Support Tickets Dataset Generator

Fast path to a dashboard-ready CSV

Start with 100 rows, generate in the browser, then download a BI-ready CSV or JSON file. Support Tickets keeps protected realism rules, stable field order, and clear row grain so beginners can move quickly while advanced users still get coherent dashboard data.

Trust and realism proof

MockRows describes the row grain, repeated IDs, lifecycle blanks, and metric formulas so dashboard users know how to analyze the file without double-counting or trusting random-looking data.

What the Support Tickets dataset contains

Ticket-level helpdesk records with coherent statuses, priorities, channels, response and resolution timing, SLA outcomes, teams, and CSAT.

Dashboard questions you can practice

Practice ticket volume, backlog, SLA breach, resolution time, channel, priority, team workload, reopened ticket, and customer outcome analysis.

Data grain and quality rules

Unique ticket_id values define the grain. Active tickets keep resolution and CSAT blank, while resolved tickets follow valid lifecycle timing.

Frequently asked questions

How are the Ticket Dates and SLA Indicators generated?

Every support ticket sequence row generates synchronized timestamps. The created date is paired with a logical resolved date (if status is Closed or Resolved). The program calculates resolution hours, response hours, and SLA breach statuses automatically, avoiding random values.

Which Support Tickets row counts can I generate?

Choose 100, 500, or 1,000 tickets, then download the fixed launch schema as CSV or JSON.