Lies, damned lies and Statistics!

(the phrase is frequently attributed to the British Prime Minister Benjamin Disraeli).

Many of us work in environments that value Agility or are at least attempting to be more Agile.

We frequently turn to data, metrics, reports to help us navigate through our complex software environments, to help make sense of what's happening, to support subjective information we see around us and gain insights about the way we work.

But with the myriad of reports and metrics available to us, it is easy to misinterpret, over-analyze, overlook and generally make a big mess of things.

Through this talk, I will present some of the popular Agile reports and metrics and how they can be misread.

I will also share tips of how to counter some of these "lies".

 
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Outline/structure of the Session

  • Why data is important - 10 mins
  • Popular Agile reports and metrics - 10 mins
  • Examples of data misinterpretation - 20 mins
  • How can we avoid this data-trap - 10 mins

Learning Outcome

The audience will become familiar with some of the common mistakes while working with data

The audience will learn some techniques of how to avoid these mistakes

Target Audience

Leaders, Managers, Scrum Masters, Product Owners, PMO

Prerequisite

Some familiarity with popular Agile reports and metrics (like Sprint burn-down charts, Velocity Charts, Cycle Time, Test Automation Coverage etc)

schedule Submitted 6 months ago

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