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| Section | Objectives |
|---|---|
| Data Visualization | - Best practices in scorecard design - Usability in terms of visual design - Best practices in dashboard design - Scorecard and dashboard examples - Guidelines to design efficient templates |
| KPI Documentation | - KPI documentation form design - Weights and Indexes - KPI documentation form functions - Organizational KPI libraries development - KPI documentation process |
| KPI Project Coordination | - Primary and secondary data sources - The business case for KPI implementation - KPI workshop briefing pack - KPI project plan |
| KPI Taxonomy | - KPI DNA map - KPI use case scenarios - Interdisciplinary systemic worldview |
| KPI Selection | - KPI selection sources - KPI selection for organizational scorecard - KPI selection techniques |
| KPIs in Context | - KPIs cascaded to functional area - KPI selection for industry |
| KPI Measurement | - Change log - Data gathering communication - KPI report |
| The World of KPIs | - The value added by KPIs - Governance - Organizational levels - KPIs concept map - Challenges in performance measurement |
| KPI Selection at Operational Level | - Department scorecard - Operational dashboard |
| KPI Typology | - Qualitative vs quantitative KPIs - Leading vs lagging KPIs - Efficiency vs effectiveness KPIs |
| Data Gathering | - Guidelines to improving - KPI activation techniques - Community of Practice - KPI reporting data sources - Data quality dimensions - KPI activation tools - Communication with data custodians |
| Working with Targets | - Negative behaviors when setting - Targets in practice - KPI documentation processes - Challenges in working with targets |
| Understanding KPIs | - KPI related terminology - SMART objectives decomposed - KPI lifecycle |
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NEW QUESTION # 37
Which start target would you propose for "Net Promoter Score (NPS) (%)", tracked at organizational level?
Answer: B
NEW QUESTION # 38
Which is the calculation formula for "On-time arrivals (%)"?
Answer: B
Explanation:
"On-time arrivals (%)" is a classic ratio KPI : the number of arrivals that met the on-time definition divided by total arrivals, multiplied by 100. Option B matches that structure directly: (on-time arrivals / total arrivals) × 100 . Option A calculates the complement (late arrivals as a percentage), not on-time arrivals.
Option D is an average duration calculation, which is a different type of measure (cycle time) and not an on- time percentage. A key measurement challenge is defining "on-time" precisely-e.g., arrival within 5 minutes of schedule, or within a contractual window. The KPI documentation should specify: time window, inclusion
/exclusion rules (canceled trips, rescheduled arrivals), time source (system timestamp vs manual entry), and how partial data is handled. Without consistent definitions, the KPI becomes easy to dispute and hard to improve. This KPI is also sensitive to data accuracy (clock sync, GPS timestamps), so activation should include data validation checks and ownership for corrections.
NEW QUESTION # 39
Which of the following is an efficiency KPI?
Answer: B
Explanation:
Efficiency KPIs measure how well resources are converted into outputs-typically cost, time, or effort per unit of output . "Cost per delivered order ($)" is a direct efficiency KPI because it expresses the resources spent to deliver one unit of service/output. "Production output (#)" is an output/volume measure, which is important but does not describe resource use per unit (it can increase even if efficiency worsens). "Employee satisfaction (%)" is an outcome/people metric, not efficiency. Selecting efficiency KPIs requires careful definition of included costs (labor, logistics, overhead allocation) and consistency across periods; otherwise, performance swings may reflect accounting changes rather than operational improvements. A common pitfall is optimizing efficiency at the expense of effectiveness (quality, customer outcomes). To prevent this, efficiency KPIs are often paired with effectiveness or quality KPIs (defect rate, on-time delivery, customer satisfaction) so teams don't reduce costs by cutting corners. Proper KPI documentation and balanced scorecards keep efficiency improvement aligned with overall value delivery.
NEW QUESTION # 40
Objectives should start with:
Answer: C
Explanation:
Well-written objectives are action-oriented and describe a desired change or achievement, so they typically start with action verbs (e.g., "Increase," "Improve," "Reduce," "Enhance," "Build," "Strengthen"). This makes the objective clear, directional, and easier to cascade into supporting objectives and KPIs. Starting objectives with adjectives ("High quality...") or nouns ("Quality assurance...") often produces vague statements that are hard to measure and manage. "Value drivers" are underlying factors that influence outcomes, but they are not the grammatical starting point for objective wording; they are used to build causal logic and KPI trees. Clear objectives are essential for selecting the right KPIs: if the objective is "Reduce customer wait time," then lead-time and queue KPIs naturally follow. A common pitfall is writing objectives as topics instead of intentions (e.g., "Customer service"), which leads to confused KPI selection and weak accountability. Action-verb objectives improve alignment across organizational, departmental, and individual levels because each level can express how it will contribute using the same results-focused language.
NEW QUESTION # 41
Which target limits would you propose for "Budget variance (%)", tracked at organizational level?
Answer: D
Explanation:
"Budget variance (%)" is a valid KPI when defined clearly (actual vs budget, period, scope). At an organizational level, the tolerance band is typically tight , because large deviations indicate poor forecasting, weak cost control, or major operational surprises. Among the options, +/# 3% is the most reasonable limit that reflects disciplined financial management while allowing for normal variability. +/# 50% or +/# 97% would be so wide that the KPI loses practical meaning-almost any performance would appear acceptable, undermining accountability. The key selection principle here is relevance and actionability : thresholds should differentiate normal variation from conditions that require management intervention. In context, tolerance bands may differ by industry volatility (e.g., commodity-driven businesses may accept wider bands) and by what is being measured (opex may be tighter than capex). Implementation should also clarify whether variance is favorable/unfavorable depending on cost vs revenue budgets and how timing differences are treated. Proper documentation avoids gaming through reforecasting or shifting accruals.
NEW QUESTION # 42
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