Featured insight
Diagnose before automating support
Automation works best when the operational problem is understood first. Otherwise, it can make poor workflows faster, more complex and harder to see.
Insights
Operational thinking for post-sale leaders.
Practical analysis for Customer Support and Customer Success leaders: what the numbers mean, where operational risk is building and what to do about it.
Point of view
Practical, not generic.
Signals Ops focuses on the operating decisions behind performance: what is changing, why it is happening, what the evidence supports and what teams should do next.
Expect practical analysis of real operational problems rather than generic management advice or trend commentary.
Topics
Topics we write about.
Customer Support Operations
Backlogs, service performance, workflows, capacity and quality.
Customer Success Operations
Health, risk, lifecycle design and operational consistency.
AI & Automation
Where automation helps, where it creates risk and how to measure it.
Zendesk & Service Technology
Workflow design, reporting, governance and platform improvement.
Metrics & Reporting
What measures actually tell you and where they can mislead.
Operating Models
Ownership, structure, processes and how post-sale teams work together.
Latest
Latest insights.
Customer Support Operations
How to Tell Whether Your Support Team Is Understaffed
Learn how to tell whether your support team is understaffed by checking demand, completion, effective capacity and hidden workflow constraints.
Read article →Knowledge Management
Knowledge Base Gap Analysis: How to Use Support Ticket Data
Learn how to use support tickets, searches, reopens and escalations to find knowledge base gaps and turn them into a prioritised action queue.
Read article →AI in Customer Support
Customer Support Automation: What to Automate, What to Assist and What to Leave Alone
Decide which support tasks to automate, assist with AI or keep human-owned using risk, knowledge quality and fallback criteria.
Read article →Insights
More from Signals Ops
Practical writing on Customer Support, Customer Success, AI, service performance and operational improvement.
Customer Onboarding
What Is Time to Value and How Do You Improve It?
Learn what time to value means, how to calculate it, define first value events and remove onboarding friction that delays customer outcomes.
Read article →Customer Success Metrics
Customer Success KPIs Every SaaS Business Should Track
Learn which Customer Success KPIs matter for SaaS teams, what each metric can and cannot tell you, and which decisions they should trigger.
Read article →Customer Health
Customer Health Dashboard: What to Measure and How to Use It
Learn what a customer health dashboard should measure, which views to build and how to turn health signals into accountable customer action.
Read article →Customer Churn
How to Reduce Customer Churn: 15 Practical Strategies for SaaS Companies
Learn how to reduce customer churn with 15 practical SaaS strategies covering onboarding, adoption, support, customer risk and renewals.
Read article →Customer Health
Customer Health Score: How to Build One That Works
Learn how to build a Customer Health Score that reveals risk early, guides action and supports customer retention without hiding behind a number.
Read article →Dealing with a similar operational problem?
If something in your Support or Success operation is not working as it should, Signals Ops can help diagnose the cause and work through what to change.
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