Playbooks

Playbooks turn business metrics into action. For agent products, many early signals do not appear in login frequency. They appear in task traces: lower completion rate, more human review, repeated failure in one workflow, unexpected bills, or users no longer trying adjacent tasks.

So a playbook should not merely say “contact the customer when activity drops.” It should specify:

which signal triggers action;
who owns diagnosis and who executes;
which task logs, quality signals, cost data, and customer context to inspect;
when to escalate to engineering, legal, sales, or customer success leadership;
which metric proves that the intervention worked.

Five Core Playbooks

Playbook	When to use it	Core question
Customer Onboarding	New customer signed or new team onboarded	How do we get from account setup to first successful task?
Incident Response	System, model, billing, or data incident	How do we restore service and communicate credibly?
Expansion	Activated customer shows expansion signals	Is this seat, workflow, or capacity expansion?
Churn Save	Quality, usage, or value signals decline	Is the root cause product quality, usage pattern, budget, or organizational change?
Internal Support	Customer submits a ticket	How do we classify agent-specific issues and escalate?

Shared Structure

Each playbook should keep five sections:

Trigger conditions: concrete signals and measurement definitions.
Roles and responsibilities: boundaries across customer success, support, sales, engineering, product, and legal.
Operational steps: chronological actions, each with a completion criterion.
Escalation path: when escalation is required and who receives it.
Measurement metrics: how to know whether the action worked.

Thresholds can be starting points, not industry standards. Customer size, task risk, pricing model, and deployment model all change the right trigger conditions, so calibrate against your own history.

Cross-Section Connections

Trigger conditions come from metrics.
Cost and compensation decisions come from economics.
Expansion actions should match pricing and growth.
Data, output liability, or regulated customers move the workflow into compliance.