220 likes | 552 Views
Performance Measurement: A Brief Introduction. For Kunuwanimano Child and Family Services. Outline. What is performance measurement? A proposed framework to measure performance What are indicators and how are they used to measure performance?
E N D
Performance Measurement: A Brief Introduction For Kunuwanimano Child and Family Services
Outline • What is performance measurement? • A proposed framework to measure performance • What are indicators and how are they used to measure performance? • Finessing KCFS’ draft Performance Measurement Framework
What is performance measurement? • Performance measurement for Kunuwanimano Child and Family Services : • what we want to achieve - to ‘make a difference’ • the steps - how the program will achieve its objectives • how we know the project is on track to achieve its objectives • identifying the quantity and quality of • identifying outcomes/impacts • linking actions and processes to inputs • It isn’t: • Activities • Managing • Auditing • Directional
Current Performance Measurement Framework Context • Goals and Activities taken from Kunuwanimano Strategic Plan • IOG drafted some performance indicators, outputs and outcomes. To be reviewed and revised with Kunuwanimano. • Our focus now will be on developing with staff and board members key performance indicators as reporting mechanisms that meet the needs of the Board and MCYS.
Performance Measurement Framework: A model Performance Components Performance Indicators Performance Monitoring and Reporting Continuous Quality Improvement 1. Quality Prevention Services Analysis & Learning Revision& Adjustment Measures (Quantitative & Qualitative) Data Collection Monitoring Accreditation 2.Operational Effectiveness and Efficiency Assessments 3. Readiness for Protection Services Public Reporting Foundations for the Performance Measurement Framework Funding, Human Resources, Integrated Data Systems
Developing Indicators • Specific, Measurable, Attributable, Robust, Timely (SMART) • Attractiveness / Feasibility • Linked to existing data collection where possible • Reduce data collection burden as much as possible • Aimed at particular levels of impact (Macro/Meso/Micro)