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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:

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Project: Purpose

Description

Discover root causes and key insights to resolve problems effectively using structured methodologies.

Version

Status
title1.0

Pre-selected AI

Status
colourBlue
titleAnthropic: Claude 3.5 Sonnet

Contexts

Jira issue (full context) Project: Purpose Project: Features / Advantages

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Project: Target Audience

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Project: Tech Stack

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Steps

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5 Whys

  • Input: Jira issue description and context

  • AI Task:

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  • Use the "5 Whys" method to

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  • uncover the root cause:

    • Repeatedly ask "Why?" to drill down to

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    • the

...

    • underlying problem.

  • Output: A concise

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  • table:

    • Why Level: Iteration of "Why?" (1st, 2nd, etc.).

    • Identified Cause: Specific issue identified.

    • Impact: Description of its impact.

1

Six Hats

  • Input: Jira issue description and context

  • AI Task:

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  • Apply the Six Thinking Hats

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  • to generate diverse insights:

  • 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.

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Output: Insights categorized according to each hat's perspective.

    • Analyze the issue from logical, emotional, risk, optimistic, creative, and process-control perspectives.

  • Output: A table:

    • Hat Type: The thinking perspective (e.g., Red Hat, Yellow Hat).

    • Key Insight: Insight derived from that perspective.

2

SWOT Matrix

  • Input: Jira issue description and context

  • AI Task:

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  • Perform a SWOT analysis

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  • to evaluate the issue

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  • :

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    • Identify internal strengths and weaknesses.

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    • Highlight external

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Threats: Assess external risks or obstacles.

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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.

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    • opportunities and threats.

  • Output: A structured SWOT table:

    • Category: Strengths, Weaknesses, Opportunities, or Threats.

    • Detail: Description of the insight.

3

Prioritize Issues

  • Input: Outputs from prior analyses

  • AI Task: Apply Pareto Analysis to prioritize challenges:

    • Rank top 20% of causes contributing to 80% of the problem.

  • Output: A prioritized table:

    • Cause: Identified root cause.

    • Impact Score: Relative impact level.

    • Priority: High, Medium, or Low.

4

Synthesize Findings

  • Input: Results from all

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  • methods

  • AI Task:

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  • Combine insights from all analyses:

    • Identify recurring themes and critical areas.

    • Highlight the most actionable opportunities.

  • Output: A

...

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

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  • cohesive problem overview table:

    • Theme: Recurring issue or opportunity.

    • Critical Area: Specific problem or improvement opportunity.

    • Action Potential: High, Medium, or Low.

5

Define Impact

  • Input: Synthesis of findings

  • AI Task: Define desired user and business outcomes:

    • Highlight clear improvements for both users and the organization.

  • Output: A table:

    • Outcome: Desired improvement.

    • User Benefit: How it helps users.

    • Business Benefit: How it supports business goals.

6

Success Metrics

  • Input: Defined outcomes

  • AI Task: Identify

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  • KPIs to

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  • measure success:

    • Propose 5-10

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8. Generate Actionable Recommendations

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Input: Combined analysis, desired outcomes, and KPIs

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AI Task: Propose actionable recommendations to tackle the problem, prioritizing the most impactful actions.

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    • metrics aligned with goals.

  • Output: A KPI table:

    • Metric: Name of the KPI.

    • Baseline: Current value.

    • Target: Desired improvement.