Initiative Brief
The initiative, challenge, or organizational focus to map.
Free portable AI skill
Collaborative Intelligence Canvas Coach
A first-draft Collaborative Intelligence Canvas that aligns nine connected elements of an initiative while exposing evidence gaps, tensions, AI opportunities, and human accountability.
What you need to provide.
The skill names unknowns instead of inventing missing facts.
Current Strategy And Priorities
Existing vision, objectives, non-goals, plans, or strategic commitments.
Stakeholder Material
Stakeholder groups, needs, worries, feedback, and decision rights.
Metrics Data Tools And Workflows
Current measures, data sources, AI tools, roles, operating processes, and governance requirements.
Evidence Sources
Documents, notes, data, or links that support the canvas entries.
The six-pass workflow.
Each pass leaves an artifact that a human owner can inspect, revise, or stop.
Set the coaching contract
Confirm the initiative boundary, intended decision, human sponsor, and what the canvas must help the team accomplish.
Map the strategic spine
Draft Destination, Strategic Bets, and Impact Metrics using only supplied evidence and explicit unknowns.
Map the human system
Draft Stakeholders and Value, Human Roles, and Culture and Ethics, including stakeholder worries, decision ownership, and required behaviors.
Map the augmentation system
Draft AI Agents and Tools, Data and Knowledge, and Flow and Process. Distinguish AI assistance from accountable human work.
Test coherence
Identify contradictions, unsupported claims, missing links, ethical risks, and dependencies across the nine elements.
Prepare the alignment conversation
Produce the smallest set of questions, evidence requests, and decisions needed to strengthen the canvas in the next working session.
What the skill returns.
Outputs are decision-support artifacts, not autonomous decisions.
Nine Element Canvas
A concise draft for all nine Collaborative Intelligence Canvas elements.
Coherence Review
Cross-element tensions, dependencies, gaps, and unsupported claims.
Human Ai Contribution Map
What people decide or own, where AI may assist, and where validation occurs.
Alignment Question Set
Prioritized questions for stakeholders and decision owners.
Next Session Plan
A short working-session sequence with desired artifacts and decisions.
Guardrails before use.
Keep these conditions visible when adapting the prompt to your policies and risk profile.
- Do not fill a canvas gap with plausible-sounding invention; label it unknown and ask for evidence.
- Do not treat AI-generated options as stakeholder consent, strategic approval, or validated truth.
- Name the accountable human owner for consequential decisions and AI-enabled processes.
- Use only approved data and tools, with appropriate privacy, security, consent, and retention controls.
- Surface tensions between elements instead of forcing false alignment.
- Keep the canvas concise enough to support a real team conversation rather than becoming a substitute for one.
The complete copy-paste prompt.
Replace bracketed fields with permitted context, then use an approved assistant.
Collaborative Intelligence Canvas Coach
Act as a UWT Collaborative Intelligence Canvas Coach. Help me create a concise, evidence-aware first draft of the nine-element canvas for one initiative. You may organize, question, compare, and synthesize what I provide, but you may not invent facts, stakeholder views, approvals, metrics, data quality, or tool capabilities. Label unsupported content as an assumption or unknown. Initiative brief: [PASTE] Decision or alignment outcome the canvas must support: [PASTE] Human sponsor or decision owner: [PASTE] Current strategy, priorities, and non-goals: [PASTE] Stakeholder information: [PASTE] Metrics and evidence: [PASTE] Roles, data, tools, workflows, and governance constraints: [PASTE] Source material: [PASTE] Build the canvas in this order: 1. Destination - the desired future state and purpose. 2. Strategic Bets - the two or three deliberate choices, including what is not being prioritized. 3. Impact Metrics - quantitative indicators plus qualitative evidence of human impact. 4. Stakeholders and Value - who is affected, value for each group, worries, and required engagement. 5. Human Roles - decision rights, responsibilities, and needed Cognitor capabilities. 6. AI Agents and Tools - specific proposed augmentation, selection criteria, limits, and evaluation. 7. Data and Knowledge - sources, quality, access, governance, gaps, and reusable knowledge. 8. Flow and Process - the decision or collaboration workflow, including where STACK or iterative Scan-Focus-Act cycles may help. 9. Culture and Ethics - behaviors, trust conditions, accountability, safety, transparency, and learning practices. For each element, output: current articulation; evidence supplied; human owner; useful AI contribution; gap or risk; next question. Then test the whole canvas for contradictions and missing links. Finish with: five alignment questions; the three most important decisions; evidence to gather; and a 60-minute working-session plan. Keep the language plain and distinguish facts, assumptions, recommendations, and unknowns.
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.
The BLUF - Using the UWT Collaborative Intelligence Canvas
Destination, Strategic Bets, Impact Metrics, Stakeholders and Value, Human Roles, AI Agents and Tools, Data and Knowledge, Flow and Process, Culture and Ethics
Pages 11-17
Chapter 1 - The Case for Clarity
AI-driven clarity, Collaborative Intelligence Canvas, AI-enriched decision-making
Pages 36-49
Chapter 2 - The United We Transform Operating System
nine core elements, integrated system for transformation
Pages 54-83