"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.

Advanced Requirements Management & Solution Evaluation


位教师:Igor Arkhipov
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您将学到什么
Learners will acquire expertise in requirements lifecycle management, from tracing and prioritization to approval and change assessment.
They will master solution evaluation techniques, enabling them to measure performance, analyze data, and recommend actions for increased value.
Learners will enhance their traceability skills, ensuring clear links between requirements and project outcomes.
They will develop strategic prioritization proficiency, facilitating effective project planning and resource allocation.
您将获得的技能
- Change Management
- Data Mining
- Analysis
- Performance Measurement
- Stakeholder Management
- Process Improvement
- Project Performance
- Jira (Software)
- Prioritization
- Root Cause Analysis
- Backlogs
- Requirements Management
- Business Analysis
- Data-Driven Decision-Making
- Solution Delivery
- Business Requirements
- 技能部分已折叠。显示 11 项技能,共 16 项。
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5 项作业
了解顶级公司的员工如何掌握热门技能

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该课程共有3个模块
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.
涵盖的内容
20个视频1篇阅读材料2个作业
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.
涵盖的内容
16个视频1篇阅读材料2个作业
涵盖的内容
1个作业
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显示 3/65 个
已于 Jul 7, 2025审阅
The material was informative, and the examples were a real plus.
已于 Mar 7, 2024审阅
concepts are explained in an easy to understand manner






