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Customer Issue Classification Prompt Generator

⚡ Quick Answer

A ticket classification prompt assigns every incoming support message a fixed category, priority, and sentiment so it can be routed and measured automatically. The generator below uses a seven-category taxonomy — billing, bug, how-to, account access, feature request, outage, other — and returns strict JSON your helpdesk can parse without cleanup.

⚡ Customer Issue Classification Prompt Generator

Configure your facts below to generate a production-ready, constraint-locked prompt.

100% Client-Side

What this generator does

Classification is the highest-leverage place to use AI in support, because it is the one output a machine — not a person — consumes. Routing rules, SLA clocks, queue dashboards, and escalation automations all run on labels. That is also why the usual one-line prompt ("Classify this ticket: billing, technical, or general") fails in production: three vague categories for a whole product, no priority scheme, no sentiment, and free-text output that nothing can parse reliably.

This generator assembles a classification prompt built for automation instead. It enforces a fixed taxonomy of seven categories (below), a plan-aware P1–P4 priority scheme, a sentiment field, a confidence score, and an escalation check for sensitive tickets — and it returns all of it as strict JSON in a fixed field order, with the reasoning written before the labels so you can audit why any ticket was classified the way it was. Paste the generated prompt into GPT-6.1 or your existing triage flow, feed it tickets one at a time or in batches, and the output drops straight into your helpdesk's routing logic.

The fixed taxonomy — and why fixed matters

CategoryUse it when the customer…
billingreports charges, invoices, refunds, payment failures, or plan changes
bugdescribes something in the product that does not work as documented
how-toneeds guidance to complete a task the product already supports
account accesscannot log in, is locked out, or has a password, permissions, or SSO problem
feature requestasks for a capability the product does not have
outagereports the service is down or degraded — for them, or apparently for many users
otherfits none of the above — the safety valve, never a shortcut

Two rules make a taxonomy work. First, the model may never invent an eighth category: the moment free-text labels appear ("billing-ish", "technical problem"), reporting splits and routing breaks. Second, classify by what blocks the customer, not by the first problem mentioned — a ticket that opens with a login failure but is really about a duplicate charge is a billing ticket, with account access recorded as the secondary category. The template below encodes both rules explicitly, and the seven categories are editable in the generator if your helpdesk's labels differ — what matters is that the list is closed.

Priority works the same way. P1 is service down, data loss, a security incident, or an Enterprise customer completely blocked. P2 is a core feature broken with no workaround, or an Enterprise customer blocked on an important workflow. P3 is an impaired feature with a workaround, or a how-to question that blocks progress. P4 is cosmetic issues, feature requests, and general questions. Plan matters: the same broken feature is P2 for an Enterprise account and P3 for a Free account, because the impact — and your SLA — differ.

Who it's for

How it works

  1. Redact the ticket. Names → [CUSTOMER], emails → [EMAIL], order numbers → [ORDER_ID]. Classification never needs the values — sentiment and category live in the words, not the identity.
  2. Set the plan or tier. Priority is plan-aware, so this field genuinely changes the output. Unknown is an acceptable answer; the prompt handles it conservatively.
  3. Confirm the taxonomy. The seven fixed categories are pre-loaded. If your helpdesk uses different labels, edit the list here — the generator rebuilds the prompt around your list and keeps it closed.
  4. Copy the generated prompt and run it on the ticket in GPT-6.1 / GPT-4o, Claude Sonnet 5.5, or Gemini 4 Argon.
  5. Consume the JSON. Map the fields to your helpdesk: category → queue, priority → SLA clock, escalation_required → senior-agent review queue. Spot-check low-confidence results (below 0.5) by hand — the prompt routes its own uncertainty to you.

The prompt template

PROMPT TEMPLATE 
You are a support triage system. Classify the ticket below into the FIXED taxonomy. Output strict JSON only.

FIXED TAXONOMY — use exactly one of these category values; never invent a new one:
- billing — charges, invoices, refunds, payment failures, plan changes
- bug — something in the product does not work as documented
- how-to — the customer needs guidance to complete a task the product supports
- account access — login, password, permissions, SSO, locked or deactivated accounts
- feature request — the customer asks for a capability the product does not have
- outage — the service is down or degraded for the customer, or from their report for many users
- other — none of the above fits

PRIORITY — assign exactly one:
- P1: service down, data loss, security incident, or an Enterprise customer completely blocked
- P2: a core feature is broken with no workaround, or an Enterprise customer is blocked on an important workflow
- P3: a feature is impaired but a workaround exists, or a how-to question blocks the customer's progress
- P4: cosmetic issues, feature requests, and general questions

CONTEXT:
- Customer plan / tier: [Free / Pro / Enterprise / unknown]
- The ticket (redacted — no names, emails, or order IDs): [paste ticket text]

INSTRUCTIONS:
1. Read the whole ticket before classifying. Classify by what is blocking the customer, not by the first problem mentioned.
2. If the ticket spans two categories, put the blocking problem in "category" and the other in "secondary_category" (or null if there is none).
3. Write "reasoning" first: 2–3 sentences citing the specific words in the ticket that justify the category and the priority.
4. Set "escalation_required" to true if the ticket contains any of: a refund demand or chargeback threat, a security vulnerability report, a legal or data-protection request, signs of an outage affecting multiple customers, a cancellation threat from a paying account, or anything a front-line agent cannot authorise.
5. Rate "confidence" from 0 to 1. If the ticket is too vague to classify, use category "other", set confidence below 0.5, and state what is missing in "reasoning".

NEGATIVE CONSTRAINTS:
- Never output a category outside the fixed taxonomy.
- Never invent product policies, SLA times, or refund rules to justify a priority.
- Never include the customer's personal data in any field — write "the customer", never a name.

OUTPUT FORMAT — strict JSON only. No code fences, no commentary before or after:
{"category": "...", "secondary_category": null, "priority": "P1|P2|P3|P4", "sentiment": "positive|neutral|frustrated|angry", "confidence": 0.0, "reasoning": "...", "escalation_required": false, "escalation_reason": null}
Best model for this: GPT-6.1 — the most reliable strict-JSON, schema-following output of the current roster. GPT-4o is a solid fallback for high-volume queues; Claude Sonnet 5.5 reasons about ambiguous tickets well but needs the "JSON only" instruction enforced.

Worked example

The ticket (as received, before redaction): "Hi, I was charged TWICE this morning for my subscription and now I can't even log in to download the invoice — the page just spins. This is the third time billing has messed something up and I'm seriously considering cancelling. — Marcus, order #8841-2207"

Filled prompt (excerpt): plan "Pro"; ticket pasted with the name replaced by [CUSTOMER] and the order number by [ORDER_ID] — classification loses nothing by the redaction, because the category is in the events, not the identity.

Output (exact JSON returned):

WORKED EXAMPLE / CODE 
{"category": "billing", "secondary_category": "account access", "priority": "P2", "sentiment": "frustrated", "confidence": 0.88, "reasoning": "The customer was charged twice, which is the blocking problem — they cannot reconcile the payment. The login failure is secondary: it prevents them downloading the invoice for a charge that should not exist. A single Pro account is affected and no service outage is reported, so this is P2 rather than P1.", "escalation_required": true, "escalation_reason": "Duplicate charge plus an explicit cancellation threat from a paying account, with a history of repeat billing problems; the refund decision needs a senior agent."}

Three things to notice. The blocking problem won over the first-mentioned one. The priority is plan-aware — the same ticket from an Enterprise account with a company-wide login failure would be P1. And the escalation fired on the combination — duplicate charge plus cancellation threat plus repeat history — even though the category alone would have routed this to the standard billing queue.

Guardrails

Frequently Asked Questions

Practical answers covering model choice, workflow integration, and compliance rules.

Use a small, fixed set that maps to how your team actually routes work. The set built into this generator — billing, bug, how-to, account access, feature request, outage, other — covers the queues most software support teams run. The exact labels matter less than the discipline: the list is closed, every ticket gets exactly one primary category, and the model is never allowed to invent a new label mid-stream. If your helpdesk already has categories, edit them into the generator and keep everything else.

Priority is impact × breadth × plan. P1 is reserved for the worst cases: service down, data loss, a security incident, or an Enterprise customer completely blocked. P3 is the everyday impaired case: something is degraded but a workaround exists, or a how-to question is blocking one customer's progress. The same fault can be either — a broken export is P3 for a Free user with a manual workaround and P2/P1 for an Enterprise account whose whole finance team is blocked at month-end. That is why the prompt takes the customer's plan as an input instead of guessing.

Yes, if anything other than a human will consume it. Routing rules, SLA timers, dashboards, and escalation automations all need fields they can read deterministically — and free-text reasoning cannot be parsed reliably. JSON with a fixed field set (category, priority, sentiment, confidence, reasoning, escalation) is the format helpdesk platforms and automation tools expect. Keep the human-readable reasoning inside the JSON as a field: you get machine-actionable output and an audit trail in the same object.

The triggers in this template: a refund demand or chargeback threat; a security vulnerability report; a legal, privacy, or data-protection request; signs of an outage affecting multiple customers; a cancellation threat from a paying account; and anything a front-line agent is not authorised to resolve. These are the tickets where queue order should not apply — the cost of them waiting behind password resets is measured in churn, compliance deadlines, or public incidents, not minutes.

Yes — explicitly, in this template, and it should in any serious triage scheme. Priority exists to allocate scarce response capacity by impact, and impact is partly contractual: an Enterprise account typically carries an SLA, more affected users per ticket, and work stoppage across a team. The prompt encodes this directly — an Enterprise customer blocked on an important workflow is P2 even with a workaround, where the same issue is P3 for a Free account. If your tiers carry different SLAs, adjust the P-definitions in the generator to match them.

It usually does — real tickets are mixtures. The rule in this template: the blocking problem becomes the primary category, because that is the queue that must act first, and the second problem is recorded in "secondary_category" so nothing is lost. In the worked example above, a duplicate charge with a login failure is classified billing (account access secondary) because the login only matters to the customer as a way to reach the disputed invoice. If neither problem blocks the other, classify by whichever the customer emphasises as urgent, and let the reasoning field explain the call.

Internal links

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