Apply structured problem-solving using MECE principle, issue trees, hypothesis-driven approach, and the Pyramid Principle. Use this skill when the user faces a complex, ambiguous problem and needs to decompose it systematically, structure a consulting-style analysis, or organize recommendations clearly — even if they say 'where do I start', 'this problem is too big', 'help me break this down', or 'structure my thinking'.
npx skills add https://github.com/asgard-ai-platform/skills --skill meta-structured-problem
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)
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
Pyramid Principle (Barbara Minto): Structure communication top-down
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.
# 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}
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."
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Use when you have a written implementation plan to execute in a separate session with review checkpoints
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Take asgard-ai-platform/meta-structured-problem from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.