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Where I Think “Agile” is Headed, Part 2: Where Does Management Fit?

Johanna Rothman

In Part 1 , I wrote about how “Agile” is not a silver bullet and is not right for every team and every product. This post is about how management fits into agile approaches. Too often, managers think “agile” is for others, specifically teams of people. Managers Create and Refine the Culture.

Agile 95
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Simple Ethics Rules for Better Risk Management

Harvard Business

For far too long, managing risk has been seen as an esoteric business function — designed to control losses and adhere to compliance standards. Leaders who practice what they preach, have conviction, and lead by example are better at managing risks than those that merely pay lip service to ethics, value systems, or codes of conduct.

Ethics 130
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Unemployed Agilists: How to Show Your Value to Support What Managers Want, Part 1

Johanna Rothman

Every day, I hear more stories of agile coaches or Scrum Masters losing their jobs. Several reasons: No manager cares about “agile” even if they care about agility. So, selling “agile” into the organization doesn’t create any traction for change. You might not like these ideas.

Agile 98
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Create More Management Transparency

Johanna Rothman

In the agile and lean communities, we talk a lot about transparency. This image is the transparency principle we used in From Chaos to Distributed Agile Teams. I see many organizations succeed better when the less the manager knows, the better the team works. That's because the managers don't explain: Why this product.

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Do You Know What Your Company’s Data Is Worth?

Harvard Business

For example, at the end of its 2015 fiscal year, Apple’s balance sheet stated tangible assets of $290 billion as a contribution to its annual revenues, with approximately $141 billion worth of intangible assets — a combination of intellectual capital, brand equity, and (investor and consumer) goodwill.

Data 70
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Fulfilling the Promise of AI Requires Rethinking the Nature of Work Itself

Harvard Business

These fears aren’t unfounded: managers across industries have cost targets and technology enables lower-value tasks to move from people to machines. This is true both for “on balance sheet” workers and the gig economy. Everywhere today the news confronts us with deeply held fears of AI and automation.