KPIs (Key Performance Indicators) are measurable values that show how effectively your IT service organization is achieving its objectives. Good KPIs are actionable, tied to business / service outcomes, and lead to decisions: improve staffing, change process, automate, or escalate to leadership.

Below are the most important KPIs you should track. Each entry includes: definition, formula, recommended target (typical), and a short example.

Note: Recommended targets vary by industry, SLA and customer expectations. Use historical baselines and then set improvement goals (e.g., reduce MTTR by 20% in 6 months, raise CSAT to 90%).

• Source of truth: Service Desk tool (Jira Service Desk, ServiceNow, Freshservice) for ticket data; APM & monitoring for availability and MTBF.
• ETL: Export daily aggregates to a data warehouse (or DB table) — compute KPIs in SQL or via reporting engine.
• Event timestamps: Store created_at, first_response_at, resolved_at, reopened_at, change_implemented_at, etc. — these are needed to compute MTTA, MTTR, reopen rate.
• Surveys: Integrate CSAT/NPS/CES after ticket close; tie each survey to ticket_id to allow correlation.
• Dashboards & Alerts: Visualize trending KPIs; alert on SLA breach spikes, MTTR growth or change-related incidents.

<?php
// Example: compute MTTR, MTTA, SLA compliance from arrays / DB
function compute_kpis(array $tickets) {
    $closed = array_filter($tickets, fn($t)=>isset($t['resolved_at']));
    $closed_count = count($closed);
    $total_resolution = 0;
    $total_response = 0;
    $sla_breaches = 0;
    foreach($closed as $t) {
        $resMin = (strtotime($t['resolved_at']) - strtotime($t['created_at'])) / 60;
        $respMin = (isset($t['first_response_at']) ? (strtotime($t['first_response_at'])-strtotime($t['created_at']))/60 : 0);
        $total_resolution += $resMin;
        $total_response += $respMin;
        if(isset($t['sla_violation']) && $t['sla_violation']) $sla_breaches++;
    }
    $mttr = $closed_count?($total_resolution/$closed_count):null;
    $mtta = $closed_count?($total_response/$closed_count):null;
    $sla = count($tickets)?((count($tickets)-$sla_breaches)/count($tickets))*100:null;
    return ['mttr'=>$mttr,'mtta'=>$mtta,'sla'=>$sla];
}
?>

Use this pattern but read tickets from your database instead of arrays; group results by priority, service, or team for deeper insights.

Reports translate KPIs into decisions. Below are recommended report types, contents and an example template.

1) Project Status Report (weekly)

• Purpose: Show current status of ITSM projects (tool rollouts, major changes, migration).
• Contents: Overall status (Green/Amber/Red), summary, scope, milestones, risks, blockers, KPI impacts (e.g., how MTTR will change post-deployment), action items & owners.
• Template fields: Project name, sponsor, start/end date, %complete, last milestone done, next milestone, top 3 risks, mitigation steps, open issues.

2) MSR — Monthly Status Report

• Purpose: Monthly operational performance review for stakeholders and managers.
• Contents: KPIs (MTTR, MTTA, SLA%, FCR, CSAT), trend graphs M-o-M, backlog status, major incidents, change success, spend vs budget, headcount changes, improvement actions.

3) QBR — Quarterly Business Review

• Purpose: Strategic review with business leaders — align ITSM outcomes with business goals.
• Contents: Strategic KPIs, business impact (availability, revenue-at-risk), cost optimization, roadmap, major risks and mitigation, business case for investments (automation, training).

4) Executive Dashboard

• High level KPIs: Availability, SLA Compliance, CSAT, Incidents P1 count, change success, cost per ticket, trending charts for last 12 months.

Risk management should be integrated into your QBR/MSR and project status reporting. Keep a live risk register.

Risk register fields:

• Risk ID, Title, Description, Likelihood (Low/Med/High), Impact (Low/Med/High), Risk Score (Likelihood * Impact), Owner, Mitigation, Status

Risk scoring example

If Likelihood = High (3) and Impact = High (3) → Risk Score = 9 (Critical). Escalate and assign plan.

RCA & Problem Management

When repeat incidents or P1 incidents occur, create a Problem Record, perform RCA using tools like 5-Why or Fishbone, capture root cause, permanent fix, and preventive actions. Track Time to Permanent Fix as a KPI for Problem Management.

• Few but relevant KPIs: Too many KPIs dilute attention. Focus on a balanced set (Operational, Customer, Financial, Process).
• Define owner & frequency: Each KPI must have an owner and a reporting cadence (daily alerting, weekly review, monthly MSR, quarterly QBR).
• Contextualize with trends: Absolute numbers are less useful than trends and segmented KPIs (by service, by priority, by team).
• Actionable thresholds: Define thresholds that trigger actions (e.g., SLA < 95% triggers incident review meeting).
• Quality of data: Ensure timestamps and fields are mandatory in the ticketing workflow so computed KPIs are reliable.

<?php
// Minimal example: create an MSR summary from KPI variables (replace with DB reads)
$msr = [
    'period' => 'September 2025',
    'tickets_opened' => 1200,
    'tickets_closed' => 1100,
    'mttr_minutes' => 240,
    'mtta_minutes' => 35,
    'sla_pct' => 95.42,
    'csat_pct' => 87.4 // sample survey
];
// Render a short summary block
echo "<div class='report'>";
echo "<strong>MSR: {$msr['period']}</strong><br>";
echo "Tickets opened: {$msr['tickets_opened']}, closed: {$msr['tickets_closed']} <br>";
echo "MTTR: ".round($msr['mttr_minutes']/60,1)." hrs, MTTA: ".round($msr['mtta_minutes'],1)." mins <br>";
echo "SLA: {$msr['sla_pct']}%, CSAT: {$msr['csat_pct']}% </div>";
?>

This code demonstrates simple assembly of an MSR. In production: fetch KPI aggregates from DB or analytics layer and render charts using a JS chart library.

• Time to Patch — mean time to apply critical security patches.
• Vulnerability Remediation Rate — % of critical vulnerabilities remediated within SLA.
• Compliance Score — internal audits passing % for IT operations & change control.
• Service Capacity & Utilization — capacity headroom for key systems.
• Time to Onboard/Offboard — measuring identity or system provisioning lifecycle.
• Escalation Rate — % of tickets escalated to higher tier; high rates indicate training gaps.

Scenario 1 — Sudden Inflow Spike

If ticket inflow increases 2x after a release, track:

• Temporary SLA breach increase → trigger incident bridge
• Increase in MTTA and MTTR → allocate extra staff or roll back change
• Post-incident: open Problem Record and compute repeat incident count

Scenario 2 — Improving MTTR with Automation

You deploy runbooks and automation for password resets and intake triage: automation rate rises from 5% to 30%; cost per ticket decreases; MTTR for low priority reduces significantly and agents can focus on P1/P2.

1. Pick a balanced set of KPIs (customer, operational, financial, process).
2. Ensure data quality, ownership and cadence for each KPI.
3. Use trend analysis and segmentation — that’s where the value is.
4. Report with clear actions: every concerning KPI must have an owner and corrective plan.

If you want, I can (A) adapt this file to read your ticket data from your database, (B) generate export-ready MSR/QBR templates (Word/PDF), or (C) add charts (Chart.js) to the page to show live trends. Tell me which option you'd like and I will extend this same page accordingly.