Services

Operational consulting for post-sale teams.

Start with diagnosis, move into implementation where needed, or bring in experienced operational support over a longer period.

Ways to work together

Diagnose, implement or support.

Diagnose → Implement → Support. The service areas explain what Signals Ops works on. These three routes explain how clients usually engage the work.

Implementation capability

Operational consultant who can implement.

Signals Ops combines operational diagnosis with hands-on implementation across platforms such as Zendesk, n8n, CRM systems, internal databases and AI services.

This can include workflow design, ticket classification, system integrations, customer or order lookups, knowledge retrieval, response recommendations, human-review controls, data enrichment and automated actions.

The technology is selected around the operating problem. The objective is not simply to build an automation, but to make sure it is accurate, controlled, measurable and useful to the team running the service.

Customer Support Operations

Improve the design, ownership and performance of your support operation.

The problem: Support teams can become slower, busier and harder to manage even when the metrics look comprehensive.

What Signals Ops does: Signals Ops reviews demand, workflows, routing, escalation, capacity, quality, knowledge and reporting to identify where performance is being constrained.

Typical areas of work

  • Operating model reviews
  • Workflow and ticket lifecycle design
  • Routing, triage and escalation
  • Backlog and demand analysis
  • Capacity and workload assessment
  • Service level improvement
  • Quality assurance
  • Knowledge management
  • Reporting and governance

Typical outputs

  • Current-state assessment
  • Root-cause findings
  • Prioritised improvement plan
  • Workflow and ownership recommendations
  • Implementation support

Potential outcomes

  • Clearer ownership and escalation
  • Better understanding of what is driving backlog
  • Reduced avoidable manual work
  • More useful operational reporting
  • More consistent service delivery

Who it is for

Heads of Support, Support Operations leaders, CX leaders and COOs responsible for service performance.

Customer Success Operations

Create more consistent, scalable and measurable ways of working across Customer Success.

The problem: Customer Success teams often grow around individual working styles, making risk, capacity and outcomes difficult to manage.

What Signals Ops does: Signals Ops helps design lifecycle processes, service models, health signals, governance and reporting that support practical customer decisions.

Typical areas of work

  • Customer lifecycle design
  • Segmentation and service models
  • Health scoring
  • Risk and opportunity identification
  • Onboarding and adoption processes
  • Renewal and escalation workflows
  • Success planning
  • Portfolio design
  • Alignment with Support, Product and Revenue

Typical outputs

  • Lifecycle and service model recommendations
  • Risk and health-score review
  • Operating cadence design
  • Reporting improvements
  • Implementation roadmap

Potential outcomes

  • Earlier identification of customer risk
  • More consistent customer management
  • Clearer ownership across the lifecycle
  • Better segmentation and capacity planning
  • Improved alignment between Support and Success

Who it is for

Customer Success leaders, Revenue Operations partners, founders and teams moving from founder-led to scalable customer management.

AI and Automation

Identify what should be automated, what should not, and how to control the risk.

The problem: Automation can create speed and capacity, but it can also hide quality problems or create new operational risk.

What Signals Ops does: Signals Ops assesses automation opportunities, readiness, controls, quality testing and the operating model needed to use the capacity created. It can also design and implement operational workflows connecting platforms such as Zendesk, n8n, CRM systems, internal databases and AI services.

Typical areas of work

  • Automation opportunity assessments
  • AI readiness reviews
  • Responsible automation design
  • Ticket classification and routing
  • Suggested-response workflows
  • Knowledge retrieval
  • Human review controls
  • Quality and safety testing
  • Automation governance

Typical outputs

  • Automation suitability map
  • Risk and control recommendations
  • Testing plan
  • Measurement framework
  • Operating recommendations for released capacity

Potential outcomes

  • Less repetitive manual work
  • Safer and more controlled automation
  • Greater confidence about what can be automated
  • Better human-review processes
  • Clear measurement of automation performance

Who it is for

Support, Success and Operations leaders considering AI or trying to improve automation already in place.

Zendesk and Service Technology

Simplify the platform so it supports the operation rather than adding complexity.

The problem: Zendesk and other service platforms often accumulate fields, views, triggers and reports that no longer match the way the operation needs to work.

What Signals Ops does: Signals Ops reviews configuration through an operational lens, focusing on workflow design, governance, reporting and practical outcomes.

Typical areas of work

  • Zendesk configuration reviews
  • Triggers, automations and macros
  • Forms and ticket fields
  • Views and routing
  • Reporting structures
  • AI workflows
  • Integration design
  • Governance and documentation
  • Migration and change planning

Typical outputs

  • Configuration review
  • Clean-up plan
  • Workflow and reporting design
  • Governance recommendations
  • Change plan

Potential outcomes

  • Simpler workflows
  • Better routing and ownership
  • Reduced platform complexity
  • More reliable reporting
  • Technology that reflects how the operation actually works

Who it is for

Zendesk owners, Support Operations managers and leaders who need their service technology to reflect operational priorities.

Operational Reviews and Diagnostics

Find the causes of performance issues and prioritise what to fix first.

The problem: A growing backlog, worsening response time or noisy dashboard rarely has one simple cause.

What Signals Ops does: Signals Ops combines data, workflow evidence, system configuration and stakeholder experience to separate symptoms from root causes.

Typical areas of work

  • Current-state assessment
  • Data and metric review
  • Process and workflow analysis
  • Risk identification
  • Root-cause findings
  • Prioritised recommendations
  • Implementation roadmap
  • Leadership readout

Typical outputs

  • Diagnostic report
  • Evidence summary
  • Risk register
  • Prioritised roadmap
  • Leadership readout

Potential outcomes

  • Clearer root-cause understanding
  • Better prioritisation of improvement work
  • Reduced noise around competing metrics
  • More practical operational decision-making

Who it is for

Senior leaders who need a clearer view of what is holding the operation back before investing in change.

Not sure where the problem sits?

Start with a conversation about what is happening, what you have already tried and where you need greater clarity. We can help determine whether you need a focused diagnostic, implementation support or ongoing operational advice.

Book an initial conversation