What a Support Playbook Includes
A complete playbook covers six areas:
1. Team Structure and Roles
Define who does what:
- Support agents — Handle frontline customer conversations. Define their scope, authority (what they can do without approval), and escalation paths.
- Senior agents / leads — Handle escalated issues, review AI performance, mentor junior agents. Define what constitutes an escalation and the expected response time.
- Support manager — Owns metrics, hiring, training, and process improvement. Define reporting cadence and key decision authority.
- Knowledge manager — Maintains the knowledge base and AI training content. Define the review cycle and gap-filling process.
2. Communication Standards
Define the voice and tone your team uses:
Tone principles:
- Professional but not stiff
- Empathetic but not over-the-top
- Direct but not curt
- Honest, especially about limitations
Response structure:
- Acknowledge the customer's situation
- Provide the answer or solution
- Offer additional help or next steps
- Close warmly
Language guidelines:
- Use the customer's name
- Avoid jargon unless the customer used it first
- Write in short paragraphs (2-3 sentences max in chat, 3-4 in email)
- Use active voice ("I will investigate this" not "This will be investigated")
3. Process Workflows
Document the step-by-step process for each common scenario:
New ticket workflow:
- Ticket arrives in inbox
- AI auto-categorizes and assigns priority based on SLA
- If AI can handle: auto-response with answer
- If AI escalates: routed to available agent based on category and expertise
- Agent reviews AI context, conversation history, and customer information
- Agent responds within SLA target
- Conversation marked resolved when issue is fixed and customer confirms
Escalation workflow:
- Agent identifies issue beyond their scope or authority
- Agent adds internal note explaining the situation and what they have tried
- Agent assigns to appropriate team (senior agent, engineering, billing)
- Escalation target responds within internal SLA
- Original agent communicates resolution to customer
Bug report workflow:
- Agent confirms the behavior is a bug (not user error or expected behavior)
- Agent gathers reproduction steps, environment details, and screenshots
- Agent creates a bug ticket in the engineering tracker with full details
- Agent communicates expected timeline to customer
- Agent follows up when bug is fixed
4. Policy Reference
Document every customer-facing policy your agents need to enforce:
- Refund policy — Under what conditions, what amounts, approval requirements
- Discount policy — When agents can offer discounts, maximum amounts, approval requirements
- SLA commitments — Response time and resolution time targets by customer tier
- Data handling — What customer data agents can access, share, or modify
- Escalation authority — What issues require manager approval
For each policy, include the rule, examples of common edge cases, and who to ask when the situation falls outside documented guidelines.
5. Tool Guides
Document how to use each tool in your support stack:
- Corebee inbox — How to manage conversations, use AI suggestions, apply tags, assign tickets
- Knowledge base — How to search, create articles, flag gaps
- CRM integration — How to access customer context, update records
- Internal communication — When to use Slack, when to use internal notes, when to use email
Include screenshots, keyboard shortcuts, and tips for efficiency. New agents should be able to learn the tools entirely from the playbook.
6. Metrics and Goals
Define what success looks like:
| Metric | Target | Review Cadence |
|---|---|---|
| First response time | < 4 hours | Daily |
| CSAT score | > 85% | Weekly |
| Auto-resolution rate | > 65% | Weekly |
| First contact resolution | > 75% | Monthly |
| Ticket backlog | < 20 tickets | Daily |
Include how each metric is calculated, where to find it, and what to do when a metric is trending in the wrong direction.
Building the Playbook: Step by Step
Step 1: Audit Your Current State
Before documenting anything, observe your current operation:
- Shadow agents for a day. Note how they handle different scenarios.
- Review your last 100 tickets. What categories do they fall into?
- Interview agents. What situations do they find unclear or inconsistent?
- Check your existing documentation. What exists, what is outdated, what is missing?
Step 2: Document the Top 20 Scenarios
Start with the 20 most common customer scenarios. For each, write:
- Scenario name — E.g., "Customer requests a refund"
- Frequency — How often this happens (daily, weekly, monthly)
- Process — Step-by-step instructions
- Decision tree — If/then logic for variations
- Example responses — Templates the agent can adapt
- Edge cases — Unusual variations and how to handle them
Do not try to document everything at once. The top 20 scenarios cover 80% of ticket volume.
Key insight: Start with just the 20 most common customer scenarios. This covers the vast majority of ticket volume and gives your team an immediately useful resource.
Step 3: Write Communication Templates
Create response templates for common scenarios. Templates are not scripts — they are starting points that agents customize. A good template:
- Handles the most common version of the scenario
- Has clear placeholders for personalization [Customer Name], [Specific Detail]
- Includes the right tone and structure
- Can be adapted in 30 seconds for minor variations
Step 4: Define Escalation Paths
Map every escalation path clearly:
| Situation | Escalate To | Method | Expected Response Time |
|---|---|---|---|
| Technical bug | Engineering team | Jira ticket + Slack alert | 4 hours |
| Billing dispute > $100 | Support manager | Internal note + direct message | 1 hour |
| Security concern | Security team | Urgent email + Slack | 30 minutes |
| Feature request | Product team | Feedback tracker | N/A (logged, not responded) |
Step 5: Review and Iterate
Share the draft playbook with your entire team. Get feedback on accuracy, completeness, and usability. The best playbooks are written collaboratively — agents know the edge cases and practical realities that managers might miss.
Schedule quarterly playbook reviews. Products change, policies change, and new scenarios emerge. A stale playbook is almost as bad as no playbook.
Key insight: Involve agents in creating and reviewing the playbook. They know the edge cases and practical realities that managers often miss.
Making the Playbook Usable
A 50-page document that no one reads is not a playbook — it is shelf-ware. Make yours usable:
- Searchable — Host it in a tool with search functionality (Notion, Confluence, or your knowledge base)
- Linked from the inbox — Agents should be able to access relevant playbook sections without leaving their support tool
- Updated regularly — Assign an owner responsible for keeping it current
- Referenced in training — New agent onboarding should walk through the playbook section by section
- Short sections — Each section should answer one question. No agent should need to read 10 pages to find the answer to "What is our refund policy?"
A support playbook is not a one-time project — it is a living document that evolves with your team. Start with the essentials, get it in your team's hands, and improve it continuously based on what your agents need. The goal is a resource so useful that your team opens it voluntarily, not one they are forced to read during onboarding and never touch again.
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