Where is customer friction actually created?
Trace visible customer problems through the teams, systems, policies, handoffs, and decisions that produce or compound them.
Diagnostic 01
The CX Systems Diagnostic traces recurring customer friction through workflows, ownership, CRM signals, service rules, and cross-functional handoffs so the organization can decide what to change first.
Questions answered
The diagnostic does not begin with a platform recommendation or a generic maturity score. It begins with the customer problem and follows the evidence until the organization can name its most useful next move.
Trace visible customer problems through the teams, systems, policies, handoffs, and decisions that produce or compound them.
Separate isolated inconvenience from recurring friction that affects service quality, retention, revenue, capacity, or trust.
Identify unclear decision rights, competing accountabilities, and handoffs where context or urgency degrades.
Prioritize the smallest useful sequence of workflow, data, ownership, and system changes before funding a larger program.
Scope and evidence
The exact evidence depends on the problem and what the organization can responsibly provide. Cadence Lab uses available sources to test patterns, compare intended and actual work, and state where evidence remains weak.
Complaints, escalation patterns, contact reasons, feedback, service exceptions, renewal concerns, and other available indicators of recurring friction.
The actual path work follows across teams, including queues, approvals, transfers, workarounds, delays, and points where context is lost.
Accountabilities, decision rights, escalation authority, service rules, competing priorities, and the gaps between formal and practical ownership.
Fields, records, automation, routing, reporting, knowledge sources, system boundaries, and the signals teams can or cannot trust during customer work.
How teams interpret policy, use tools, recover from exceptions, coordinate informally, and adapt when the intended process does not support the work.
Current performance measures, missing indicators, reporting cadence, and whether available metrics reveal outcomes or only completed activity.
Deliverables and decisions
The deliverables are designed to support decisions, not to create a shelf of disconnected findings. Each output clarifies what the evidence means and what the organization should do with it.
A shared view of the customer problem across touchpoints, teams, systems, decisions, and operational dependencies.
Supports the decisionWhere the organization should focus instead of treating each symptom as a separate issue.
A clear account of where ownership is missing, duplicated, delayed, or separated from the authority needed to act.
Supports the decisionWhich roles, decision rights, and handoffs must change for the operating model to work.
A bounded set of findings ranked by customer consequence, operating effect, evidence strength, and practical dependency.
Supports the decisionWhich issues warrant action now, which require more evidence, and which should not lead the work.
A recommended order for workflow, ownership, data, measurement, and appropriate technology changes.
Supports the decisionWhat to do next, who must participate, and what conditions should exist before implementation expands.
Engagement fit
A useful diagnostic needs access to the people and evidence surrounding the work. It also needs permission to challenge assumptions about where the problem sits and what kind of change it requires.
Strong fit
Limited fit