1. Coaching in a data-driven world
#ABE17
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Nicolas Brown, Agile Lead
@nbrown02

2. 8%
Rarely data-driven
Which of the following best describes decision-making in your organisation?
53%
Somewhat data-driven
39%
Highly data-driven
PwC's Global Data and Analytics Survey: Big Decisions TM. Base: 2,106 senior executives

3. Agile experience in relation to hair (hair) ? Volume ? 2013 2014 2015
2016
2017
2018
Date

4. Our Agile roots...
Transparency
Inspection
Adaptation
Scrum

5. Data-based coaching uses data visualisation as a basis for safe conversations and open questions, as well as facilitating more informed, transparent decision making whilst staying true to our Agile roots...

6. Descriptive - WIP Items Per Week
What happened?
What is happening?

7. Diagnostic - Stuck Work
Where is the problem?
What are the trends?
Why is it happening?

8. What is likely to happen?
Predictive - Landing Zone
What options are there?
What is likely to happen?

9. What is likely to happen?
Predictive - Potentially Deliverable Scope (PDS)
What options are there?
What is likely to happen?

10. What is the next best action?
Prescriptive - WIP by Person
What is the next best action?
What should I do?

11. Watch out for... Goodhart’s Law The Ostrich Problem
“When a measure becomes a target, it ceases to be a good measure”
“The ostrich problem includes situations in which people receive relevant information but intentionally fail to evaluate the implications for their goal progress - in other words, they reject the information.”
“I’m working on that card but didn’t want to move it forward on the board because it would mean we go over our WIP limit”
“Hmm….let’s see how we get on for the next 4 weeks before we show the data of what we can deliver to the business”

12. Coaching in a data-driven world
Descriptive
reporting
Diagnostic
discover & explore
Predictive
forecast
Prescriptive
anticipative
Coaching in a data-driven world
What should I do? What is the next best action?
Where is the problem?
Why is it happening?
What are the trends?
What is likely to happen?
What options are there?
What happened?
What is happening?
Questions
- WIP Items per Week - Cycle Time Scatter Plot - Net flow per week - Epic/Feature Progress
- Stuck Work - Flow Efficiency
- Estimate Accuracy - Cumulative Flow Diagram
- PDS - Landing Zone - Throughput Forecaster - Monte Carlo: How Many?
- Stale Work - WIP by Person - In Progress Item Age - Requirements Readiness
Visuals

13. Further reading
Troy Magennis - Focused Objective - bit.ly/SimResources
Bazil Arden - Try data-based coaching to counteract cognitive biases - tiny.cc/bazil1
Bazil Arden - How data-based coaching enhances psychological safety - tiny.cc/bazil2
Dan Vacanti - Actionable Agile Metrics for Predictability - tiny.cc/danvac
Goodhart, Charles (1981). "Problems of Monetary Management: The U.K. Experience"
Webb, T., Chang, B. and Benn, Y. (2013). ‘The Ostrich Problem’: Motivated Avoidance or Rejection of Information About Goal Progress.

14. Thank you and please give feedback!
Nicolas Brown, Agile Lead
@nbrown02
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