Customer Centric Claims Management Training Course

Participants can establish communication standards that give customers clear ownership, progress visibility and realistic expectations.

• First-notice-of-loss standards for acknowledgement, ownership, expectations and next actions
• Plain-language correspondence tested with readability, action clarity and timing
• SPIKES-informed conversations for distressing loss, injury and bereavement notifications
• Communication cadence matched to claim complexity, anxiety and decision milestones
• Channel choice rules for phone, secure messaging, email and letters
• Translation, accessibility and reasonable-adjustment controls for customers needing support

Participants can apply fair-treatment controls when assessing claims involving vulnerability, uncertainty and discretionary judgement.

• Fair-treatment principles translated into eligibility, evidence and settlement decisions
• Vulnerability indicators recorded without intrusive questioning or discriminatory assumptions
• Bias interruption techniques applied to credibility assessments and fraud referrals
• Reason codes documented for partial settlement, declinature and claim closure
• Escalation routes for safeguarding, complaints, legal risk and financial hardship
• File-note standards separating facts, customer statements, evidence and judgement

Participants can design intake and triage controls that balance urgency, customer need, fraud risk and workload.

• First notice triage using severity, vulnerability, fraud and service-risk criteria
• Minimum viable evidence requests preventing repeat contact and unnecessary delay
• Ownership rules assigning named handlers, deputies and escalation authority
• Service-level targets differentiated by claim complexity and customer impact
• Queue design balancing aged cases, urgent needs and equitable treatment
• Callback commitments controlled through case-management tasks and audit trails

Participants can communicate and quality-check claims decisions using evidence, rationale, fair-treatment and documentation criteria.

• Coverage and liability decisions explained through evidence, policy terms and rationale
• Structured decision records distinguishing verified facts, assumptions and outstanding evidence
• Settlement options compared for timeliness, suitability, cost and customer control
• Authority matrices governing goodwill payments, exceptions and ex gratia settlements
• Denial letters constructed with reasons, remedies, deadlines and appeal routes
• Quality assurance sampling tests accuracy, fairness, empathy and documentation

Participants can resolve claims complaints fairly and convert complaint evidence into service-control improvements.

• ISO 10002 complaint-handling stages aligned with claims escalation procedures
• Complaint taxonomy separates delay, communication, decision, conduct and payment causes
• Service recovery methods combine acknowledgement, apology, correction and proportionate redress
• Root-cause analysis uses five whys and fishbone cause categories
• Deadlock and external-review referrals managed with complete case records
• Learning loops convert upheld complaints into process-control improvements

Participants can assess digital claims processes and automation choices against customer effort, fairness and control requirements.

• Digital claims journeys designed around progress visibility, document status and choice
• Automation suitability assessed through decision risk, explainability and exception rates
• Human handoff triggers protect customers facing complexity, distress or exclusion
• Consent and data-minimisation practices govern evidence capture and sharing
• Fraud controls calibrated to reduce friction for legitimate claimants
• Omnichannel records preserve context when customers switch contact channels

Participants can measure claims performance using customer, operational, quality and conduct indicators.

• Balanced scorecards combine cycle time, first-contact resolution, quality and fairness
• Customer Effort Score surveys timed after meaningful claims interactions
• Journey analytics identify repeat contacts, transfers, rework and abandonment
• Control charts distinguish common-cause variation from special-cause deterioration
• Quality calibration sessions align assessors on evidence, judgement and scoring
• Dashboard narratives connect operational measures to customer harm and remediation

Participants can strengthen claims team capability, accountability and escalation discipline around customer outcomes.

• Caseload segmentation matches handler capability, authority and emotional-demand exposure
• Coaching observations assess listening, expectation setting, empathy and ownership
• Knowledge articles structured for accurate, consistent and plain-language responses
• RACI matrices clarify responsibilities across claims, complaints, fraud and legal
• Workforce triggers identify backlog risk, skill gaps and supervisory intervention
• Psychological safety supports escalation of errors, uncertainty and customer harm

Participants can prioritise claims service improvements and prepare an accountable implementation plan.

• Customer-centred claims diagnostic scores journey pain points and control weaknesses
• Prioritisation matrix ranks improvements by customer impact, feasibility and risk
• Thirty-sixty-ninety-day action plans assign owners, measures and review dates
• Pilot charters define hypotheses, scope, safeguards and success measures
• Benefits tracking links reduced effort to repeat contact and complaint outcomes
• Governance reviews test implementation evidence, unintended effects and corrective actions