Performance Metrics and KPIs Training Course

Participants can translate strategic priorities into measurable performance objectives.

• Strategy maps connect outcomes, capabilities, processes and stakeholder value
• Balanced Scorecard perspectives adapted for public, private and nonprofit organisations
• Critical success factors derived from strategic plans and operating models
• Customer value propositions translated into measurable service and quality requirements
• Outcome measures separated from output, activity and input measures
• Cascading objectives maintains line-of-sight from enterprise goals to teams

Participants can identify meaningful measurement points within an end-to-end process.

• SIPOC diagrams establish suppliers, inputs, process boundaries and customers
• Value stream maps reveal waiting, rework, handoffs and constraint points
• Process owners, customers and control points identified before metric design
• Voice of Customer requirements converted into critical-to-quality characteristics
• Cycle time boundaries defined using clear start and finish events
• Measurement points positioned at handoffs, queues, approvals and outputs

Participants can create reliable metric definitions and data-quality controls.

• KPI definition sheets specify purpose, formula, owner and audience
• Numerators, denominators, inclusions and exclusions documented for reproducible calculations
• Data lineage traces reported values to systems, records and transformations
• Operational definitions prevent inconsistent coding, counting and classification decisions
• Data-quality dimensions cover accuracy, completeness, timeliness, consistency and validity
• Sampling approaches selected when complete operational data are unavailable

Participants can establish credible baselines and interpret variation appropriately.

• Baseline periods selected to reflect normal demand and operating conditions
• Run charts display trends, shifts, cycles and unusual observations
• Common-cause and special-cause variation distinguished using Shewhart principles
• Control limits differentiated from specification limits and management targets
• Median, mean, range and percentiles selected for appropriate distributions
• Seasonality and demand mix considered before comparing performance periods

Participants can structure a balanced KPI hierarchy for a business area.

• KPI trees connect strategic outcomes to process drivers and activities
• Enterprise, departmental, team and individual measures assigned distinct purposes
• Driver trees test causal assumptions behind proposed performance indicators
• Metric portfolios balance quality, cost, delivery, safety and customer measures
• Redundant indicators removed through decision-use and correlation assessment
• Ownership matrices assign data stewardship, review responsibility and action authority

Participants can select indicators that provide both early warning and outcome evidence.

• Lagging indicators confirm results after customer or business impact
• Leading indicators monitor controllable conditions preceding desired performance outcomes
• Diagnostic measures isolate probable causes behind deteriorating headline KPIs
• Input, process, output and outcome measures used together appropriately
• Predictive indicators tested against historical outcomes before operational adoption
• False leading indicators rejected when correlation lacks plausible causal mechanism

Participants can set defensible targets and escalation thresholds for KPIs.

• SMART targets specify performance level, timeframe, scope and accountable owner
• Historical baselines inform realistic improvement trajectories and tolerance bands
• Benchmarking sources assessed for comparability, definitions and operating context
• Target ranges replace single-point goals where normal process variation exists
• Red-amber-green thresholds aligned with decision rules and response actions
• Stretch targets tested for unintended incentives, capacity limits and quality risks

Participants can build a strategy map and scorecard for a defined operating area.

• Strategic themes organise scorecard objectives around priority business outcomes
• Cause-and-effect links documented between capability, process and customer objectives
• Financial measures adapted for cost centres, public bodies and NGOs
• Scorecard objectives expressed as observable changes rather than activities
• Initiatives linked to objectives without confusing projects with performance measures
• Balanced Scorecard measures checked for gaps, duplication and conflicting incentives

Participants can design productivity measures that account for workload, quality and capacity.

• Labour productivity calculated using output volumes, hours and quality adjustments
• Capacity utilisation separates available, productive and lost operating time
• Overall Equipment Effectiveness combines availability, performance and quality losses
• Workload measures account for case complexity, demand mix and rework
• Throughput, work-in-progress and cycle time interpreted using Little's Law
• Constraint metrics focus improvement attention on system bottlenecks and queues

Participants can specify quality and service measures linked to customer requirements.

• First-pass yield measures outputs completed without correction or rework
• Defect rates defined by unit, opportunity, severity and detection point
• Service-level measures distinguish response time, resolution time and attainment
• Customer satisfaction scores interpreted alongside response rates and complaint themes
• Net Promoter Score limitations considered before using it as accountability metric
• Cost of quality categories expose prevention, appraisal and failure costs

Participants can design dashboards that support rapid interpretation and action.

• Dashboard audiences determine metric granularity, frequency and visual emphasis
• Visual hierarchy directs attention to exceptions, trends and decision priorities
• Run charts preferred over gauges for showing performance movement
• Tables reserved for precise values, comparisons and detailed operational follow-up
• Annotations explain special causes, interventions and material data changes
• Colour conventions support accessibility and avoid red-green dependency

Participants can investigate performance gaps using structured analytical methods.

• Pareto analysis prioritises defect categories, delay causes and complaint themes
• Fishbone diagrams organise potential causes across people, process and technology
• Five Whys testing distinguishes symptoms from contributing process conditions
• Stratification compares results by product, channel, location and customer segment
• Scatter plots examine relationships before asserting performance causation
• Root cause evidence documented before selecting corrective or preventive actions

Participants can establish governance arrangements that maintain metric integrity and action.

• KPI owners accountable for interpretation, commentary and improvement action
• Data stewards maintain source integrity, calculation rules and refresh schedules
• RACI matrices clarify approval, challenge and escalation responsibilities
• Metric change control records definition revisions, rationale and effective dates
• Governance forums review exceptions, risks, decisions and action closure
• Audit trails preserve evidence supporting reported performance and target status

Participants can run disciplined performance reviews focused on decisions and action.

• Review agendas start with safety, customer impact and strategic exceptions
• Exception-based reporting concentrates discussion on material deviations and risks
• A3 problem-solving structures issue framing, analysis, actions and follow-up
• Action logs specify owner, due date, evidence and completion criteria
• Escalation protocols distinguish local resolution from management intervention
• Meeting cadence matched to process speed, volatility and decision authority

Participants can identify and reduce unintended consequences of performance measurement.

• Target gaming patterns include reclassification, timing shifts and selective reporting
• Perverse incentives assessed before introducing individual performance targets
• Metric burden measured through collection effort, reporting volume and decision value
• Privacy considerations apply when employee, customer or sensitive case data appear
• Balanced measure sets reduce incentives to improve one result harmfully
• Independent challenge tests assumptions, calculations and favourable performance narratives

Participants can apply KPI methods to project delivery, benefits and governance.

• Earned Value Management integrates planned value, earned value and actual cost
• Schedule Performance Index signals progress against planned project delivery
• Cost Performance Index indicates cost efficiency of completed project work
• Benefits realisation measures track outcomes after project outputs are delivered
• Risk indicators monitor exposure, mitigation completion and emerging threats
• Project dashboards distinguish delivery status from operational benefit performance

Participants can plan phased implementation of a KPI system within an operating area.

• Stakeholder analysis identifies metric users, contributors, challengers and decision makers
• Implementation roadmaps sequence data preparation, piloting, review and expansion
• Pilot measures tested for usability, data availability and behavioural effects
• Training plans prepare managers to interpret variation and lead reviews
• Communication plans explain measurement purpose, definitions and employee implications
• Adoption measures track dashboard use, review quality and action completion

Participants can build, review and present a complete KPI framework for a defined operational, project or service area.

• Business case defines performance problem, scope, stakeholders and intended decisions
• Strategy map links objectives with proposed outcome and driver measures
• KPI dictionary documents formulas, sources, owners, targets and reporting frequency
• Dashboard layout presents trends, thresholds, exceptions and management commentary
• Governance plan assigns review cadence, escalation routes and action controls
• Peer review challenges causal logic, data quality and unintended incentives