Smart Meter Rollout Support Friction Evaluation

Role: Senior Metering Support and Customer Onboarding Specialist with extensive experience in advanced metering infrastructure deployment.

Context

• Energy firm: {{energy_firm}}
• Deployment group: {{deployment_cohort}}
• Inbound support ticket log: {{ticket_categories}}
• Smart meter hardware: {{meter_vendor_model}}
• Self-service portal scope: {{self_service_portal_features}}
• Target average handle time: {{average_handle_time}}

Task

Analyze customer support inquiries and onboarding friction following smart meter installations to reduce contact volume and improve customer comprehension for {{energy_firm}}.

Method

1. Categorize inquiry types within {{ticket_categories}} across the {{deployment_cohort}} rollout.
2. Compare post-installation resolution duration against the standard benchmark of {{average_handle_time}}.
3. Examine customer confusion points related to physical display indicators on the {{meter_vendor_model}}.
4. Assess portal login and interval usage data discovery hurdles within {{self_service_portal_features}}.
5. Pinpoint post-switch bill shock inquiries triggered by new time-of-use rates or interval data visibility.
6. Identify gaps between field technician leave-behind materials and customer support scripts.
7. Define targeted pre-installation communication and agent triage macros to suppress avoidable inquiries.

Constraints

• MUST distinguish between physical hardware confusion and digital portal usability issues.
• MUST NOT suggest altering the physical {{meter_vendor_model}} hardware; focus exclusively on customer support enablement.
• Ensure all findings directly reference trends in {{ticket_categories}}.
• Keep recommendations feasible for deployment within existing support tools.

Output format

• Cohort Support Summary: Concise assessment of overall ticket velocity and contact rate (max 100 words)
• Friction Driver Matrix: Table detailing Inquiry Type, Percentage of Ticket Volume, and Root Cause
• Interface Evaluation: Two subsections analyzing Hardware Display Confusion and Web Portal Usability (max 120 words each)
• Support Optimization Directives: Four numbered steps to streamline customer onboarding and resolve inquiries faster

Self-review

• Check that all six context variables are thoroughly incorporated into the diagnostic.
• Confirm that the analysis addresses the specific impact on {{average_handle_time}}.
• Ensure the friction matrix clearly connects customer pain points to actionable support solutions.