According to studies, 64 percent of features in systems are rarely—or never—used. How does this happen? Today, the work of eliciting the customers' true needs, which often remains elusive, can be enhanced using data-driven requirements techniques. Brandon Carlson describes why traditional requirements analysis is so difficult and presents a set of seven data collection approaches and analysis techniques you can employ on your projects right away. Learn how to instrument existing applications and develop new requirements based on operational profiles of the current system. Learn to use A/B testing—a technique for trying out and analyzing alternative implementations—on your current system to determine which new features will deliver the most business value. With these tools at hand, you can help users and business stakeholders decide the best approaches and new features to meet their real needs. Now is the time to take the guesswork out of requirements and get the facts.
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BW6 Concurrent�Session�11/13/2013�2:15�PM�
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"Data Collection and Analysis for Better Requirements"
A self-proclaimed nerd, Brandon Carlson works for Lean TECHniques, Inc., an IT consultancy that helps teams deliver high-value, high-quality products to market. Since starting his career in 1995, Brandon has held positions from development and architecture to management—and he’s still learning. Passionate about elevating the performance of IT as a whole, he has helped numerous organizations from startups to Fortune 100 companies improve their product development and delivery systems. Brandon’s current interests include data-driven product definition/development and professionalism in the world of software development. He can be reached on Twitter and pretty much everywhere else on the web as “bcarlso.” Read his blog at bcarlso.net/.
Just The Facts Ma’amData Collection and Analysis for Better