AI Insights
    • 09 Jan 2024
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    AI Insights

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    Article Summary

    AI Admins can receive weekly AI Insights emails (when SysAid Copilot is enabled).

    AI Insights emails provide concise summaries (AI-generated) of key performance indicators (KPIs) and actionable insights, ensuring efficient data analysis without the need for manual report generation.

    This document explains the content of the AI Insights email and its value for AI Admins looking to leverage generative AI capabilities for more impactful data analysis and educated decisions for improving performance.

    The weekly AI Insights Email includes:

    • Key Performance Metrics

    • Dynamic Insights

    • Active Tickets Breakdown

    Weekly Delivery Schedule

    AI Admins receive this weekly email every Monday morning in their respective time zone.

    This email equips recipients with comprehensive insights into their previous week's cumulative performance and strategic action items to enhance future performance for the upcoming work week.

    AI-Generated Content Disclaimer

    AI Insights are generated solely from KPI values; none of your data or Personally Identifiable Information (PII) is used to generate the report

    Your Weekly Summary

    The “Your Weekly Summary” section measures the following metrics (by percentage) — within a Week-over-Two Weeks time frame.

    Performance Summary

    Metric

    Definition

    Data Frequency

    MTTR (in days)

    Total number of Closed Tickets (relevant to MTTR)

    Weekly (Static)

    User Satisfaction Score

    Response Rate
    (Number of Closed Tickets with a response)

    % of Surveys answered (Example)

    # of Surveys answered

    Dynamic per Week (AI-generated selection)

    % of Tickets received from the
    Self-Service Portal (Example)

    # of Tickets received through the Self-Service Portal

    Dynamic Metrics

    “Well Done, Keep Crushing IT”

    These AI Insights identify and elaborate on a KPI you’re doing well at.

    This metric is a comparison (by percentage) of the successful KPI’s progress, comparing its performance to:

    • Last week’s value

    • Value the week before

    • Benchmark

    Insights

    This section’s KPI Insights elaborate on:

    • What the improvement percentages represent

    • What the performance increase indicates about the activity impacting the KPI

    • How the current performance relates to the benchmark

    Benchmark KPI Collection

    • SysAid Benchmark Data is based on over 200 customers with over 2 million Service Records.

    • Learn more about these KPIs in the Service Management KPI and Benchmark Forum on our Community


    “Now, let’s improve this KPI”


    These AI Insights identify and suggest improvements for a KPI you could improve.

    This metric is a comparison (by percentage) of the KPI’s progress, comparing its performance to:

    • Last week’s value

    • Value the week before

    • Benchmark

    Insights

    This section’s KPI Insights elaborate on:

    • What the decrease in performance represents

    • How the current performance rate compares to the benchmark

    • Potential causes behind the decrease in performance

    Suggestions and Predictions for the next 7 days

    Suggestions

    This section discusses the KPI you can improve, suggesting:

    • Definitive actions to take to improve the KPI, and how to execute them

    • The goals and results that these actions could potentially achieve

    Prediction

    This section predicts and describes:

    • An increase in percentage for your KPI’s performance

    • How that figure compares to the benchmark

    • How the suggested improvements will allow the KPI performance percentage to increase

    Active Tickets Breakdown

    This segment categorizes and measures (by percentage) the AI Admin's Active Tickets based on various criteria:

    Active Tickets by Percentage

    Metric

    Definition

    Incident Ratio

    Ratio between number of Active Incident Tickets compared to number of Active Incident & Request Tickets

    Open for 1-5 days

    Active Tickets that remained open for 1-5 days

    Open for 5+ days

    Active Tickets that remained open for 5+ days

    Overdue

    % of Active Overdue Tickets within all Active Tickets

    No Due Date

    % of Active Tickets without a Due Date, within all Active Tickets

    Ticket Handoffs

    % of Active Tickets that have been assigned to more than one Admin, within all Active Tickets