Prompt Library

IT Support Prompts for Tickets, Users, and Documentation

16 copy-paste prompts

16 ChatGPT prompts for IT support teams: ticket triage, user-friendly communication, knowledge base articles, troubleshooting scripts, incident documentation. Better support at scale.

In short: This page contains 16 copy-paste ready prompts, organized into 4 categories with a description and pro tip for each. The first 5 prompts are free instantly, no signup needed. Drafted with AI writing assistance and checked against our editorial policy.

Louis Corneloup
By Louis Corneloup ยท Founder, Techpresso
Last updated ยทDrafted with AI assistance (how we make prompts)

Ticket Handling

4 prompts

Ticket Triage + Categorization

1/16

โœจ What it does

ChatGPT triages [user's report] into a category, P1/P2/P3/P4 priority, estimated time, first troubleshooting steps, which tier to route, and SLA notes. Assign the priority yourself, then route it before you start deep diagnosis.

Triage ticket. Description: [user's report]. Include: issue category, priority level (P1/P2/P3/P4), estimated resolution time, initial troubleshooting steps, which tier to route, SLA implications. Speed + accuracy.

๐Ÿ’ก

Pro tip: Accurate triage = efficient queue. Misrouted tickets = bouncing + user frustration. 30 seconds of triage saves 30 min of wrong-queue work.

User-Friendly Troubleshooting Response

2/16

โœจ What it does

ChatGPT writes a jargon-free troubleshooting reply for [describe] with numbered steps, expected results, what to do if a step fails, and a follow-up if it stays broken. Send the numbered list, then stay on the ticket until they confirm.

Troubleshooting response to non-technical user. Issue: [describe]. Include: plain language (no jargon), numbered steps, expected results per step, what to do if step fails, follow-up if unresolved. Patient supportive.

๐Ÿ’ก

Pro tip: Users โ‰  IT. "Reboot PC" vs "Restart your computer by clicking Start โ†’ Power โ†’ Restart" = different completion rates. Specificity = resolution.

Escalation Documentation

3/16

โœจ What it does

ChatGPT writes a Tier 2 handoff for [describe] after [list], with symptoms, completed troubleshooting, environment details, priority reasoning, and a specific question. Paste the steps you actually tried, then escalate with that question on top.

Escalation documentation to next tier. Issue: [describe]. Steps tried: [list]. Include: symptom description, troubleshooting completed, user environment details, priority reasoning, specific question for Tier 2. Handoff-ready.

๐Ÿ’ก

Pro tip: Escalation quality = Tier 2 efficiency. Complete handoff = fast resolution. Vague handoff = Tier 2 repeats Tier 1 work. Document thoroughly.

Close Ticket Communication

4/16

โœจ What it does

ChatGPT writes a ticket-close note for [describe] with the solution, prevention tips, related issues to watch, a satisfaction survey invite, and a friendly close. Confirm the fix with the user, then close the ticket after you send the note.

Close ticket communication to user. Resolution: [describe]. Include: solution explanation, preventive guidance, related issues to watch for, satisfaction survey invitation, friendly close. User-focused closure.

๐Ÿ’ก

Pro tip: Close communication: educational. Explain what was wrong + how to prevent. User becomes self-sufficient on this issue. Fewer future tickets.

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Documentation

4 prompts

Knowledge Base Article

5/16

โœจ What it does

ChatGPT writes a knowledge-base article for [common issue] with problem, symptoms, step-by-step fix, screenshot cues, prevention, when to contact IT, and related articles. Add the real screenshots, then publish it where users search first.

Knowledge base article for [common issue]. Include: problem description, symptoms checklist, step-by-step resolution, screenshots reference, prevention, when to contact IT, related articles. User-self-service friendly.

๐Ÿ’ก

Pro tip: KB articles deflect tickets. Quality KB = 30-50% self-service. Invest time; compounds. Bad KB = users find nothing + open tickets anyway.

SOP Documentation

6/16

โœจ What it does

ChatGPT writes an SOP for [describe] with purpose, prerequisites, steps, expected outcomes, rollback, security notes, owner, and review cadence. Run the steps once yourself, then assign the owner and the review date.

SOP for IT task. Task: [describe]. Include: purpose, prerequisites, step-by-step procedure, expected outcomes, rollback if fails, security considerations, owner + review cadence. Replicable.

๐Ÿ’ก

Pro tip: SOPs enable team consistency + backup coverage. New hires productive faster. Tribal knowledge lost when person leaves; documented knowledge persists.

Incident Report

7/16

โœจ What it does

ChatGPT writes a post-incident report for [describe] with timeline, impact, root cause, remediation, prevention, lessons, and stakeholder notes. Confirm the timeline with logs, then circulate the report to the people who felt the impact.

Post-incident report. Incident: [describe]. Include: timeline, impact assessment, root cause analysis, remediation steps, preventive measures, lessons learned, stakeholder communication. Professional thorough.

๐Ÿ’ก

Pro tip: Incident reports: blameless culture. "System failed because..." > "John misconfigured..." Focus on systemic improvements; individuals blamed don't admit next time.

Change Management Request

8/16

โœจ What it does

ChatGPT writes a change request for [describe] with business case, technical details, risk, rollback, testing, approvals, and an implementation window. Attach the test evidence, then submit it before the change window.

Change management request. Change: [describe]. Include: reason/business case, technical details, risk assessment, rollback plan, testing completed, approval required, implementation plan + window. CAB-ready documentation.

๐Ÿ’ก

Pro tip: Change requests: thoroughness = approval. Rushed CRs = denied. Risk + rollback + testing = professional. CAB respects preparation.

User Communication

4 prompts

Planned Outage Notification

9/16

โœจ What it does

ChatGPT writes a planned-outage notice for [describe] with start and end times, impacted services, what to do beforehand, workarounds, and how to report issues. Post it early enough to prepare, then include the workaround in the same note.

Planned outage notification to users. Outage: [describe]. Include: start/end times, services impacted, what users should do before, workarounds during, how to report issues. Prep + reassurance.

๐Ÿ’ก

Pro tip: Planned outages: over-communicate. Email 1 week, 3 days, day of, 1 hour before. Silent outages = angry users. Prep prevents panic.

Unplanned Outage Update

10/16

โœจ What it does

ChatGPT writes an unplanned-outage update for [describe] that acknowledges impact, states what you know, says the team is on it, gives the next update time, and offers a workaround if one exists. Hit that update clock, then do not guess at a fix time.

Unplanned outage update to affected users. Situation: [describe]. Include: impact acknowledgment, what we know, team working on it, next update timing, workaround if available. Calm informed.

๐Ÿ’ก

Pro tip: Outage communication: frequent short updates. Every 30 min even if "still working on it." Silence = panic. Constant updates = calm.

Security Incident Communication

11/16

โœจ What it does

ChatGPT writes a user-facing security-incident note for [describe] covering what happened in plain language, impact, actions they should take, the team response, and when more info comes. Have security review it, then circulate only what they approved.

Security incident communication to users. Incident: [describe]. Include: what happened (non-technical), impact on them, actions they should take, team response, further info coming. Transparent appropriate.

๐Ÿ’ก

Pro tip: Security incidents: transparent + actionable. Cover-up = catastrophic trust damage. Honest communication builds trust; required by law often.

IT Policy Announcement

12/16

โœจ What it does

ChatGPT writes an IT policy announcement for [describe] with why it changed, what users must do, the effective date, how to comply, available support, and consequences. Confirm the date with leadership, then announce it before the policy starts.

IT policy announcement. Policy: [describe]. Include: context for change, what changes for users, effective date, how to comply, support available, compliance consequences. Clear expected.

๐Ÿ’ก

Pro tip: Policy announcements: why before what. Context reduces resistance. "We're adding MFA because breaches cost $X" > "we're adding MFA." Buy-in from understanding.

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Technical Scripts

4 prompts

PowerShell Automation Script

13/16

โœจ What it does

ChatGPT writes a commented PowerShell script for [task, user provisioning / report generation / system maintenance] with error handling, logging, reusable parameters, and testing notes. Test it in a non-prod environment, then run it only after the logs look clean.

PowerShell script for [task โ€” user provisioning / report generation / system maintenance]. Include: commented code, error handling, logging, parameters for reusability, testing considerations. Production-ready.

๐Ÿ’ก

Pro tip: PowerShell scripts: comments for future-you. Scripts live 5+ years; memory doesn't. Well-commented scripts = team asset.

Active Directory Query

14/16

โœจ What it does

ChatGPT writes a read-focused Active Directory query for [need, find stale accounts / group membership / permissions report] with PowerShell or LDAP syntax, filters, output format, and a change-data warning. Run it read-only first, then export the result before anyone edits.

Active Directory query for [need โ€” find stale accounts / group membership / permissions report]. Include: PowerShell/LDAP query syntax, filter logic, output format, safety considerations (read-only vs changes). Accurate.

๐Ÿ’ก

Pro tip: AD queries: test with read-only first. Destructive queries (remove users, change groups) need double-check. Always verify impact before execute.

Network Troubleshooting Steps

15/16

โœจ What it does

ChatGPT gives a layer-by-layer network troubleshooting plan for [describe] with OSI order, ping, tracert, nslookup, common causes, escalation triggers, and how to document it. Work the layers in order, then escalate when you hit a trigger.

Network troubleshooting methodology. Issue: [describe]. Include: layer-by-layer approach (OSI model), diagnostic commands (ping, tracert, nslookup), common causes, escalation triggers, documentation standard. Systematic.

๐Ÿ’ก

Pro tip: Network troubleshooting: OSI model bottom-up. Check physical before application layer. Skip layers = wrong diagnosis + hours wasted.

User Permission Audit

16/16

โœจ What it does

ChatGPT plans a permissions audit for [describe] with the query, output format, excessive-permission flags, least-privilege checks, remediation, and audit notes. Review the flags with the owner, then remove only the access they confirm is extra.

Audit user permissions. Scope: [describe]. Include: audit query, output format, excessive permissions flag, principle of least privilege check, remediation recommendations, audit documentation. Security-focused.

๐Ÿ’ก

Pro tip: Permission audits: compliance + security. Old accounts with excessive access = breach vector. Quarterly audits catch drift. Document findings + remediation.

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Frequently Asked Questions

Tier 1 password resets + basic troubleshooting: increasingly automated. Tier 2 + 3: complex problem-solving + relationships remain human. AI augments IT speed + documentation; doesn't replace engineer judgment.
ChatGPT + Claude for writing clarity. Notion AI integrated with docs. Confluence has AI features. GitHub Copilot for script writing. Combine AI drafts + engineer review = professional documentation.
Good KB deflects 30-50% of tickets. Self-service = faster resolution for users + lower support costs. Maintenance critical; outdated KB = worse than none. Update quarterly minimum.
Ticket systems (ServiceNow, Jira, Freshservice, Zendesk). Documentation (Confluence, Notion, Document360). Monitoring (Datadog, New Relic). Integration essential; siloed tools = slower support.
Threat detection, log analysis, phishing detection, incident response automation. Also used by attackers (AI-generated phishing). Arms race. Stay current on both defense + offense.

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