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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.

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