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You are a developer who builds support tools.
I work in IT & Software: a software company that ships a SaaS product. This work matters to engineering leads, developers and IT buyers.
## Goal
Build a ticketing system for customer or internal IT support with SLAs and a knowledge base.
## What matters in IT & Software
- People involved: product managers; engineering leads; DevOps and SRE engineers; the security team; customer success; IT buyers and procurement.
- Rules and standards that usually apply: data-protection law (GDPR in the EU, the DPDP Act 2023 in India, CCPA in California); SOC 2 or ISO 27001 security audits; OWASP secure-coding practice; open-source licence terms; the uptime and support promises in customer SLAs.
- Numbers that matter: deployment frequency; lead time for changes; change failure rate; mean time to recovery; uptime against SLA; MRR/ARR; net revenue retention; logo churn.
- Common risks to plan for: outages; data breaches and security holes; vendor lock-in; scope creep; knowledge held by one person; churn after a bad release.
- Rules differ by country. If I have not said where I work, ask me, and do not present one country's law as if it applied everywhere.
## What I will give you
- Users and channels: [email, web form, chat]
- Team size: [AGENTS]
- SLA rules: [RESPONSE AND RESOLUTION TIMES]
- Stack: [STACK]
- Anything else you should know: [EXTRA CONTEXT, or "none"]
## How to work through it
1. Summarise what you understood about the product, its users and the launch scope. Point out anything unclear or contradictory and ask before you guess.
2. Create tickets from email and web forms with attachments.
3. Build assignment rules, queues, priorities and tags.
4. Track SLAs with timers, warnings and escalations.
5. Build the agent view with canned replies, internal notes and merge.
6. Build a customer portal to track tickets.
7. Build a knowledge base linked to tickets.
8. Build reports: volume, response times, satisfaction.
9. Give a launch checklist covering security, performance, SEO, accessibility, backups and monitoring.
10. List what is deliberately out of scope for version 1 and what to build next.
## What to deliver
- Plan and data model
- Phase-by-phase build
- SLA engine logic
- Email integration
- Reports
## Expert rules
- Build mobile first and make every screen work from 360px wide upwards, with labels, keyboard support and 4.5:1 contrast.
- Validate every input on the server, use prepared statements, hash passwords, protect forms with CSRF tokens and check roles on every admin action.
- Give complete files with full paths; never write "rest of the code stays the same".
- Respect uptime, security and data-protection requirements. If anything in my plan or inputs conflicts with them, say so plainly and suggest a fix.
- Do not invent facts, figures, laws, sources or quotes. Label anything you had to assume with "Assumption:" and tell me how to check it.
## Format
- Start with the plan (stack, structure, data model, screens), then build in numbered phases.
- Use tables for data models and endpoint lists.
- End each phase with how to run and test it.
## Before you answer
Check your draft against this list and fix anything that fails:
- The answer is practical enough to use today without rewriting.
- Every item under "What to deliver" is complete, specific to my inputs and usable as it is, with no placeholders left for me to guess.
- Where it applies, it shows the likely effect on deployment frequency and uptime.
If something essential is missing, ask me up to 3 short questions first. Otherwise, start.
How to use this prompt
- Copy the prompt. Press Copy prompt and the full text goes to your clipboard.
- Fill the brackets. Use the form above, or replace [email, web form, chat], [AGENTS], [RESPONSE AND RESOLUTION TIMES], [STACK], [EXTRA CONTEXT, or "none"] with your own details.
- Paste and send. Paste it into ChatGPT, Claude, Gemini and DeepSeek and send. Ask follow-up questions to refine the answer.
Why use this Build a helpdesk ticketing system prompt?
This build a helpdesk ticketing system prompt is written for a software company that ships a SaaS product. It tells the assistant who the answer is for (engineering leads, developers and IT buyers) and the limits it must respect: uptime, security and data-protection requirements. That context is what turns a generic reply into one an IT & Software team can use straight away.
Most people type a single line and get a generic answer back. This prompt gives the assistant the role, the context and the structure it needs, so the first answer is already close to what you would hand to your team. Because it is written for IT & Software, it keeps the focus on what that industry measures: deployment frequency and uptime.
How to get the best answer
- Be specific in the brackets: real names, numbers and dates give a far better answer than placeholders.
- Paste real material: where the prompt asks for notes, data or text, paste the actual content rather than a summary.
- Refine in the same chat: ask "make it shorter", "turn it into a table" or "add more detail on step 2".
- Check the result: review it against what you know about deployment frequency and uptime before you share it.
FAQ
Frequently asked questions
Which AI assistant works best with this Build a helpdesk ticketing system prompt?
It works in any chat assistant. It suits ChatGPT, Claude, Gemini and DeepSeek best. Paste it in, send it, and ask follow-up questions in the same chat.
What do I need to replace before sending it?
Replace the 5 highlighted brackets – [email, web form, chat], [AGENTS], [RESPONSE AND RESOLUTION TIMES], [STACK], [EXTRA CONTEXT, or "none"] – with your own details. The more specific you are, the better the answer.
Is this prompt only for IT & Software?
This version is written for a software company that ships a SaaS product. The same prompt is also available for 0 other industries, listed on this page.
Is it free to use?
Yes. Copy it as often as you like and use it in your own work. No sign-up is needed.
Can I trust the answer?
Treat it as a strong first draft. Check facts and figures yourself, especially anything with legal, financial, medical or safety consequences.
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