Advanced Requirements Management & Solution Evaluation
Offered By: Starweaver via Coursera
Course Description
Overview
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"Advanced Requirements Management & Solution Evaluation" is an intensive course that equips learners with expertise in managing requirements throughout their lifecycle and evaluating solution performance. Delve into traceability, prioritization, and approval of requirements, with hands-on experience in techniques like prioritization and backlog management in tools like Jira. Module 7 focuses on solution evaluation, encompassing performance measurement, root cause analysis, and assessing limitations at both solution and enterprise levels. By the end of this course, you'll be adept at ensuring the success of business projects through effective requirements management and solution evaluation.
This course is tailored for experienced business analysts, project managers, and professionals responsible for requirements management and solution evaluation. It is designed to enhance the skills of those seeking to excel in these critical aspects of business analysis and make data-driven decisions to drive organizational success.
Participants should have a foundational understanding of business analysis principles and techniques. Prior experience in business analysis or related roles is highly beneficial. Familiarity with project management practices and basic business operations will enhance the learning experience. This course is suitable for individuals looking to advance their expertise in requirements management and solution evaluation, irrespective of their prior knowledge level.
Syllabus
- Requirements Lifecycle Management
- This module focuses on managing requirements throughout their lifecycle, from tracing and maintaining them to prioritizing, assessing changes, and obtaining approval. Various techniques and tools are explored to ensure effective requirements management.
- Solution Evaluation
- In this module, you will learn about evaluating solutions and measuring their performance. Techniques like root cause analysis, data mining, and lessons learned are employed to analyze solution limitations and recommend actions for increasing solution value.
- Final Assessment
Taught by
Igor Arkhipov
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