Coaching in a data-driven world (#AgileDelivery 2017)

Slides from my talk at Agile.Delivery 2017 (agile.delivery) @nbrown02

Audio at - https://www.youtube.com/watch?v=ymBmetWWI9U

Transcript

1. #AgileDelivery2017 Coaching in a data-driven world Nicolas Brown, Agile Lead nicolas.brown@pwc.com @nbrown02
2. Which of the following best describes decision-making in your organisation? 8% Rarely data-driven Somewhat data-driven Highly data-driven 53% 39% PwC's Global Data and Analytics Survey: Big Decisions TM. Base: 2,106 senior executives
3. Agile experience in relation to hair Date 2017 2018 2016 2015 2014 ? Volume (hair) ? 2013
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. Coaching in a data-driven world Descriptive reporting
7. WIP Items Per Week What happened? What is happening?
8. Scatter Plot Retrospectives Let’s take anything above 10 days - what happened?
9. Scatter Plot Retrospectives Let’s take anything above 10 days - what happened? Data not available (improve DoR check) - Better BDD needed - Work as a team when it’s not working - Too long for PO feedback (20 days!) - Better DoR check needed as was not met PO Feedback Data not available (improve DoR check) Rework due to tech debt - Better DoR check needed - Flowed quickly once sat with the SME Delayed due to lack of clarity on deployment
10. Scatter Plot Retrospectives What is happening? Process Policies Process Policies Process Policies Continuous attention to technical excellence Process Policies Process Policies Feedback loops Feedback loops Feedback loops Feedback loops Process Policies
11. Coaching in a data-driven world Descriptive reporting Questions What happened? What is happening? Visuals Diagnostic discover & explore - WIP Items per Week - Cycle Time Scatter Plot - Net flow per week - Epic/Feature Progress
12. Stuck Work Where is the problem? What are the trends? Why is it happening?
13. Estimate Correlation What happened? #NoEstimates? Why is it happening?
14. Coaching in a data-driven world Descriptive reporting Questions Where is the problem? Why is it happening? What are the trends? What happened? What is happening? Visuals Diagnostic discover & explore Predictive forecast - WIP Items per Week - Cycle Time Scatter Plot - Net flow per week - Epic/Feature Progress - Stuck Work - Flow Efficiency - Estimate Correlation - Cumulative Flow Diagram
15. Predictive - Landing Zone (Burn-up) What is likely to happen? What options are there?
16. Potentially Deliverable Scope (PDS) What options are there? What is likely to happen?
17. Coaching in a data-driven world Descriptive reporting Questions Where is the problem? Why is it happening? What are the trends? What happened? What is happening? Visuals Diagnostic discover & explore Predictive forecast Prescriptive anticipative - WIP Items per Week - Cycle Time Scatter Plot - Net flow per week - Epic/Feature Progress - Stuck Work - Flow Efficiency - Estimate Correlation - Cumulative Flow Diagram - PDS - Landing Zone (Burn-up) - Throughput Forecaster - Monte Carlo: How Many? What is likely to happen? What options are there?
18. WIP by Person What should I do?
19. Stale Work What is the next best action?
21. “When a measure becomes a target, it ceases to be a good measure” - Charles Goodhart
22. Goodhart’s law... “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”
23. “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.” - Dr Thomas Webb
24. The Ostrich Problem... “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”
25. Coaching in a data-driven world Descriptive reporting Questions Where is the problem? Why is it happening? What are the trends? What happened? What is happening? Visuals What should I do? What is the next best action? Diagnostic discover & explore Predictive forecast Prescriptive anticipative - WIP Items per Week - Cycle Time Scatter Plot - Net flow per week - Epic/Feature Progress - Stuck Work - Flow Efficiency - Estimate Correlation - Cumulative Flow Diagram - Stale Work - WIP by Person - In Progress Item Age - Requirements Readiness - PDS - Landing Zone (Burn-up) - Throughput Forecaster - Monte Carlo: How Many? What is likely to happen? What options are there?
26. 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.
27. © 2017 PwC. All rights reserved. PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Please see www.pwc.com/structure for further details. Nicolas Brown, Agile Lead nicolas.brown@pwc.com @nbrown02 Thank you!