4. Problem Scoping
Problem scoping is a critical first step in AI project development, focusing on clearly defining the problem before solution implementation. Understanding the nature, impact, and requirements of a problem ensures the development of efficient AI solutions. The chapter emphasizes using methodologies like the Four Ws and the Problem Canvas to organize and structure problem identification effectively.
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Sections
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What we have learnt
- Problem Scoping is essential before building AI solutions.
- Ask Who, What, Where, Why to understand the problem better.
- Use a Problem Canvas to structure your problem.
- Clearly identify stakeholders, constraints, and success criteria.
- A well-scoped problem leads to a successful AI project.
Key Concepts
- -- Problem Statement
- A brief description of what needs to be solved.
- -- Four Ws
- A methodology involving Who, What, Where, and Why to thoroughly understand the problem context.
- -- Problem Canvas
- A visual tool that structures information gathered during problem scoping into defined sections.
- -- Stakeholders
- People or entities directly or indirectly affected by the problem.
- -- Success Criteria
- Metrics that will determine if the problem is successfully solved.
Additional Learning Materials
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