
Tickets by category
Agent performance

VIEWS:

Dashboard with key metrics
Ticket queue by status
My tickets view
Agent leaderboard
CSAT trends

AUTOMATION:

Assign tickets based on category
Escalate urgent tickets immediately
Send satisfaction survey after resolution
Alert if SLA breached

INTELLIGENCE:

AI that suggests ticket categories
Identifies common issues
Drafts response templates

Step 2: Generated Schema

Tickets Table

Field	Type	Purpose
subject	Text	Issue title
description	Long text	Full details
customer_email	Email	Contact
status	Select	Open, In Progress, Resolved
priority	Select	Low, Medium, High, Urgent
category	Select	Technical, Billing, Feature, Bug, Other
assignee	User	Team member
created_at	Date	When submitted
first_response	Date	When first replied
resolved_at	Date	When closed
rating	Number (1-5)	Customer satisfaction
rating_comment	Text	Feedback

Calculated Fields

First Response Time = first_response - created_at (in hours)
Resolution Time = resolved_at - created_at (in hours)
SLA Status = If first_response > 4 hours, "Breached"

Step 3: Sample Tickets

We added test data:

Subject	Priority	Status	Category	Response Time	Rating
Can't login	High	Resolved	Technical	2h	5
Billing question	Medium	Resolved	Billing	3h	4
Feature request	Low	Resolved	Feature	8h	3
App crashes	Urgent	In Progress	Bug	30min	—

Dashboard immediately showed:

Open tickets: 1
Avg response: 3.4h
CSAT: 4.0

Step 4: Setting Up Automations

Ticket Routing

TRIGGER: New ticket created
CONDITIONS:
├── IF category = Technical → Assign to Tech Team
├── IF category = Billing → Assign to Billing Team
└── IF priority = Urgent → Notify manager immediately

SLA Alerts

TRIGGER: Ticket age > 4 hours AND status = Open
ACTIONS:
├── Send alert to assigned agent
├── Copy manager on urgent tickets
└── Update SLA Status to "Breached"

Satisfaction Survey

TRIGGER: Ticket status changed to "Resolved"
ACTIONS:
├── Wait 24 hours
├── Send CSAT survey email
└── Log survey sent

Step 5: Testing the AI

Query: "What are our most common issues?"
Response: "Technical issues are 45% of tickets this month, primarily login problems (12 tickets). Billing questions are second at 30%."

Query: "Who's performing best?"
Response: "Sarah has the highest CSAT at 4.8 with 45 resolved tickets. Tom has the fastest response time at 1.2 hours average."

Query: "Draft a response for password reset"
Response: "Hi [Customer], I understand you're having trouble logging in. Let me help you reset your password..."

Step 6: Dashboard Views

The system shows:

Main Dashboard

Tickets by status (open/in progress/resolved)
CSAT trend chart
Response time trends
Top categories

Agent Leaderboard

Tickets resolved
Average CSAT
Response time

CSAT Analysis

Scores over time
Scores by category
Low-rating drill-down

The Final Dashboard

After 15 minutes:

✅ Complete ticket system with priorities and categories
✅ CSAT tracking with survey automation
✅ SLA monitoring with breach alerts
✅ Team performance leaderboard
✅ AI assistant for insights and drafts
✅ Automated routing and escalation

Clone Support Rating Dashboard →

Customization Ideas

Extend your support system:

Knowledge base — self-service articles
Canned responses — pre-built templates
Customer history — past tickets per customer
Multi-channel — email, chat, phone tracking
Integration — connect to Slack, email providers
NPS tracking — add Net Promoter Score

Build Your Own

Open Taskade Genesis
Customize our prompt for your team
Add your categories and SLAs
Configure automations
Start tracking support quality

Learn more: Create Your First App →

Resources

Clone the template:

Support Rating Dashboard

Related templates:

Documentation:

Start Building →

More tutorials:

Explore Taskade AI:

AI App Builder — Build complete applications
AI Agent Builder — Create support agents

Build with Genesis:

Browse All Generator Templates — Apps, dashboards, websites, and more
Browse Agent Templates — AI agents for every use case
Explore Community Apps — Clone and customize

Frequently Asked Questions

How do I build a customer support dashboard with AI?

With Taskade Genesis, describe your support needs in a prompt — ticket tracking, CSAT ratings, response time measurement, issue categorization, and team performance reports. Genesis generates a complete support dashboard in about 15 minutes with databases for ticket management, AI agents for automated routing, and workflows for escalation alerts.

What metrics should a support rating dashboard track?

A good support dashboard tracks ticket volume, resolution time, customer satisfaction (CSAT) scores, first-response time, recurring issue categories, and individual agent performance. Taskade Genesis dashboards include AI agents powered by 11+ models that automatically analyze these metrics and surface trends across 8 project views.

Can AI agents help with customer support ticket routing?

Yes. Taskade AI agents can automatically categorize incoming tickets, route them to the right team member, suggest responses based on past resolutions, escalate high-priority issues, and generate weekly performance reports. Agents have 22+ built-in tools and persistent memory, so they learn your support patterns over time.

How do I control who can view support data and customer information?

Taskade's 7-tier permission system (Owner, Maintainer, Editor, Commenter, Collaborator, Participant, Viewer) lets you set precise access levels. Support managers get full dashboard access, agents see their own ticket queues, and stakeholders get view-only access to aggregated metrics. Customer data stays protected with workspace-level access controls.