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Overview
The Problem Analysis scenario is designed to help teams systematically analyze and synthesize information related to a specific issue. This process utilizes various analytical methods to uncover root causes, assess strengths and weaknesses, and generate actionable recommendations.
Contexts
The analysis will consider the following contexts:
Project: Purpose
Project: Features / Advantages
Project: Target Audience
Project: Tech Stack
Jira issue (full context)
Steps
1. Analyze with 5 Whys
Input: Jira issue description and context
AI Task: Utilize the "5 Whys" method to analyze the problem by continuously asking "Why?" to uncover the root cause.
Output: A concise problem statement that clearly identifies the root cause.
2. Explore Perspectives (6 Hats)
Input: Jira issue description and context
AI Task: Implement the Six Thinking Hats method:
White Hat: Analyze facts and data.
Red Hat: Consider emotions and intuition.
Black Hat: Identify risks and challenges.
Yellow Hat: Explore benefits and opportunities.
Green Hat: Generate creative ideas and solutions.
Blue Hat: Summarize and control the process.
Output: Insights categorized according to each hat's perspective.
3. Conduct SWOT Analysis
Input: Jira issue description and context
AI Task: Execute a SWOT analysis:
Strengths: Identify internal advantages related to the issue.
Weaknesses: Recognize internal limitations or challenges.
Opportunities: Highlight external factors that can be leveraged.
Threats: Assess external risks or obstacles.
Output: A SWOT matrix containing actionable insights.
4. Prioritize with Pareto Analysis
Input: Jira issue description and context
AI Task: Use Pareto Analysis to prioritize causes by identifying all contributing factors or challenges and ranking them based on their impact.
Output: A prioritized list of causes or challenges.
5. Combine Method Outcomes
Input: Results from all independent analysis steps
AI Task: Synthesize findings from all methods into a cohesive analysis by identifying recurring themes and key insights.
Output: A unified problem overview with prioritized areas for action.
6. Define Desired Impact
Input: Combined analysis from Step 5
AI Task: Specify the desired user experience and business outcomes.
Output: A list of specific improvements with clear benefits for users and the business.
7. Define Metrics for Success
Input: Desired outcomes from Step 6
AI Task: Identify measurable KPIs to track the solution's success, aligning them with business and user objectives.
Output: A set of 5-10 KPIs with baseline data and target improvements.
8. Generate Actionable Recommendations
Input: Combined analysis, desired outcomes, and KPIs
AI Task: Propose actionable recommendations to tackle the problem, prioritizing the most impactful actions.
Output: A list of prioritized actions with expected outcomes and associated KPIs.