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Clarity and Ambiguity Audit

A source-aware diagnosis of where ambiguity is blocking a decision or initiative, followed by a prioritized set of questions, owners, and next actions that improve shared clarity.

UngatedVendor neutralHuman accountable

What you need to provide.

The skill names unknowns instead of inventing missing facts.

Required input

Challenge Or Decision

The initiative, decision, event, or workflow that feels stuck or unclear.

Required input

Desired Destination

The intended future state, result, or impact.

Required input

Available Evidence

Plans, notes, data, decisions, stakeholder input, constraints, and other source material that can support claims.

Optional input

Stakeholders And Owners

People affected by the work and people accountable for decisions or actions.

Optional input

Known Constraints

Time, policy, budget, privacy, technology, legal, cultural, or capacity limits.

The six-pass workflow.

Each pass leaves an artifact that a human owner can inspect, revise, or stop.

01

Frame the destination and decision

Restate the desired outcome, the decision that must be made, the decision owner, and the deadline. Mark any missing element as unknown.

02

Separate evidence from interpretation

Create explicit lists of observed facts, assumptions, conflicting claims, and unanswered questions.

03

Audit the nine UWT elements

Review Destination, Strategic Bets, Impact Metrics, Stakeholders and Value, Human Roles, AI Agents and Tools, Data and Knowledge, Flow and Process, and Culture and Ethics. Mark each clear, partial, unknown, or contradictory and cite the supplied evidence.

04

Trace the cost of ambiguity

Connect each material gap to delayed decisions, rework, risk, stakeholder harm, wasted effort, or inability to measure impact without inventing a financial value.

05

Prioritize the clarity moves

Rank the smallest set of questions or actions that would unlock the most consequential progress, with a human owner and evidence needed for each.

06

Define the next review

Set a near-term checkpoint, the artifacts to bring, and the criteria for deciding whether ambiguity has materially decreased.

What the skill returns.

Outputs are decision-support artifacts, not autonomous decisions.

Output

Clarity Statement

A concise statement of the destination, decision, owner, and deadline.

Output

Evidence Ledger

Facts, assumptions, contradictions, and unknowns with source references.

Output

Nine Element Audit

A qualitative coverage table for the Collaborative Intelligence Canvas.

Output

Priority Ambiguity Register

The highest-impact gaps, why they matter, and the evidence required to resolve them.

Output

Clarity Action Plan

Sequenced actions with human owners, checkpoints, and completion criteria.

Guardrails before use.

Keep these conditions visible when adapting the prompt to your policies and risk profile.

  • Do not invent facts, stakeholder views, metrics, costs, consensus, or source evidence.
  • Treat missing information as unknown, not as proof of failure or absence.
  • Keep observed facts, supplied claims, and analysis visibly separate.
  • Do not upload confidential, personal, regulated, or proprietary material to an AI system that is not approved for it.
  • Require an accountable human to validate priorities and make consequential decisions.
  • Do not use the audit as a clinical, legal, financial, employment, or safety determination.

The complete copy-paste prompt.

Replace bracketed fields with permitted context, then use an approved assistant.

Clarity and Ambiguity Audit
You are facilitating a UWT-informed Clarity and Ambiguity Audit. Work only from the material I provide. Do not invent facts, consensus, metrics, stakeholder views, or costs. Separate observed facts, supplied claims, assumptions, contradictions, and unknowns.

Context I will provide:
- Challenge or decision: [PASTE]
- Desired destination or result: [PASTE]
- Decision owner and deadline, if known: [PASTE]
- Available evidence and source material: [PASTE]
- Stakeholders and owners: [PASTE]
- Constraints: [PASTE]

Run the audit in six stages:
1. Restate the destination, the decision to be made, the accountable human owner, and the deadline. Mark missing items as unknown.
2. Build an evidence ledger with four sections: observed facts, assumptions, contradictions, and unanswered questions. Point back to the supplied material for every factual statement.
3. Audit the nine UWT elements: Destination; Strategic Bets; Impact Metrics; Stakeholders and Value; Human Roles; AI Agents and Tools; Data and Knowledge; Flow and Process; Culture and Ethics. Mark each clear, partial, unknown, or contradictory. Explain the evidence for the status. Do not create a numeric score.
4. Identify the practical cost or risk of each material ambiguity, such as delay, rework, misalignment, stakeholder harm, wasted effort, or inability to measure impact. Do not fabricate financial values.
5. Prioritize no more than five clarity moves. For each, provide the question or action, why it matters, the evidence needed, the accountable human owner, and the dependency it unlocks.
6. Propose a near-term review checkpoint with required artifacts and observable completion criteria.

Output exactly these sections: Clarity statement; Evidence ledger; Nine-element audit table; Priority ambiguity register; Clarity action plan; Questions requiring human judgment. If essential input is missing, proceed with explicit unknowns and end with one concise set of follow-up questions.

Packaging boundary: The four items below are approved UWT prompt-based companion guides. They are not official Claude skills, OpenAI skills, GPTs, plugins, or packaged capabilities from any AI vendor.

Concepts behind the skill.

Every workflow links back to specific canonical manuscript sections.

Source concept

The BLUF

Collaborative Intelligence Canvas, nine core elements

Pages 11-17

Source concept

Chapter 1 - The Case for Clarity

high cost of haze, clarity, reset mindset

Pages 29-53

Source concept

Chapter 11 - UWT Lexicon

Clarity Crisis, Clarity Imperative, Collaborative Intelligence

Pages 210-216