Big Apple Scrum Day 2019

May 10 | Hotel Pennsylvania | New York, NY
About Big Apple Scrum Day 2019

Big Apple Scrum Day (BASD) is a one day community conference, organized by members of NYC Scrum User Group and focused on Scrum/Agile principles and practices. For the fifth consecutive year, BASD brings together agile practitioners with all levels of experience to share knowledge, discover new practices and reconnect with their tribe.

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Conference Location

401 7th Ave, New York, NY 10001

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Here's what we are talking about!
Making Agile Work for Data Teams: Building Better Backlogs for Data...
By Mathias Eifert
Measuring Flow: Metrics that Matter
By Julie Wyman and Hunter Tammaro
Making Agile Work for Data Teams: Building Better Backlogs for Data Products
By Mathias Eifert
Presentation time
May 10th
2:00p.m.
Register Now!

Curious why Agile for data teams is a distinct challenge? Wondering why your data teams struggle to create useful, valuable stories?
We’ll discuss reasons why data work is often structured more like a pyramid than the familiar “layer cake” and how full-stack vertical slices present significant challenges since they easily become too complex, interdependent, and unwieldy for fixed-length sprints. Traditional user stories also don’t accommodate the highly exploratory nature of advanced analytics and data science projects where end users lack awareness of value opportunities, while technical experts can’t easily predict what is actually possible.
Based on one of Agile’s first principles to obtain feedback on feasibility and end user value as quickly and systematically as possible, this session presents lessons learned across multiple teams from applying alternative approaches to Product Backlog Items for data products that support small, independent stories while still maintaining a value focus. We’ll discuss ways to decouple the technical stack through stubbing and gradual tightening of the Definition of Done, as well as Lean Startup concepts and hypothesis-driven development (HDD) approaches that allow for explicit experimentation and risk trade-offs towards relevant milestones such as model quality or performance in the context of extreme uncertainty.
Join us as we discuss some of the friction Agilists can encounter on data teams, as well as some validated ideas for meaningful solutions.

Measuring Flow: Metrics that Matter
By Julie Wyman and Hunter Tammaro
Presentation time
May 10th
2:15p.m.
Register Now!

Flow metrics are common with Kanban, but can provide tremendous value to any team, including those using Scrum. In this workshop, we’ll start by exploring the value of achieving a smooth flow of work (versus simply achieving maximum utilization) and introduce the flow metrics of lead and cycle time, throughput, and the cumulative flow diagram. We'll review what each represents, discuss easy ways to collect them, and show how they are similar and different from common Scrum metrics. As each metric is introduced, we will provide examples to review and discuss, practicing how to read and interpret them in order to find opportunities for team improvement. You will leave the workshop knowing how to interpret and capture all these valuable metrics, so your agile team can improve its flow!

Making Agile Work for Data Teams: Building Better Backlogs for Data...
By Mathias Eifert

Curious why Agile for data teams is a distinct challenge? Wondering why your data teams struggle to create useful, valuable stories?
We’ll discuss reasons why data work is often structured more like a pyramid than the familiar “layer cake” and how full-stack vertical slices present significant challenges since they easily become too complex, interdependent, and unwieldy for fixed-length sprints. Traditional user stories also don’t accommodate the highly exploratory nature of advanced analytics and data science projects where end users lack awareness of value opportunities, while technical experts can’t easily predict what is actually possible.
Based on one of Agile’s first principles to obtain feedback on feasibility and end user value as quickly and systematically as possible, this session presents lessons learned across multiple teams from applying alternative approaches to Product Backlog Items for data products that support small, independent stories while still maintaining a value focus. We’ll discuss ways to decouple the technical stack through stubbing and gradual tightening of the Definition of Done, as well as Lean Startup concepts and hypothesis-driven development (HDD) approaches that allow for explicit experimentation and risk trade-offs towards relevant milestones such as model quality or performance in the context of extreme uncertainty.
Join us as we discuss some of the friction Agilists can encounter on data teams, as well as some validated ideas for meaningful solutions.

Measuring Flow: Metrics that Matter
By Julie Wyman and Hunter Tammaro

Flow metrics are common with Kanban, but can provide tremendous value to any team, including those using Scrum. In this workshop, we’ll start by exploring the value of achieving a smooth flow of work (versus simply achieving maximum utilization) and introduce the flow metrics of lead and cycle time, throughput, and the cumulative flow diagram. We'll review what each represents, discuss easy ways to collect them, and show how they are similar and different from common Scrum metrics. As each metric is introduced, we will provide examples to review and discuss, practicing how to read and interpret them in order to find opportunities for team improvement. You will leave the workshop knowing how to interpret and capture all these valuable metrics, so your agile team can improve its flow!