Susan Schanta has spent over 25 years managing large-scale programs and quality assurance projects in both new ventures and global Fortune 500 companies. She brings with her vast experience spanning the financial, healthcare, and retail domains. She has led corporate initiatives in business optimization, onshore-to-offshore transitions, and QA enterprises including SDLC management, automation, and performance. Susan’s expertise in industry-best practices and project execution has helped companies to achieve their goals. Her proven experience includes implementing lifecycle disciplines through change management, sharply reducing budget variances related to estimation techniques, improving performance of tiered applications, introducing new disciplines for UAT execution, and devising calibration methods to measure these achievements.
QUEST 2015 Conference and EXPO Sessions:
The User Acceptance Testing (UAT) phase can be in a word “chaotic.” What can be done to turn chaos into a productive collaboration between QA and the business? By Shifting Quality Left, we begin by creating workable event calendars, run books and cycle schedules for the business, and introduce a quality approach towards executing a “real world” representation of day-to-day operations. In Susan’s presentation you will learn how to introduce a disciplined approach to create a workable execution timeline, create transaction playbooks resulting in cross-functional team data sharing to emulate the data flow from one team to another. Susan demonstrates her approach to achieving a highly collaborative working environment between QA and the business that results in an increased level of commitment by all parties.
Create a timeline that represents the Test Phase: from System Integration Testing to User Acceptance Testing, and then the Go/No Go Decision Milestone. Learn how to create an event calendar, establish entry gates into UAT and achieve greater participation from the user community. Create a transaction playbook to build, back-up, share, and reuse data in an approach that emulates real world use.