Presentation: Metrics-Driven Prioritization
Prioritization is one of the toughest aspects of software product-development. In these days of being agile and running lean, we don't want to prioritize our backlog by fiat, politics, or gut-feel. Teams need to be aligned to accomplish core business objectives and need tight feedback loops with the customer and stakeholders in order to achieve those objectices. To accomplish this level of cross-functional product development maturity, we must combine data from a number of sources to quantitatively optimize development.
In this talk, I will outline an approach we are using at Neo to help our clients integrate business metics and probabilistic modeling into their prioritization process. Leveraging data from business KPIs, the product development team's own performance metics, and feedback from in-production experiments and A/B tests, I'll illustrate a straightforward yet rigorously quantitative method of prioritizing feature development to focus on achieving business and product outcomes, not simply producing technology outputs.
Tracks
Covering innovative topics
Monday, 3 November
-
Architectures You've Always Wondered about
The newest and biggest Internet architectures
-
Real World Functional
Putting functional programming concepts to work in the real world.
-
The Future of Mobile
The future of mobile and performance improvements
-
Continuous Delivery: From Heroics to Becoming Invisible
Continuous Delivery philosophies, cultures, hiccups, and best practices.
-
Unleashing the Power of Streaming Data
This track explores a variety of use-cases, platforms, and techniques for processing and analyzing stream data from the companies deploying them at scale!
-
Sponsored Solutions Track I
Tuesday, 4 November
-
Engineering for Product Success
Architectures that make products more successful
-
Reactive Service Architecture
Reactive, Responsive, Fault Tolerant and More.
-
Modern CS In the Real World
How modern CS tackles problems in the real world.
-
Applied Machine Learning and Data Science
Understand your big big data!
-
Deploying at Scale
Containerizing Applications, Discovering Services, and Deploying to the Grid.
-
Sponsored Solutions Track II
Wednesday, 5 November
-
Beyond Hadoop
Emerging Big Data Frameworks and Technology
-
Scalable Microservice Architectures
This track addresses the ways companies with hundreds of fine-grained web-services (e.g. Netflix, LinkedIn) manage complexity!
-
Java at the Cutting Edge
The latest and greatest in the Java ecosystem
-
Engineering culture
Successes and failures in creating an engineering culture.
-
Next gen HTML5 and JS
How Web Components, the Future of CSS, and more are changing the web.
-
Sponsored Solutions Track III