UWT Collaborative Intelligence Canvas

Define your aspirational future state (the Vision) and the core purpose that drives you (the Mission). What is the ultimate destination, result, or impact your team/organization is striving to achieve? Why is this compelling and motivating for all stakeholders? How does it connect to a larger Movement?

Identify specific AI tools and techniques to synthesize diverse inputs (e.g., global market trends, deep customer unmet needs analysis, societal shifts, competitive foresight, etc.) for a richer, data-informed articulation of this desired future state. How can generative AI assist in drafting initial Vision/Mission statements or exploring alternative future scenarios?

Define the clear, measurable Key Performance Indicators (KPIs) that will track progress towards your Strategic Bets and ultimately your Destination. Complement these with a plan to identify and articulate compelling qualitative success stories (the impactful Moments) that bring the data to life and illustrate the human impact of your efforts.

Specify AI tools for real-time KPI tracking, anomaly detection in performance data, predictive forecasting of metric achievement, and potentially AI-assisted analysis of qualitative feedback (e.g., customer testimonials, employee narratives) to identify and help draft compelling success stories.

Define the key human capabilities and roles essential for this initiative's success. Clarify responsibilities for all team members. Crucially, specify how the skills and mindset of the Cognitor (as introduced in Chapter 2 and detailed in Chapter 6), orchestrating human-AI collaboration, strategic questioning, synthesis, etc., will be leveraged or developed within the team.

Identify AI tools that can augment specific human roles (e.g., AI research assistants for analysts, AI co-pilots for project managers, AI content aids for communicators). How will AI support the Cognitor in their orchestration tasks (e.g., AI for meeting facilitation, information synthesis for sensemaking, etc.)?

Identify the critical internal and external data sources that will "fuel" both human decision-making and AI model training/operation for this initiative. Assess the quality, accessibility, and governance of this data. Pinpoint significant knowledge gaps and outline strategies for addressing them.

Describe how AI will be used to process, clean, synthesize, and analyze the identified data sources. How can AI help identify hidden patterns or correlations within the data that humans might miss? Specify AI tools for building and maintaining a dynamic, accessible knowledge base from the insights generated.

Describe the essential cultural attributes (e.g., Reset Mindset, psychological safety for AI experimentation, transparency, continuous learning) that must be nurtured to ensure the success of this AI-augmented initiative. Define the clear ethical guardrails, principles, and governance mechanisms that will guide all AI development and deployment.

How can AI tools or data be used (ethically) to provide insights into current cultural indicators (e.g., AI analysis of anonymized employee feedback on AI readiness)? How will AI itself be used to support training on ethical AI principles or to monitor adherence to established guardrails (e.g., bias detection tools)?