In this book, Barrett and Greene will present evolving theories of performance management, the practices necessary for a good performance-based government, and the pitfalls that can easily be encountered along the wayâ and how to avoid them.
In this book, Barrett and Greene will present evolving theories of performance management, the practices necessary for a good performance-based government, and the pitfalls that can easily be encountered along the wayâ and how to avoid them.
Acknowledgements Preface About the Authors 1. Overview 2. Challenges Sustainability The human element Differing perspectives 3. Benefits Exhibit A: Montgomery County A catalogue of benefits San Jose, California Minnesota Wisconsin Indiana Denver, Colorado King County, Washington Case Study - New Orleans: Shock Therapy 4. History Progress at the state level Our ringside view Federal advances Box: Building the federal performance infrastructure Ups and downs Alternate approaches Box: Five major changes over the last thirty years Case study - Service Efforts and Accomplishments 5. Outcomes Knowing the goal Box: The demise of Oregon Benchmarks Striving for efficiency Selecting top-level measures Citizen surveys Connecting to national measures Case study - Washington: Cross-agency collaboration 6. Performance Budgeting Performance budgeting legislation Impediments Attention to evidence Budget execution The environment matters Case study - Austin: A budget with a vision Case study - Illinois: Unrealistic expectations 7. Pitfalls Insufficient resources Lack of data expertise Weak internal training Counterproductive incentives Slow response Lack of sustainability The practitioner-academic disconnect Fear of adverse reaction Too much hype Flaws with targets A limited focus Neglect of intractable problems Legislative indifference Politics trumps management Checklist: Rx for Pitfalls 8. Buy-In Resisters Accountability vs. performance improvement Agency ownership Stat evolution A collaborative approach Case study -- Colorado Q&A on achieving buy-in 9. Validation Consequences of bad data Bad data and drugs Inconsistent comparisons Data fudging and outright cheating Verification A path forward Box: The roots of inaccuracy Sloppy data Ineffective system controls Inconsistent information and changing definitions Privatization/contractor/third party issues Case study - New York: Changing the definitions 10. Data progress Service delivery Open data Data sharing Data governance The push for more helpful data Box - Outdated technology Box: The path forward Case study - Little Rock, Arkansas: Of data and human beings 11. Evaluation Evaluation on the frontlines Shifting the paradigm Box: The evidence movement Box: A cost-benefit approach Case study -- Los Angeles: Solving a police recruiting puzzle Resources Glossary Index
Acknowledgements Preface About the Authors 1. Overview 2. Challenges Sustainability The human element Differing perspectives 3. Benefits Exhibit A: Montgomery County A catalogue of benefits San Jose, California Minnesota Wisconsin Indiana Denver, Colorado King County, Washington Case Study - New Orleans: Shock Therapy 4. History Progress at the state level Our ringside view Federal advances Box: Building the federal performance infrastructure Ups and downs Alternate approaches Box: Five major changes over the last thirty years Case study - Service Efforts and Accomplishments 5. Outcomes Knowing the goal Box: The demise of Oregon Benchmarks Striving for efficiency Selecting top-level measures Citizen surveys Connecting to national measures Case study - Washington: Cross-agency collaboration 6. Performance Budgeting Performance budgeting legislation Impediments Attention to evidence Budget execution The environment matters Case study - Austin: A budget with a vision Case study - Illinois: Unrealistic expectations 7. Pitfalls Insufficient resources Lack of data expertise Weak internal training Counterproductive incentives Slow response Lack of sustainability The practitioner-academic disconnect Fear of adverse reaction Too much hype Flaws with targets A limited focus Neglect of intractable problems Legislative indifference Politics trumps management Checklist: Rx for Pitfalls 8. Buy-In Resisters Accountability vs. performance improvement Agency ownership Stat evolution A collaborative approach Case study -- Colorado Q&A on achieving buy-in 9. Validation Consequences of bad data Bad data and drugs Inconsistent comparisons Data fudging and outright cheating Verification A path forward Box: The roots of inaccuracy Sloppy data Ineffective system controls Inconsistent information and changing definitions Privatization/contractor/third party issues Case study - New York: Changing the definitions 10. Data progress Service delivery Open data Data sharing Data governance The push for more helpful data Box - Outdated technology Box: The path forward Case study - Little Rock, Arkansas: Of data and human beings 11. Evaluation Evaluation on the frontlines Shifting the paradigm Box: The evidence movement Box: A cost-benefit approach Case study -- Los Angeles: Solving a police recruiting puzzle Resources Glossary Index
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