About consulting-issue-tree-mece
MECE Issue Tree is a skill for structuring a problem into prioritized, mutually exclusive branches and an analysis backlog. It is intended for root-cause diagnosis and decision framing, with checks for gaps, overlap, and evidence quality.
Key features
- 01Decision-oriented problem framing
- 02Driver, process, option, or hypothesis trees
- 03MECE branch validation
- 04Prioritization by impact and learning speed
- 05Analysis backlog with owners and timing
Use cases
- 01Diagnosing declining performance or execution failures
- 02Structuring strategic questions before data analysis
- 03Aligning teams on scope and ownership
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ santos-sanz/ lifeskills --skill consulting-issue-tree-meceAfter installing, type/consulting-issue-tree-mecein Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
examples/issue-tree-example.mdreferences/issue-tree-patterns.mdmece-checks.mdtemplates/issue-tree.mdDetails
From the project READMEMECE Issue Tree
Use $ARGUMENTS as initial context.
When to use this skill
- Diagnosing root causes in performance decline or execution failures.
- Structuring strategic questions into mutually exclusive branches.
- Creating a prioritized analysis plan before data deep-dives.
- Aligning teams on problem scope and ownership.
When not to use this skill
- Do not use it as a final recommendation, market forecast, or execution plan.
- Do not use it when the problem is already structured and only a falsifiable test plan is missing.
Required inputs
- Problem statement, metric, and baseline.
- Scope boundaries (segment, geography, time horizon).
- Available data and decision deadline.
- Metric definition, numerator/denominator, units, and known exclusions.
Workflow
- Convert the request into one decision-oriented problem statement.
- Select tree type: driver, process, option, or hypothesis tree.
- Build 2-3 levels of MECE branches with parallel labels.
- Run formal checks for overlap, gaps, level-mixing, units, and parent-child reconciliation.
- Prioritize branches by impact, controllability, and learning speed.
- Translate top branches into an analysis backlog with owners and timing.
Ask-first questions
Ask up to 3 questions before building the tree:
- Which metric and baseline define the problem severity?
- What scope is explicitly in or out?
- What decision must this tree support?
Assumption policy
- Proceed if data is incomplete, but list assumptions in a dedicated section.
- Tag assumptions with confidence and validation path.
- Do not invent branch evidence; flag unknowns explicitly.
- State whether the tree is a driver, process, option, or hypothesis structure and why.
Output contract
Always produce these sections in order:
- Context
- Decision or Recommendation
- Analysis
- Risks
- Next Actions
- Assumptions
- Every backlog item includes an owner, due date, required dataset, and success signal.
- Label evidence as Fact, Inference, Assumption, or Unknown.
Guardrails
- No branch overlap at the same level.
- No mixing causes and outcomes in one branch layer.
- No "other" bucket unless unavoidable and quantified.
- Keep branch naming at equivalent abstraction depth.
- Do not mix causes, outcomes, actions, and metrics at the same branch level.
Handoffs
- Use
consulting-hypothesis-driven-80-20when the top branches need falsifiable tests and kill criteria. - Use
decision-analysis-under-uncertaintywhen the tree must become an explicit option decision. - Use
pyramid-principle-structured-communicationfor the final executive storyline.
Resources
references/issue-tree-patterns.md- Tree patterns and branch design rules.references/mece-checks.md- Validation gates and failure diagnostics.templates/issue-tree.md- Decision-ready tree template.examples/issue-tree-example.md- Golden example with partial information.
Keywords
issue tree, MECE, root cause, problem structuring, analysis backlog, driver tree
Comments
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