AI Product Strategy and Focus

Problem Discovery Process#

Effective AI product strategy begins with thorough problem identification:

Customer Research:#

• User Interviews: Understanding real pain points and challenges
• Workflow Analysis: Mapping current processes and identifying inefficiencies
• Pain Point Mapping: Quantifying the impact of different problems

Business Impact Assessment:#

• Cost Analysis: Calculating the financial impact of current problems
• Efficiency Metrics: Measuring time and resource waste
• Quality Issues: Identifying errors, mistakes, and quality problems

Problem Prioritization Framework#

Not all problems are equally worth solving:

Impact vs. Feasibility Matrix:#

• High Impact, High Feasibility: Quick wins with significant benefits
• High Impact, Low Feasibility: Strategic initiatives requiring more investment
• Low Impact, High Feasibility: Efficiency improvements with limited benefits
• Low Impact, Low Feasibility: Initiatives to avoid or defer

Resource Considerations:#

• Development Time: How long will it take to build the solution
• Technical Complexity: Required expertise and technology stack
• Integration Requirements: How easily it fits into existing systems