Agile Requirements Foundations
- Offered byLinkedin Learning
Agile Requirements Foundations at Linkedin Learning Overview
Duration | 2 hours |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Agile Requirements Foundations at Linkedin Learning Highlights
- Earn a certificate of completion from LinkedIn Learning
Agile Requirements Foundations at Linkedin Learning Course details
- Learn the mindset and techniques necessary to discover requirements for an agile project and succeed in the business analyst (BA) role
- Angela Wick reviews the 12 agile principles from a BA's perspective, introduces backlog management techniques, and discusses techniques such as product decomposition, user stories and story maps, which help BAs deliver products that truly delight customers
- Plus, find out what concepts such as "minimum viable product" and "value stream" mean to people in the BA role
Agile Requirements Foundations at Linkedin Learning Curriculum
Introduction
Welcome
What you need to know
Using the exercise files
1. Agile and the Business Analyst
The business analyst role in agile
The agile manifesto from a business analyst perspective
Agile principles 1?4 from a business analyst perspective
Agile principles 5?8 from a business analyst perspective
Agile principles 9?12 from a business analyst perspective
2. Agile Point of View
The business analyst point of view on an agile team
Key agile mindsets of business analysts
Increments of value
Volatility, uncertainty, complexity, and ambiguity (VUCA)
Day in the life of an agile business analyst
3. Backlog Management
A healthy backlog
Ownership of the backlog
Level of detail in the backlog
Refining the backlog
Analyzing the backlog
Collaborating with the product owner on the backlog
4. Techniques for Agile Business Analysts
Product decomposition
Context techniques
User stories
Acceptance criteria
User story maps
Story slicing and splitting
Lightweight modeling
5. Agile Concepts for Business Analysts
Last responsible moment
Minimum viable product (MVP)
Experiments
Value stream
Outcome-focused
Who is the customer?
Conclusion
Next steps