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 Success Operations
Digital Customer Success: Where Automation Helps and Where It Fails
Learn where digital Customer Success automation works, where human escalation is needed, and how to tell whether customers are progressing.
Read article →Post-sale Operations
Customer Success Handoffs: Fixing the Gaps Between Sales, Onboarding and Support
Design customer success handoffs around ownership, evidence, acceptance checks and escalation rules across Sales, Onboarding and Support.
Read article →Customer Support Operations
Why Is My Support Backlog Growing? A Diagnostic Playbook
Diagnose why your support backlog is growing, test four flow movements, choose the right corrective action and monitor it without harming resolution quality.
Read article →Customer Support Operations
Customer Support Backlog: How to Measure, Diagnose and Reduce It
Learn how to define, measure, diagnose and reduce a customer support backlog without hiding risk or lowering resolution quality.
Read article →Customer Support Operations
Customer Support Metrics: The Complete Guide for Support Leaders
Learn which customer support metrics matter, how to calculate them, what they hide, and how support leaders can turn them into action.
Read article →Customer Success Operations
Backlog Health Scoring: Why One Score Is Not Enough
Learn how to assess backlog health across volume, age, severity, ownership, flow and outcome impact, without hiding critical risk inside one overall score.
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.
Book an initial conversation