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| Section | Objectives |
|---|---|
| Understanding KPIs | - SMART objectives decomposed - KPI related terminology - KPI lifecycle |
| KPI Typology | - Qualitative vs quantitative KPIs - Leading vs lagging KPIs - Efficiency vs effectiveness KPIs |
| KPI Selection | - KPI selection sources - KPI selection techniques - KPI selection for organizational scorecard |
| KPI Selection at Operational Level | - Department scorecard - Operational dashboard |
| KPI Measurement | - KPI report - Data gathering communication - Change log |
| The World of KPIs | - KPIs concept map - Challenges in performance measurement - Governance - The value added by KPIs - Organizational levels |
| Data Visualization | - Best practices in dashboard design - Usability in terms of visual design - Guidelines to design efficient templates - Best practices in scorecard design - Scorecard and dashboard examples |
| KPI Taxonomy | - Interdisciplinary systemic worldview - KPI DNA map - KPI use case scenarios |
| KPI Project Coordination | - The business case for KPI implementation - Primary and secondary data sources - KPI project plan - KPI workshop briefing pack |
| Working with Targets | - Challenges in working with targets - Negative behaviors when setting - KPI documentation processes - Targets in practice |
| KPIs in Context | - KPIs cascaded to functional area - KPI selection for industry |
| KPI Documentation | - Organizational KPI libraries development - KPI documentation form design - Weights and Indexes - KPI documentation form functions - KPI documentation process |
| Data Gathering | - KPI activation tools - Data quality dimensions - KPI reporting data sources - Communication with data custodians - Community of Practice - Guidelines to improving - KPI activation techniques |
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22. Frage
Which metrics are used for calculating "Capacity utilized (%)"?
Antwort: A
Begründung:
"Capacity utilized (%)" is calculated as utilized capacity divided by available capacity , expressed as a percentage. Option B provides the correct numerator and denominator structure using measurable quantities:
A = amount of capacity actually used (hours, units, seats, machine time) and B = total capacity available for use during the period. Option C compares utilized to "needed," which is demand-oriented and would produce a different concept (coverage or fulfillment vs demand). Option D is ambiguous and does not clearly distinguish planned vs available capacity. Option A is circular (it restates the KPI rather than defining inputs).
Measurement challenges include defining "available capacity" (scheduled capacity, staffed capacity, theoretical maximum) and ensuring consistent units. This KPI is often used as an efficiency indicator, but it can create negative behaviors if pushed too high (overload, burnout, maintenance deferral). Good practice is to pair it with quality and reliability measures (defect rate, downtime, employee engagement) and to define target ranges rather than "maximize at all costs." Proper documentation prevents misinterpretation and makes the KPI usable for planning decisions.
Batch 4 (Questions 16-20)
23. Frage
Which of the following statements is a qualitative KPI?
Antwort: D
24. Frage
Who is responsible for providing KPI data for report generation?
Antwort: D
Begründung:
In a well-run KPI system, the data custodian is responsible for providing (supplying/extracting/submitting) the data used to calculate and populate KPI reports. This role owns the data source operationally-ensuring the correct dataset is available on time, in the right format, with appropriate quality checks. The KPI owner is accountable for the KPI's performance (interpretation, actions, improvement plans) but does not necessarily
"produce" the data. The report generator compiles and publishes the report, yet should not be the one responsible for the underlying data accuracy or collection. The Strategy/Performance Manager oversees governance, cadence, and alignment across KPIs, but is not typically the operational provider of each KPI's raw inputs. Clear role separation addresses common measurement challenges: late submissions, inconsistent definitions, and disputes over "whose number is correct." During KPI activation, assigning a named data custodian, specifying the data source, and defining the handoff process (timing, validations, exceptions) are essential steps to make reporting reliable and sustainable.
25. Frage
Which of the following are effectiveness KPIs?
Antwort: C
Begründung:
Effectiveness KPIs reflect whether desired results are being achieved-often tied to outcomes such as satisfaction, engagement, quality, or goal attainment. The employee engagement index is an effectiveness KPI because it measures the state of engagement (a desired people outcome) rather than resource efficiency.
"Time to process request per agent" is primarily an efficiency/productivity measure (speed/effort), and
"transportation capacity utilization" is also typically an efficiency measure (how fully capacity is used).
Therefore "All the answers" is not correct. Effectiveness metrics are important because organizations can become efficient at doing the wrong things; effectiveness ensures performance aligns with strategic intent. A measurement challenge for engagement is survey validity and response bias; activation requires consistent methodology, confidentiality, and a follow-up action cycle. In scorecards, effectiveness KPIs are often lagging or semi-lagging, so they should be supported by leading indicators and initiatives. Balancing effectiveness with efficiency prevents unintended trade-offs-e.g., faster processing times that reduce service quality or employee experience.
26. Frage
The relevant sources to be analyzed in order to set targets are:
Antwort: D
Begründung:
Target setting is stronger when it triangulates multiple sources: historical data shows your baseline and internal variability; market analysis reflects shifts in demand, pricing, competition, and customer expectations; and external benchmarking provides reference points for what peers or best-in-class performance can look like. Because each contributes a different lens, "All the answers" is the correct choice.
Relying on only one source creates risk: historical-only targets can lock in mediocrity or ignore new conditions; benchmarking-only targets can be unrealistic if definitions differ or resources aren't comparable; market-only targets can be aspirational without operational grounding. Measurement challenges include comparability (different KPI definitions across organizations) and regime changes (new products, new systems) that make past data less predictive. Good practice is to document the rationale for targets, specify the period used, and revisit targets when strategy or operating context materially changes-while keeping KPI definitions stable to preserve trend integrity.
27. Frage
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