Overview:

Introduction:

Practitioners consider selection and data gathering worldwide to be the most challenging aspects of working with Key Performance Indicators (KPIs). A way to address these challenges is to build a sound framework to measure KPIs, starting from the moment they are selected, until results are collected to be centralized in performance reports.

Course Objectives:

At the end of this course the participants will be able to:

• Understand KPI measurement challenges and how to address them;
• Select KPIs for scorecards and dashboards from the organizational to the departmental and individual levels;
• Develop a KPI implementation project plan;
• Optimize the KPI activation and data gathering process.
• Differentiate between objectives, KPIs, and initiatives;
• Understand KPI selection in different contexts;

Targeted Audience:

• Professionals interested in measuring performance
• Top/middle/lower management professionals
• Performance measurement experts

Course Outlines:

Unit 1: The World of KPIs

• Challenges in performance measurement;
• The value added by KPIs;
• KPIs concept map;
• Governance;
• Organizational levels.

Understanding KPIs

• KPI related terminology;
• SMART objectives are decomposed by specific criteria;
• KPI lifecycle.

Unit 2:  KPI typology

• Leading vs. lagging KPIs;
• Qualitative vs. quantitative KPIs;
• Efficiency vs. effectiveness KPIs.

KPI Taxonomy

• Interdisciplinary systemic worldview;
• KPI use case scenarios;
• KPI DNA map.

Unit 3: KPI selection

• KPI selection for organizational scorecard;
• KPI selection sources;
• KPI selection techniques.

KPI Alignment

• KPI alignment approaches
• KPI selection for corporate scorecard;
• KPIs cascaded to the functional area.

Unit 4: KPI documentation

• KPI documentation form functions;
• KPI documentation form design;
• KPI documentation process;
• Organizational KPI libraries.

Working with targets

• Target setting process;
• Targets in practice;
• Challenges in working with targets;
• Negative behaviors when setting targets.

Unit 5:

Data gathering

• Data quality dimensions;
• KPI reporting data sources;
• KPI activation tools;
• KPI activation techniques;
• Working with data custodians;
• Data collection methods.

Data visualization

• Guidelines for designing efficient templates;
• Usability in terms of visual design.
• Guidelines for designing efficient templates;
• Usability in terms of visual design;
• Scorecard and dashboard design.