Fixing decision bottlenecks
Find the decisions with no clear owner or three competing ones.
— Operations & Process
Decision rights
Maps who actually decides what across the org map, scoring the clarity of each decision and naming gaps, overlaps and escalation traps.
- Operations & Process
- Traceable reasoning
- Runs anywhere
2–3 weeks → ~40 minutes
For a full population, not a sample
No coding required
- Input
- Org map and role documentation
- Output
- A decision-rights map with owners per decision
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~2–3 weeks per run
— USE CASES
What people use Decision rights for
Post-restructure clarity
Re-establish decision rights after a structural change so teams know what they own.
Governance design
Define decision rights explicitly before a new operating model goes live.
What it works from
- Org map and role documentation
- Governance, delegation or authority documents
- The decision set in scope
What you get back
- A decision-rights map with owners per decision
- Scored clarity, with gaps and overlaps named
- An aggregated view of where accountability breaks down
— HOW IT BEHAVES
How Decision rights produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Scored against your criteria
Assessment happens against criteria you control and weight, so the same standard applies on every run.
Rolled up to the level you report at
Individual results aggregate into the population, function or portfolio view a decision-maker actually looks at.
Banded results
Results are placed into defined bands, so thresholds decide the outcome instead of individual interpretation.
Extraction to a fixed schema
Content is pulled into the same field structure every time, so records from different sources stay comparable.
Anchored to your org map
Analysis runs against your actual structure and reporting lines rather than an assumed org shape.
Live external research
Current external sources are researched during the run rather than recalled from training data, and the sources travel with the output.
Why this is expensive by hand
Slow decisions are usually an accountability problem, not a process problem. In practice it shows up as fixing decision bottlenecks: find the decisions with no clear owner or three competing ones. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only 2–3 weeks of capacity for it.
How this Skill produces it
Here the same job runs as a Skill. Your material goes in; a decision-rights map with owners per decision comes out, alongside scored clarity, with gaps and overlaps named. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. In effect, 2–3 weeks of senior time compresses into ~40 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.
Who it's for
- Independent consultants codifying their own methodology
- Strategy and transformation teams standardising delivery
- Internal advisory functions under pressure to produce faster
- Operators who need defensible output, not a one-off chat answer
Run it in Skillsize — or export it anywhere
Decision rights exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
ChatGPTClaudeCopilotAI Products (MCP)
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