Coaching in a data-driven world (#ABE17)

Slides from my talk at AgileByExample 2017 (https://agilebyexample.com) @nbrown02

Video at - https://www.youtube.com/watch?v=aT1fof7wiDw

Transcript

1. #ABE17 Coaching in a data-driven world Client Logo 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 2
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. 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. Predictive - Landing Zone (Burn-up) What is likely to happen? What options are there?
9. Predictive - Potentially Deliverable Scope (PDS) What options are there? What is likely to happen?
10. Prescriptive - WIP by Person What should I do? What is the next best action?
11. Watch out for... “When a measure becomes a target, it ceases to be a good measure” Goodhart’s Law The Ostrich Problem “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” “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.”
12. 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 - Throughput Forecaster - Monte Carlo: How Many? What is likely to happen? What options are there?
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. © 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 and please give feedback!