randarium
Datasets

Fake Support Tickets Generator

Create reproducible synthetic support ticket datasets with subjects, priorities, statuses, categories, assignments, and timestamps. Resolved tickets may have completion dates for helpdesk and analytics testing.

Also known as: support tickets · help desk · issue tracking

seeded · synthetic data

Output

No output yet — set your options and hit .
About this tool, tips & examples

What it does

The Fake Support Tickets Generator produces synthetic helpdesk data — subjects, priorities, statuses, categories, assignees, and timestamps, with resolution dates on resolved and closed tickets — up to 10,000 rows per run. A null rate simulates incomplete records, and seeded output means the same queue can be regenerated for every test run.

Common use cases

  • Helpdesk system testing — queues, filters, assignment logic, and bulk actions against a realistic ticket mix.
  • SLA and analytics dashboards — resolution-time charts, priority breakdowns, and backlog trends with coherent timestamps.
  • Support tooling demos — screenshots and walkthroughs with zero customer data exposure.
  • Load testing — 10k-ticket batches for search, pagination, and reporting performance.

Settings

  • Rows — 1 to 10,000 tickets per run, exportable as CSV, JSON, NDJSON, TSV, or Markdown.
  • Null rate — 0 to 1; randomly blanks nullable fields to simulate messy real-world exports.
  • Seed — identical seed + settings = identical ticket queue.

Privacy note

Tickets are generated locally in your browser and never uploaded. Everything is fictional — requesters, subjects, and assignees are synthesized — and must not be presented as real support history.

FAQ

Do resolved tickets have sensible dates? Yes — resolution timestamps follow creation timestamps, so cycle-time and SLA calculations produce meaningful numbers instead of negative durations.

Can I test SLA breach logic? Generate a large batch: the spread of priorities and resolution times will cross typical SLA thresholds, giving both compliant and breached cases.

How do I get matching customers or agents? Pair with the Fake Profile or Fake Employee dataset generators and join on your side — all three are seeded, so the combination stays reproducible.