Performance Domain

The Performance domain focuses on measurement, evaluation, and enhancement of alignment between business activities and strategic objectives. It embeds performance metrics directly into the architecture, linking them to capabilities, value streams, products, and services across the enterprise ecosystem.

Schema: performance.schema.json
Specification: JSON Schema Draft-07

Overview

What is Performance?

Performance represents the quantifiable measurement and evaluation of how effectively an organization delivers value and achieves its strategic objectives. Performance metrics provide insight into the alignment between business activities and desired outcomes, enabling data-driven decision making and continuous improvement.

The domain supports:

• Proactive performance management through predictive analytics
• Democratized access to performance information across roles
• Continuous feedback loops connecting strategy to execution

Purpose and Value

The Performance domain enables architects and planners to:

• Define measurable outcomes with clear KPIs and targets
• Track strategic alignment by linking metrics to objectives
• Enable data-driven decisions through performance dashboards
• Drive continuous improvement by identifying gaps and opportunities
• Support accountability through clear ownership and targets

For Data Engineers

The Performance domain maps directly to analytics and observability:

• Performance Metric → KPI /Metric in your BI tools
• KPIs → Dashboard measures and alerts
• Thresholds → Alerting rules and SLOs
• Data Sources → Source systems for metrics
• Measurement Method → Calculation logic /SQL

Core Components

The Performance domain includes essential elements:

1. Performance KPIs: Specific quantifiable metrics that measure outcomes
2. Performance Framework: Structure for organizing and relating metrics
3. Measurement Systems: Technical capabilities for collecting and processing data
4. Performance Analysis: Analytical capabilities for interpreting data
5. Improvement Actions: Mechanisms for translating insights into improvements

Domain Attributes

Core Attributes

Attribute	Type	Description	Required
performanceID	String	Unique identifier for the performance metric, e.g. PERF-001	✓
title	String	Name or title of the performance metric	✓
description	String	Detailed explanation of what the metric entails	✓
purpose	String	Intended purpose or function of the metric	✓
owner	String	Individual or team responsible for the metric	✓
orgUnitTitle	String	Organization unit(s) to which the metric is linked
orgUnitID	String	ID of the organization unit named in orgUnitTitle
performanceCategory	Enum	Broad categorization of performance type
performanceType	Enum	Specific type of performance metric
measurementLevel	Enum	Level at which performance is measured
metricClass	Enum	Classification of metric characteristics
rationales	Array[String]	IDs of the rationales explaining the strategic motivation for each KPI or performance goal
inputs	String	Resources, information required for the metric
outputs	String	Deliverables or results produced
performanceIndicators	String	Current values and trends
dependencies	String	Other metrics, processes, or systems depended on
relatedPerformanceMetrics	String	Related or linked metrics
relatedPerformanceIDs	Array[String]	IDs of related performance metrics
maturityLevel	Enum	Current maturity level of the metric
toolsAndTechnologies	String	Tools and technologies used
complianceAndStandards	Array[Enum]	Regulatory requirements and standards the metric must adhere to
cost	String	Financial cost for implementing and maintaining
risks	String	Potential risks associated with the metric
riskCategories	Array[Enum]	Categories of risks (shared risk category list, plus interpretation)
improvementOpportunities	String	Areas for enhancement
strategicAlignment	String	Alignment with strategic goals
measurementMethod	String	How the metric is calculated
dataSource	String	Primary sources of data
frequency	Enum	How often the metric is measured
targets	String	Specific targets, benchmarks, or goals
thresholds	String	Alert thresholds and ranges
trending	String	Historical trends and patterns
benchmarking	String	External benchmarks and industry comparisons
actionTriggers	String	Conditions that trigger management action
reportingStructure	String	How and to whom performance results are reported
visualization	String	How performance data is displayed and presented
dataQuality	String	Data quality measures and validation procedures
automation	Enum	Level of automation in measurement
scalability	String	Ability to scale measurement across the organization
integration	String	Integration with other systems and platforms
historicalData	String	Historical data availability and retention
predictiveCapability	String	Predictive analytics capabilities
businessValue	String	Business value and impact
stakeholderImpact	String	Impact on key stakeholders
competitiveAdvantage	String	How this metric provides competitive differentiation
innovation	String	Innovation opportunities and emerging technologies
sustainability	String	Environmental and sustainability considerations
accessibility	String	Accessibility features for performance information
governance	String	Governance framework for the performance metric
changeManagement	String	Approach to managing changes to the performance metric
training	String	Training requirements for performance metric users
documentation	String	Documentation and knowledge management
performanceKPIs	Array[Object]	Key Performance Indicators supporting the metric (see Performance KPI below)

Enumeration Values

Performance Category (performanceCategory)

Value	Description	Example
strategicPerformance	Measures strategic objective achievement	Market share, revenue growth
operationalPerformance	Measures operational efficiency	Throughput, cycle time
financialPerformance	Measures financial results	Revenue, profit margin, ROI
customerPerformance	Measures customer experience	Satisfaction, retention, NPS
processPerformance	Measures process effectiveness	Quality rate, error rate
qualityPerformance	Measures quality outcomes	Defect rate, compliance
safetyPerformance	Measures safety outcomes	Incident rate, compliance
innovationPerformance	Measures innovation outcomes	New products, adoption rates

Performance Type (performanceType)

Value	Description	Example
kpi	Key Performance Indicator	Revenue growth rate
metric	General measurement	Transaction count
indicator	Directional measure	Trend indicator
index	Composite measure	Customer satisfaction index
ratio	Comparative measure	Cost-to-income ratio
score	Evaluated measure	Quality score
rate	Frequency measure	Incident rate
benchmark	Comparative standard	Industry benchmark
target	Goal measure	Target achievement
threshold	Limit measure	Alert threshold

Measurement Level (measurementLevel)

Value	Description	Example
enterprise	Organization-wide	Company-level KPIs
division	Business division	Division performance
department	Departmental level	Department metrics
process	Process level	Process efficiency
project	Project level	Project metrics
individual	Individual level	Personal performance
system	System level	System performance
product	Product level	Product metrics

Metric Class (metricClass)

Value	Description	Example
leadingIndicator	Predictive of future performance	Pipeline metrics, engagement
laggingIndicator	Historical performance measures	Revenue, customer retention
coincidentIndicator	Current performance measures	Real-time operational metrics
predictiveMetric	Forward-looking predictions	Forecasts, projections
diagnosticMetric	Root cause analysis	Problem indicators

Frequency (frequency)

Value	Description	Example
continuous	Measured continuously, as a stream	Sensor telemetry
realTime	Measured as events occur	Live dashboards
hourly	Measured every hour	Operational monitoring
daily	Measured daily	Daily reports
weekly	Measured weekly	Weekly reviews
monthly	Measured monthly	Monthly reports
quarterly	Measured quarterly	Quarterly reviews
semiAnnually	Measured twice a year	Half-year assessments
annually	Measured annually	Annual assessments
eventDriven	Measured when a defined event occurs	Post-incident measurement
onDemand	Measured when requested	Self-service queries
adHoc	Measured as needed, without a set schedule	Special analysis

Maturity Level (maturityLevel)

Value	Description	Example
initial	Ad-hoc, inconsistent	Manual collection
repeatable	Basic processes emerging	Some automation
defined	Standardized processes	Documented methods
managed	Quantitatively controlled	Statistical analysis
optimizing	Continuous improvement	Predictive optimization

Automation Level (automation)

Value	Description	Example
manual	Fully manual collection	Spreadsheet entry
semiAutomated	Partial automation	Automated collection, manual analysis
highlyAutomated	Mostly automated	Automated with exception handling
fullyAutomated	End-to-end automation	No human intervention
aiEnabled	Automated with AI or machine learning	Anomaly detection, predictive alerts

Compliance and Standards (complianceAndStandards)

Value	Description
federalRegulations	Federal government regulations
industryStandards	Industry-specific standards
internalStandards	Organization-specific standards
qualityStandards	Quality management standards
safetyStandards	Safety regulations and standards

riskCategories uses the shared risk category list in common.schema.json, plus interpretation for the risk of a metric being misread.

Performance KPI (performanceKPI)

Each entry in performanceKPIs is a Performance KPI element.

Attribute	Type	Description	Required
title	String	Name/title of the KPI	✓
parent	String	The Performance outcome the Performance KPI is related to
description	String	Detailed explanation	✓
purpose	String	The intended purpose or function of the Performance KPI within the performance measurement framework	✓
owner	String	KPI owner	✓
orgUnitTitle	String	The Organization unit(s) responsible for tracking the KPI
orgUnitID	String	ID of the organization unit named in orgUnitTitle
measurementMethod	String	How the Performance KPI is measured
targets	String	Target values
frequency	Enum	Measurement frequency (shared frequency list)
dataSource	String	Data source
relatedKPIs	String	KPIs that are related or linked to this Performance KPI
dependencies	String	Other Performance KPIs, processes or systems that the Performance KPI depends on
risks	String	Potential risks associated with the Performance KPI measurement and its interpretation
improvementOpportunities	String	Areas where the Performance KPI measurement can be enhanced or improved
strategicAlignment	String	How the Performance KPI aligns with the Organization's strategic goals and objectives
kpiType	Enum	Type of KPI
priority	Enum	Business priority of the KPI (shared priority list)
complexity	Enum	Measurement complexity level (shared complexity list)
thresholds	String	Alert thresholds
calculationFormula	String	Mathematical formula for calculating the KPI
dataQuality	String	Data quality requirements and validation
reporting	String	Reporting format and distribution
visualization	String	How the KPI is displayed
automation	Enum	Level of automation in KPI calculation (shared automation list)
benchmarking	String	External benchmarks and comparisons
actionPlans	String	Predetermined actions based on KPI performance
historicalTrends	String	Historical performance patterns
stakeholderNotification	String	Who gets notified of KPI performance

KPI Type (kpiType)

Value	Description
outcomeKPI	Measures a business result
processKPI	Measures how well a process runs
inputKPI	Measures resources put in
outputKPI	Measures what is produced
leadingKPI	Predicts future performance
laggingKPI	Reports performance already achieved

KPI Priority (priority)

Value	Description
low	Monitored, little immediate business consequence
medium	Tracked regularly, moderate business consequence
high	Closely managed, significant business consequence
critical	Essential to the business; breaches trigger immediate action

KPI Complexity (complexity)

Value	Description
simple	A single direct measure from one source
moderate	Combines a few measures or sources
complex	Many sources or non-trivial calculation
highlyComplex	Modelled or composite measure needing specialist support

Domain Relationships

The Performance domain integrates with other metamodel domains:

Target Domain	Relationship Type	Description
Organization	Ownership	Organization units own and manage performance metrics
Stakeholder	Consumption	Stakeholders consume and act on performance information
Strategy	Measurement	Performance metrics measure strategic objective achievement
Capabilities	Enablement	Performance metrics measure capability effectiveness
Products	Assessment	Performance metrics assess product success and value
Services	Evaluation	Performance metrics evaluate service delivery quality
Information	Utilization	Performance metrics utilize organizational information assets
Initiatives	Tracking	Performance metrics track initiative progress and success
Policy	Compliance	Performance metrics ensure policy compliance
Value Stream	Optimization	Performance metrics optimize value stream performance

Examples

Example 1: Safety Performance Metric

{
  "performanceID": "PERF-001",
  "title": "Track-Related Accident Rate",
  "description": "Measurement of accidents caused by track conditions per million train-miles operated",
  "purpose": "Monitor and reduce track-related accidents through targeted interventions and continuous improvement",
  "owner": "Chief Safety Analysis Officer",
  "orgUnitTitle": "Safety Analysis Division",
  "orgUnitID": "OU-001",
  "performanceCategory": "safetyPerformance",
  "performanceType": "rate",
  "measurementLevel": "enterprise",
  "metricClass": "laggingIndicator",
  "inputs": "Accident reports, track inspection data, train movement logs, incident investigation reports",
  "outputs": "Monthly safety reports, trend analysis, intervention recommendations, regulatory filings",
  "performanceIndicators": "Current rate: 1.2 accidents per million train-miles, Year-over-year improvement: 15%",
  "frequency": "monthly",
  "targets": "Target: <1.0 accidents per million train-miles, Industry benchmark: 1.5, Regulatory threshold: 2.5",
  "thresholds": "Green: <1.0, Yellow: 1.0-1.5, Red: >1.5, Emergency: >2.5 per million train-miles",
  "dataSource": "Incident management system, operational data warehouse, FRA reporting system",
  "measurementMethod": "Total track-related accidents divided by total train-miles operated (in millions)",
  "automation": "highlyAutomated",
  "maturityLevel": "optimizing",
  "complianceAndStandards": [
    "federalRegulations",
    "safetyStandards"
  ],
  "businessValue": "Prevented $5M in accident costs annually, 20% reduction in insurance premiums",
  "strategicAlignment": "Direct measure of safety performance and regulatory effectiveness",
  "performanceKPIs": [
    {
      "title": "Monthly Accident Rate Trend",
      "description": "Monthly tracking of accident rate trends and patterns",
      "purpose": "Show whether safety interventions are reducing accidents over time",
      "owner": "Chief Safety Analysis Officer",
      "kpiType": "laggingKPI",
      "priority": "critical",
      "frequency": "monthly",
      "targets": "Consistent monthly improvement toward annual target"
    }
  ]
}

Example 2: Customer Performance Metric

{
  "performanceID": "PERF-002",
  "title": "Customer Satisfaction Score",
  "description": "Comprehensive measurement of customer satisfaction across all service touchpoints",
  "purpose": "Monitor and improve customer experience to drive loyalty, retention, and business growth",
  "owner": "Chief Customer Experience Officer",
  "orgUnitTitle": "Customer Experience Division",
  "orgUnitID": "OU-002",
  "performanceCategory": "customerPerformance",
  "performanceType": "score",
  "measurementLevel": "enterprise",
  "metricClass": "laggingIndicator",
  "inputs": "Customer surveys, service interaction data, complaint records, feedback forms",
  "outputs": "Monthly satisfaction reports, customer experience insights, improvement action plans",
  "frequency": "monthly",
  "targets": "Target: 4.5/5.0, Industry benchmark: 4.2/5.0, Minimum acceptable: 4.0/5.0",
  "dataSource": "Customer survey platform, CRM system, service delivery systems",
  "measurementMethod": "Weighted average of satisfaction scores across all customer touchpoints",
  "automation": "semiAutomated",
  "maturityLevel": "managed",
  "businessValue": "15% increase in customer retention, $2M additional revenue from satisfied customers",
  "performanceKPIs": [
    {
      "title": "Service Quality Rating",
      "description": "Customer rating of service delivery quality",
      "purpose": "Track how customers rate the quality of service they receive each week",
      "owner": "Chief Customer Experience Officer",
      "kpiType": "outcomeKPI",
      "priority": "high",
      "frequency": "weekly",
      "targets": "Maintain >4.3/5.0 weekly average"
    }
  ]
}

Example 3: Operational Performance Metric

{
  "performanceID": "PERF-003",
  "title": "On-Time Performance Rate",
  "description": "Percentage of trains arriving at destinations within scheduled timeframes",
  "purpose": "Track and improve operational efficiency to enhance customer service",
  "owner": "Director of Operations",
  "orgUnitTitle": "Operations Division",
  "orgUnitID": "OU-003",
  "performanceCategory": "operationalPerformance",
  "performanceType": "rate",
  "measurementLevel": "enterprise",
  "metricClass": "coincidentIndicator",
  "inputs": "Train scheduling data, actual arrival times, weather data, infrastructure status",
  "outputs": "Daily operations reports, performance dashboards, delay analysis, improvement plans",
  "frequency": "daily",
  "targets": "Target: 95%, Industry benchmark: 90%, Minimum acceptable: 85%",
  "thresholds": "Green: >92%, Yellow: 85-92%, Red: <85%",
  "dataSource": "Train control systems, GPS tracking, station reporting systems",
  "automation": "fullyAutomated",
  "maturityLevel": "optimizing",
  "predictiveCapability": "Machine learning models predict delays, weather impact analysis, resource optimization",
  "businessValue": "Improved customer satisfaction, reduced operational costs, competitive advantage"
}

Implementation Guidelines

Performance Measurement Best Practices

1. Align to strategy — Ensure every metric links to strategic objectives
2. Balance perspectives — Include leading and lagging indicators
3. Define ownership — Assign clear accountability for each metric
4. Set meaningful targets — Base targets on benchmarks and improvement goals
5. Automate collection — Minimize manual data collection where possible

Balanced Scorecard Approach

OpenMetadata Integration

For Data Platform Teams

When integrating with OpenMetadata, map Performance entities as follows:

Triodian Element	OpenMetadata Entity	Notes
Performance Metric	Data Quality Test	For data-related metrics
KPIs	Dashboard Metrics	In BI dashboards
Thresholds	Test Config	Alert thresholds
Data Source	Lineage Source	Where data comes from
Targets	Test Expected Results	Pass/fail criteria

# Example: Create performance monitoring tests
def create_performance_tests(metric):
    """
    Map Triodian Performance metric to OpenMetadata data quality test
    """
    tests = []
    
    for kpi in metric.get("performanceKPIs", []):
        test = {
            "name": kpi["title"].lower().replace(" ", "_"),
            "displayName": kpi["title"],
            "description": kpi["description"],
            "testDefinition": {
                "name": "customMetricTest",
                "description": kpi.get("calculationFormula", "Custom calculation")
            },
            "parameterValues": [
                {"name": "target", "value": kpi.get("targets", "")},
                {"name": "threshold", "value": kpi.get("thresholds", "")}
            ],
            "entityLink": f"<#E::table::{metric['dataSource']}>",
            "testSuite": metric["title"].replace(" ", ""),
            "owner": {
                "name": kpi["owner"],
                "type": "user"
            }
        }
        tests.append(test)
    
    return tests

Schema Reference

• Repository: Triodian/Triodian_Metamodel
• Schema: performance.schema.json
• Specification: JSON Schema Draft-07
• License: Apache License 2.0

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