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| Section | Objectives |
|---|---|
| Topic 1: Understanding KPIs | - KPI related terminology - SMART objectives decomposed - KPI lifecycle |
| Topic 2: The World of KPIs | - Challenges in performance measurement - Organizational levels - KPIs concept map - The value added by KPIs - Governance |
| Topic 3: KPI Taxonomy | - KPI use case scenarios - Interdisciplinary systemic worldview - KPI DNA map |
| Topic 4: KPIs in Context | - KPIs cascaded to functional area - KPI selection for industry |
| Topic 5: KPI Selection at Operational Level | - Department scorecard - Operational dashboard |
| Topic 6: KPI Measurement | - Data gathering communication - KPI report - Change log |
| Topic 7: KPI Project Coordination | - KPI project plan - KPI workshop briefing pack - Primary and secondary data sources - The business case for KPI implementation |
| Topic 8: KPI Documentation | - KPI documentation form design - Organizational KPI libraries development - KPI documentation process - Weights and Indexes - KPI documentation form functions |
| Topic 9: KPI Typology | - Efficiency vs effectiveness KPIs - Leading vs lagging KPIs - Qualitative vs quantitative KPIs |
| Topic 10: Data Gathering | - Data quality dimensions - Community of Practice - KPI reporting data sources - Communication with data custodians - Guidelines to improving - KPI activation tools - KPI activation techniques |
| Topic 11: Working with Targets | - Targets in practice - Negative behaviors when setting - KPI documentation processes - Challenges in working with targets |
| Topic 12: Data Visualization | - Best practices in scorecard design - Guidelines to design efficient templates - Usability in terms of visual design - Best practices in dashboard design - Scorecard and dashboard examples |
| Topic 13: KPI Selection | - KPI selection for organizational scorecard - KPI selection techniques - KPI selection sources |
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NEW QUESTION # 39
Which type of graph is ideal for trend analysis?
Answer: C
Explanation:
Line charts are ideal for trend analysis because they show changes over time clearly, highlight directionality (improving/declining), and help spot patterns such as seasonality, step-changes, and volatility. For KPIs, trend matters as much as current status: a KPI slightly below target but improving steadily can require a different action than a KPI above target but deteriorating. Spaghetti charts often become unreadable when too many lines are plotted, making them risky for decision-making. Bullet graphs are excellent for showing current performance versus target and thresholds in a compact way, but they are not primarily a trend visualization unless combined with time series. Scatter graphs are best for relationships/correlation between variables (e.g., call duration vs first-call resolution) rather than time trends. A common measurement challenge is overreacting to short-term noise; line charts support better interpretation when paired with consistent time intervals, rolling averages where appropriate, and clear annotations for major events (policy changes, launches) that explain shifts. This improves KPI "signal vs noise" and leads to more stable performance management.
NEW QUESTION # 40
Which of the following statements are secondary research sources as part of the KPI selection process?
Answer: D
Explanation:
Secondary research refers to information gathered indirectly from existing sources-reports, publications, databases, benchmarks-rather than directly from interviews, workshops, or surveys you conduct.
Competitors' annual reports are a classic secondary source , because they are publicly available documents that can provide insight into industry metrics, strategic priorities, performance themes, and sometimes disclosed KPIs. Front-line employees' input is primary research (direct stakeholder engagement). Supplier focus groups are also primary research because you are collecting information firsthand through facilitated discussion. In KPI selection, secondary sources help you understand typical measures used in the sector, set realistic reference points, and identify what "good" can look like-but they must be adapted to your strategy and operating model. A pitfall is blindly copying competitor KPIs without ensuring relevance, controllability, and data feasibility. Secondary sources are best used to inform options and benchmarking, then validated through internal workshops and operational reality checks (data availability, ownership, measurement cost).
This combination improves both strategic alignment and practical implementability.
NEW QUESTION # 41
Which of the following statements is considered one of the most important fields used for KPI documentation from the perspective of importance to pursue performance results analysis?
Answer: C
NEW QUESTION # 42
Objectives should start with:
Answer: B
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 # 43
Which of the following statements is a leading KPI for "Customer satisfaction (%)"?
Answer: D
Explanation:
A leading KPI is an upstream operational measure that tends to change before the outcome KPI changes.
Customer satisfaction is usually influenced by experience drivers such as responsiveness, wait time, delivery speed, and service reliability. "Orders processed per hour" is a productivity/throughput KPI that can serve as a proxy driver for faster service and reduced delays-conditions that often improve satisfaction (assuming quality is maintained). "Retained earnings ($)" is financial and lagging; it reflects accumulated profitability, not a direct operational lever for satisfaction. "Profitable customers (%)" is a segment profitability metric, not a driver of satisfaction; if anything, satisfaction may drive retention and profitability, not the reverse. "None of the answers" is not correct given a plausible driver exists. In KPI design, leading indicators must be used carefully: increasing throughput can harm quality if it encourages rushing, so it's good practice to balance productivity KPIs with quality KPIs (error rate, rework, complaints) to prevent gaming. For dashboards, the best leading KPIs are those teams can influence daily and that correlate strongly with satisfaction in your context.
NEW QUESTION # 44
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