Working Backwards (Book)
Working Backwards is the book by Bill Carr and Colin Bryar that distils Amazon’s operating practices into reusable mechanisms for product development, metrics, organisation design, hiring, and decision-making.
Key facts
- Type: Business / operating-model book
- Authors in source: Bill Carr and Colin Bryar [src-018]
- Core subject: Amazon’s ways of working and process innovations [src-018]
- Practices discussed: Working Backwards, Single-Threaded Leadership, Input and Output Metrics, Bar Raiser Hiring, Disagree and Commit, PR FAQs, two-pizza teams, and memo-based decisions [src-018]
What it does
In the podcast, Carr frames the book as a way for other companies to stand on Amazon’s shoulders rather than imitate Amazon’s culture wholesale. The useful lesson is that Amazon’s practices were mechanisms: structured processes that reinforced customer obsession, ownership, speed, and standards as the company scaled [src-018].
Carr also warns that implementing these practices is not easy. Product-development and hiring-process changes often need CEO or C-level buy-in, and even smaller pilots require commitment and discipline through the awkward first months before teams become fluent [src-018].
Related
- See also: Bill Carr, Amazon, Working Backwards, PR FAQ, Single-Threaded Leadership, Input and Output Metrics, Bar Raiser Hiring
Source references
- [src-018] Lenny’s Podcast — “Unpacking Amazon’s unique ways of working | Bill Carr (author of Working Backwards)” (2023-11-02)
Keep reading from this thread
From 491 indexed pages and articles.
- Wiki concept Amazon A global technology and commerce company whose culture is framed around explicit Amazon Leadership Principles. Related by backwards
- Wiki concept Amazon Leadership Principles Amazon's explicit culture and decision-making system: a shared set of operating expectations used for hiring, product development, management, judgement Related by backwards
- Insight Recommendation Systems in Production How recommendation systems become production decisioning systems through signals, ranking, constraints, feedback loops, and experimentation Related by product