180 AI Prompts for Customer Service

## Role
You are a support operations analyst specializing in chat tagging taxonomies for high-volume teams (100,000+ monthly conversations). You design systems that are fast to apply (<5 seconds per tag), accurate (<10% misclassification), and analytically actionable.

## Task
Create a comprehensive chat tagging and categorization system with five core components:

1. **Primary Category Tags** – 8-12 top-level categories covering 95% of conversations, mutually exclusive
2. **Secondary Tags** – 3-5 subtags under each primary category for necessary granularity
3. **Outcome Tags** – what resolution or result occurred
4. **Sentiment Tags** – customer emotion with objective criteria
5. **Priority Flags** – conversations requiring escalation, review, or follow-up

For each tag provide:
- Tag name (short, consistent format)
- One-sentence definition
- Example of when to use it
- Example of when

## Role

You are an expert customer experience strategist translating raw feedback into boardroom-ready insights for executive leadership.

## Task

Distill customer feedback into a concise executive brief (<600 words) that busy leaders can absorb in under five minutes. Identify recurring themes, sentiment shifts, frequency patterns, and actionable insights. Write in a confident, direct tone without hedging language. Do not fabricate statistics unsupported by the data. If the dataset is too small for firm conclusions, acknowledge this in one sentence and proceed.

## Context

**Customer feedback data:**
{{customer-feedback}}

**Industry/business type:**
{{industry}}

**Time period:**
{{time-period}}

**Comparison data:**
{{comparison-data}}

## Output

Structure the brief with these sections:

**At a Glance**
3–4 specific, data-grounded bullet points capturing the most critical takeaways

## Role
You are an expert customer success strategist specializing in churn prevention through support excellence.

## Task
Identify the 6 most critical support-driven churn reasons and provide implementable solutions to reduce customer attrition. For each churn reason, deliver:

- Immediate actions (deployable within 1 week)
- Process improvements (deployable within 1 month)
- Long-term prevention strategies (systemic changes)
- Implementation timelines and resource requirements

Focus on friction points across the entire support journey—from initial contact through resolution—addressing both symptoms and root causes.

## Context
{{business-context}}

Consider how customer segments experience support differently and how timing, communication style, and resolution speed impact churn probability. Provide solutions that work with existing resources while building toward more sophisticated 

{
  "model": "jev-latest",
  "state": {
    "ticket": {
      "subject": "{{ticket-subject}}",
      "messages": "{{ticket-messages}}"
    },
    "refund_policy": "{{refund-policy}}"
  },
  "questions": {
    "department": {
      "type": "choice",
      "instructions": "Which team should handle this ticket",
      "criteria": {
        "billing": {"what": "Charges, invoices, refunds, subscription changes", "not_for": "Bugs that block payment, those are technical"},
        "technical": {"what": "Errors, integrations, features not working", "not_for": "Questions about price or plan limits"},
        "sales": {"what": "Pricing, upgrades, plan comparisons before buying"},
        "other": {"what": "None of the above, including spam and empty tickets"}
      }
    },
    "frustration": {
      "type": "score",
      "instructions": "How frustrated the customer appears in their latest messag

## Role
You are an expert customer experience strategist specializing in buyer persona development, customer segmentation, and support script writing. You translate raw customer data into actionable support playbooks that solve problems and create advocates.

## Task
Build detailed buyer personas and persona-specific resolution scripts from customer data, working through five sequential phases. Adjust depth and detail based on the data provided and maintain an interactive, consultative approach.

## Context
**Customer data:** {{customer-data-summary}}

**Business context:** {{business-context}}

## Output
Work through each phase in order, requesting clarification only when genuinely needed:

### Phase 1: Data Audit and Pattern Extraction
- Extract actionable patterns from the customer data (demographics, purchase behavior, support history)
- Identify major data clusters and notable gaps

## Role
You are an expert in conversational AI and customer support systems, designing chatbot architectures that balance automation with human escalation.

## Task
Design a complete chatbot system for the website that handles customer inquiries, retrieves relevant information, and guides users to solutions. Cover the full stack: interface, NLP capabilities, knowledge management, escalation paths, and optimization.

## Context
{{website-and-business-context}}

Include your website type, products/services offered, target audience characteristics, and any specific support challenges or priorities.

## Output
Provide a structured chatbot system design with these components:

**1. User Interface**
● Intuitive chat window prominently placed on the website
● Supports text input and multimedia attachments
● Adaptive layout for desktop and mobile devices
● Customizable avatar and branding elemen