KPI Design and Performance Management Training Course

Participants can convert strategic priorities into a structured architecture of objectives and measures.

• Strategic objectives translated into measurable results using strategy maps
• Balanced Scorecard perspectives adapted for commercial, public-sector and nonprofit mandates
• Cause-and-effect chains tested before assigning outcome and driver measures
• Objective statements framed with target populations, service conditions and timeframes
• Critical success factors derived from strategy, risks and stakeholder commitments
• Logic models connect inputs, activities, outputs, outcomes and impacts

Participants can create clear KPI specifications with accountable ownership and consistent calculation rules.

• KPI selection criteria balance relevance, controllability, timeliness, cost and data quality
• Indicator dictionaries specify formula, purpose, owner, source and reporting frequency
• Numerator and denominator definitions prevent inconsistent rate calculations
• Unit-of-measure conventions distinguish counts, ratios, percentages, currency and elapsed time
• Disaggregation rules expose performance differences by region, segment or process
• RACI assignments clarify accountability for indicator production, approval and response

Participants can establish data controls and governance arrangements that support trusted performance reporting.

• Data lineage maps trace KPI values from source systems to reports
• ISO 8000 data-quality dimensions applied to performance measurement datasets
• Validation rules detect missing values, duplicates, outliers and invalid codes
• Master-data controls maintain consistent customer, product, location and organisational hierarchies
• Audit trails document adjustments, restatements, approvals and version history
• Data governance councils resolve ownership, access, retention and quality issues

Participants can set credible performance targets and identify meaningful changes in results.

• Baseline analysis separates normal variation from meaningful performance shifts
• Targets set through benchmarking, historical trends, capacity and strategic ambition
• SMART target statements include metric, value, deadline, scope and owner
• Control charts distinguish common-cause variation from special-cause signals
• Thresholds and tolerance bands trigger escalation before target failure
• Target negotiation addresses resource constraints, interdependencies and unintended consequences

Participants can specify scorecards and dashboards that support timely, evidence-based decisions.

• Dashboard design follows user decisions, reporting cadence and information hierarchy
• Visual encodings match measure types: trends, comparisons, distributions and composition
• Traffic-light status rules avoid misleading thresholds and colour-only interpretation
• Run charts show trends, shifts, cycles and exceptional observations
• Executive scorecards combine strategic outcomes, drivers, risks and commentary
• Drill-down paths connect enterprise measures with operational root causes

Participants can conduct disciplined performance reviews that result in owned corrective actions.

• Performance review agendas focus attention on exceptions, decisions and commitments
• Plan-Do-Check-Act cycles convert findings into controlled improvement actions
• Five Whys and fishbone diagrams structure root-cause investigation
• Action registers record owner, due date, expected benefit and status
• Escalation protocols distinguish local correction from cross-functional management intervention
• Meeting facilitation handles defensiveness, gaming concerns and conflicting priorities

Participants can align enterprise, process, team and individual measures without creating measurement overload.

• Enterprise KPIs cascaded through business units, processes, teams and roles
• Process measures linked using SIPOC boundaries and customer requirements
• OKRs compared with KPIs for commitments, outcomes and learning
• Individual objectives aligned without creating excessive measurement burden
• Cross-functional measures assign shared accountability without diluting ownership
• Incentive links assessed for fairness, controllability and dysfunctional behaviour

Participants can select balanced quality and productivity measures for operational improvement.

• Productivity measures combine output volumes, labour hours, cost and capacity
• Overall Equipment Effectiveness decomposes availability, performance and quality losses
• First-pass yield, defect rate and rework quantify process quality
• Service-level measures capture timeliness, accuracy, accessibility and resolution quality
• Value-stream metrics reveal waiting, handoffs, queues and non-value-added work
• Balanced measure sets prevent productivity gains damaging customer outcomes

Participants can plan a controlled rollout of a KPI system and sustain its use.

• Measurement maturity assessment identifies design, data, review and capability gaps
• Pilot plans define scope, success criteria, governance and change communications
• Indicator retirement rules remove redundant, unused or misleading measures
• Training plans prepare owners and users for reporting responsibilities
• Implementation roadmaps sequence data remediation, testing, rollout and review
• Personal application plans specify first measures, stakeholders and 90-day actions