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Engineering Manager's Handbook

You're reading from   Engineering Manager's Handbook An insider's guide to managing software development and engineering teams

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781803235356
Length 278 pages
Edition 1st Edition
Concepts
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Author (1):
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Morgan Evans Morgan Evans
Author Profile Icon Morgan Evans
Morgan Evans
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Table of Contents (24) Chapters Close

Preface 1. Part 1: The Case for Engineering Management FREE CHAPTER
2. Chapter 1: An Introduction to Engineering Management 3. Chapter 2: Engineering Leadership Styles 4. Chapter 3: Common Failure Modes for New Engineering Managers 5. Part 2: Engineering
6. Chapter 4: Leading Architecture 7. Chapter 5: Project Planning and Delivery 8. Chapter 6: Supporting Production Systems 9. Part 3: Managing
10. Chapter 7: Working Cross-Functionally 11. Chapter 8: Communicating with Authority 12. Chapter 9: Assessing and Improving Team Performance 13. Chapter 10: Fostering Accountability 14. Chapter 11: Managing Risk 15. Part 4: Transitioning
16. Chapter 12: Resilient Leadership 17. Chapter 13: Scaling Your Team 18. Chapter 14: Changing Priorities, Company Pivots, and Reorgs 19. Part 5: Long-Term Strategies
20. Chapter 15: Retaining Talent 21. Chapter 16: Team Design and More 22. Index 23. Other Books You May Enjoy

Assessing engineering teams

As engineering managers, we need to be able to accurately and consistently assess our teams. This is necessary to support and grow our engineering team’s output, but also critically important to be prepared for times when the team’s performance comes into question by others. When your stakeholders or company leadership question your team’s performance, having a deep understanding of your performance trends and the data to support that will make your job much easier. Instead of reacting with uncertainty, maintain a working knowledge of team performance.

Assessing engineering teams comprehensively is hard to do. We may have gut feelings, the opinions of outside stakeholders, or raw measures such as lines of code written, but each of these can turn out to be poor indicators of team performance. In the search for an understanding of team performance, it is easy to go down the wrong path and arrive at the wrong conclusions. To avoid this...

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