support-analytics

Convert raw ticket data into CSAT, NPS, FCR, and resolution-time metrics.

207|31|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/AbsolutelySkilled/AbsolutelySkilled --skill support-analytics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: support-analytics
Source: https://github.com/AbsolutelySkilled/AbsolutelySkilled/tree/main/skills/support-analytics
Command: npx skills add https://github.com/AbsolutelySkilled/AbsolutelySkilled --skill support-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Measuring and turning customer-support data into actionable insights that drive decisions and improvements across CSAT, NPS, resolution time, and deflection.

Core Features & Use Cases

  • Converts raw ticket data into decision-ready metrics (CSAT, NPS, FCR, resolution time, deflection).
  • Supports segmentation by channel, product area, and customer tier; builds dashboards and alerts for executives, managers, and agents.
  • Use cases include tracking trends, building support dashboards, and running targeted improvement programs across multi-channel support.

Quick Start

Connect your ticket data and run a CSAT, NPS, and resolution-time analysis to start gaining insights.

Frequently Asked Questions about support-analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn raw support ticket data into actionable CSAT and NPS insights?

You can build support dashboards by segmenting metrics like CSAT, NPS, FCR, and resolution time across channels, product areas, and customer tiers. This creates tailored visualizations and alerts for executives, managers, and agents to track trends effectively.

How do I set up alerts for support metrics like CSAT and resolution time?

Support analytics enables alerting on metrics like CSAT and resolution time by establishing KPI ownership and thresholds. This ensures support managers receive immediate notifications when customer satisfaction or resolution speeds drop below defined targets.

What is the best way to track support trends across different customer tiers?

The best way to track support trends is by segmenting ticket data by customer tier and channel, then visualizing metrics like CSAT and deflection on dedicated dashboards. This approach highlights specific product areas needing targeted improvement programs.

Are there limitations when analyzing support metrics without clear FCR definitions?

Without clear First Contact Resolution definitions, support analytics cannot accurately measure resolution time or deflection. Lacking these foundational metric concepts limits the ability to generate reliable dashboards and actionable insights from raw ticket data.