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The Development Metrics You Should Use (but Don’t)

Catherine Swetel | GOTO Chicago 2018

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Have you ever had a gut feeling a project is about to go off course but no way to validate (or invalidate) that feeling? Has your team ever been burned by an inaccurate estimate or unreasonable expectation? Have you ever wished you could peer a bit into the future? Navigating the uncertainty of knowledge work is often difficult and uncomfortable. During this session, learn new ways to visualize your team’s reliability and variability of delivery using the data you already collect. Instead of relying entirely on your gut or laboring over estimates, learn to articulate trade offs, predict outcomes and describe their likelihood. While this session doesn’t teach you to eliminate uncertainty or allow you to see the future, it does provide you with tools to explore and chart a reasonable course through the inherent ambiguity of knowledge work. Angry optimist imagining more equitable futures through technology.

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Transcript

Have you ever had a gut feeling a project is about to go off course but no way to validate (or invalidate) that feeling? Has your team ever been burned by an inaccurate estimate or unreasonable expectation? Have you ever wished you could peer a bit into the future?

Navigating the uncertainty of knowledge work is often difficult and uncomfortable. During this session, learn new ways to visualize your team’s reliability and variability of delivery using the data you already collect. Instead of relying entirely on your gut or laboring over estimates, learn to articulate trade offs, predict outcomes and describe their likelihood. While this session doesn’t teach you to eliminate uncertainty or allow you to see the future, it does provide you with tools to explore and chart a reasonable course through the inherent ambiguity of knowledge work.

Angry optimist imagining more equitable futures through technology.

About the speakers

Catherine Swetel

Catherine Swetel

Once described as the Altoids of Lean-Agile feminism