skills/asgard-ai-platform/skills/meta-structured-problem

meta-structured-problem

Installation
SKILL.md

Structured Problem Solving

Framework

IRON LAW: MECE or It's Not Structured

Every decomposition must be MECE:
- Mutually Exclusive: No overlap between categories
- Collectively Exhaustive: No gaps — all possibilities covered

"Revenue = New customers + Existing customers" is MECE ✓
"Revenue = Online + Enterprise + Growth" is NOT MECE ✗ (overlapping)

Core Tools

Issue Tree: Decompose a question into sub-questions, MECE at each level

"Why is profit declining?"
├── Revenue declining?
│   ├── Volume down?
│   │   ├── New customer acquisition down?
│   │   └── Existing customer churn up?
│   └── Price down?
│       ├── Discounting increased?
│       └── Mix shift to lower-priced products?
└── Costs increasing?
    ├── COGS up?
    └── OpEx up?

Hypothesis-Driven Approach: Instead of exploring everything, state a hypothesis and test it

  1. Form an initial hypothesis ("Profit declined because churn increased")
  2. Identify what evidence would prove/disprove it
  3. Gather that specific evidence
  4. Refine or reject the hypothesis
  5. Repeat

Pyramid Principle (Barbara Minto): Structure communication top-down

  1. Lead with the answer: Start with the recommendation, not the analysis
  2. Group supporting arguments: 3-5 supporting points, MECE
  3. Order logically: By argument strength, chronologically, or structurally
  4. Detail only when asked: Each level provides more detail for those who want it

80/20 Rule: Focus on the 20% of analysis that drives 80% of the answer. Don't over-analyze secondary branches of the issue tree.

Problem Solving Process

  1. Define the problem: "The client's profit has declined 15% YoY. Why, and what should they do?"
  2. Structure with an issue tree: MECE decomposition of possible causes
  3. Prioritize branches: Which branches are most likely to contain the answer? (80/20)
  4. Form hypotheses: "I believe the primary cause is..."
  5. Gather evidence: Test each hypothesis with data
  6. Synthesize findings: What does the evidence say?
  7. Recommend: Present using the Pyramid Principle (answer first)

Output Format

# Structured Analysis: {Problem}

## Problem Statement
{One sentence, specific and measurable}

## Issue Tree
{MECE decomposition — text or visual}

## Hypothesis
{Initial hypothesis with rationale}

## Evidence
| Branch | Hypothesis | Evidence | Verdict |
|--------|-----------|---------|---------|
| {branch} | {sub-hypothesis} | {data found} | Confirmed/Rejected |

## Synthesis (Pyramid Structure)
**Recommendation**: {answer first}

**Supporting Arguments**:
1. {argument 1 with evidence}
2. {argument 2 with evidence}
3. {argument 3 with evidence}

## Next Steps
1. {action item}

Examples

Correct Application

Scenario: "Why is our food delivery app losing market share?"

Issue tree (MECE):

Market share declining
├── Our growth slowing?
│   ├── New user acquisition down?
│   │   ├── Marketing spend reduced?
│   │   └── Conversion rate dropped?
│   └── Existing user activity down?
│       ├── Order frequency declining?
│       └── Users churning?
└── Competitors growing faster?
    ├── New entrant capturing share?
    └── Existing competitor accelerating?

Hypothesis: "Existing user activity is down because order frequency declined after the delivery fee increase." Evidence: Order frequency dropped 22% in the month after fee increase. ✓

Pyramid: "Reverse the delivery fee increase for high-frequency users. Order frequency dropped 22% post-increase, and 60% of lost orders came from users who ordered 3+/week. A loyalty tier with waived fees for frequent users would recover an estimated 15% of lost share at a cost of NT$X/month."

Incorrect Application

  • Issue tree: "Revenue problem: Online, Marketing, Customer Service" → Not MECE (overlapping categories, not exhaustive). Violates Iron Law.

Gotchas

  • MECE is hard in practice: Perfect MECE is aspirational. Get as close as possible and note where categories blur. "Good enough MECE" beats "perfect but took 3 days."
  • Hypothesis-driven ≠ confirmation bias: The hypothesis is a starting point to guide investigation, not a conclusion to defend. If evidence contradicts it, change the hypothesis.
  • The Pyramid Principle feels counterintuitive: People naturally want to tell the story chronologically (problem → analysis → conclusion). Audiences want the answer FIRST, then the supporting evidence. Lead with the recommendation.
  • Structured ≠ slow: Spending 30 minutes structuring the problem saves hours of unfocused analysis. The structure IS the speed.
  • Know when to stop: Analysis has diminishing returns. If you have enough evidence to make a confident recommendation, stop analyzing and recommend.

References

  • For issue tree templates by problem type, see references/issue-tree-templates.md
  • For Pyramid Principle writing guide, see references/pyramid-principle.md
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