trend-analysis

Analyze ServiceNow incident data to identify trends, category shifts, and seasonal patterns.

34|13|Updated Feb 6, 2026

Search Tags:#analytics #forecast #capacity #trend #itsm #servicenow #seasonality

Ready to run

npx skills add https://github.com/Happy-Technologies-LLC/happy-servicenow-skills --skill trend-analysis-happy-technologies-llc

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: trend-analysis
Source: https://github.com/Happy-Technologies-LLC/happy-servicenow-skills/tree/main/skills/reporting/trend-analysis
Command: npx skills add https://github.com/Happy-Technologies-LLC/happy-servicenow-skills --skill trend-analysis-happy-technologies-llc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes ITSM data to reveal trends, patterns, and predictive indicators that help teams forecast volume, plan capacity, and identify emerging issues.

Core Features & Use Cases

Trend analysis across incident volumes by time period (daily, weekly, monthly), category distribution, seasonal patterns, and predictive indicators.
Capacity planning and resource forecasting based on historical ITSM data from ServiceNow.
Anomaly detection and insights generation to drive proactive improvements.

Quick Start

Run a trend analysis on the last 90 days of incident data and report the key metrics.

Frequently Asked Questions about trend-analysis

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

FAQPage Schema

How do I identify seasonal patterns and incident volume trends in ServiceNow data?▼

ITSM incident trend analysis identifies and quantifies seasonal patterns, category shifts, and volume trends from ServiceNow data by applying time-series analysis to generate trend reports and anomaly detection guidance.

What is the minimum data history needed for accurate ITSM capacity forecasting?▼

ITSM capacity forecasting requires a minimum of 90 days of historical incident data from ServiceNow to accurately generate capacity forecasts, quantify predictive indicators, and identify emerging issues.

How do I run a trend analysis on ServiceNow incidents using MCP tools?▼

Trend analysis runs on ServiceNow incident data using MCP tools including SN-Query-Table, SN-NL-Search, and SN-Execute-Background-Script to query datasets and apply time-series analysis for capacity planning and anomaly detection.

Can I detect ITSM incident category shifts and anomalies across daily and weekly time periods?▼

Anomaly detection and trend analysis quantify incident category shifts across daily, weekly, and monthly time periods, revealing seasonal patterns and predictive indicators to drive proactive ITSM improvements.

Does this trend analysis skill work without any external dependencies or components?▼

The trend analysis skill operates with zero dependencies and no component requirements, relying entirely on ServiceNow REST endpoints and integrated MCP tools to execute time-series analyses on historical ITSM data.

What's the best way to forecast ITSM resource capacity based on historical ServiceNow incident data?▼

ITSM capacity planning and resource forecasting apply time-series analysis to 90+ days of historical ServiceNow incident data, generating trend reports that highlight predictive indicators and seasonal volume patterns.