Frameworks & Tools for Smarter, Faster, Human-Centered Data Work

A practical tool to help you choose the most effective chart or graph for your data. This helps ensure your visualizations communicate insights clearly and resonate with your audience.

This interactive framework outlines the eight core competencies essential for data literacy across all organizational levels—from mindset to decision-making. Built for data consumers, it blends cognitive, analytical, and communication skills with a clear proficiency progression.

A practical playbook for connecting data literacy to real business outcomes. This framework helps you define, measure, and communicate the value of data skills using the same principles that power value-based selling.

This comprehensive checklist leads you through a structured process, ensuring that every decision is backed by solid data, critical analysis, and the essential human element to ensure well-rounded decisions.

A modern model for driving mindset-led transformation in the age of data, AI, and uncertainty. DARE stands for Diagnose, Activate, Rewire, and Evolve—four iterative phases designed to surface hidden beliefs, shift thinking safely, embed new behaviors, and build long-term adaptability.

The PROMPT method provides a 7-step guide to engineering ethical, effective prompts that optimize your AI interactions.

This checklist is a guide designed to help creators of visualizations validate their effectiveness and accessibility.

This framework leads readers through a checklist to thoroughly evaluate key aspects of data visualizations, empowering individuals to interpret information accurately and avoid potential manipulation or misinterpretation.

This framework is designed to enhance data fluency by integrating cognitive and behavioral dimensions into data training. It provides insights into personal strengths and blind spots, fostering improved collaboration and more effective decision-making.

This guides you through assessing specific AI ideas based on a set of strategic and practical criteria. The tool scores and prioritizes potential AI opportunities.

The DataStory framework provides communicators an adaptive framework for crafting resonant data stories tailored to diverse stakeholders and contexts.

A practical guide to help individuals build critical skills in data literacy, ethics, and informed decision-making for personal empowerment in the digital age.

The CLEAR Framework is a tool that helps navigate the language of data, ensuring that our interpretations are as accurate as possible.

The IMPACT Insight Evaluation Model is a framework to assess insights across six dimensions: Integrity, Measurability, Persistence, Applicability, Currency, and Transformative Potential.

The Holistic Decision Analysis Model provides a structured, multi-stage framework designed to enhance decision-making by integrating data analysis, emotional awareness, and contextual understanding.

The AI Opportunity Identification Framework helps businesses identify, evaluate, and prioritize AI applications by aligning AI opportunities with core business challenges.

The tool helps you map your program's impact, outcomes, and activities in a clear, structured format—perfect for planning, communicating, or aligning strategy.

This tool guides you to the optimal AI support level—Assisted, Augmented, or Automated—based on your decision's frequency, risk, complexity, and oversight needs.

A structured framework for evaluating decisions across key dimensions like impact, risk, complexity, and stakeholder involvement to apply the right level of rigor and oversight.

This framework guides you through the six-stage Flywheel for shaping data culture—without needing formal authority. Learn how to listen deeply, deliver quick wins, and spark lasting behavior change across your organization.

A structured methodology for crafting purposeful, actionable questions. It guides users through a step-by-step process to clarify goals, explore context, and prioritize inquiries.

A structured tool to assess the reliability, fairness, and appropriateness of AI-generated outputs across four key risk categories to identify red flags and determine trust levels.

This scorecard helps your team assess how quickly and efficiently you can go from a business question to a data-driven answer.