Data Skills Lab

Learn how to identify flawed business questions and reframe them into specific, data-driven, and actionable inquiries. This interactive exercise will guide you through systemic thinking techniques to ensure you're asking the right questions that lead to better decisions.

Practice making sense of and analyzing various AI outputs as a consumer of AI, including evaluating its trustworthiness and questioning its broader risks and impacts.

Develop your data literacy skills through real-world business scenarios. Practice evaluating data quality, interpreting insights, spotting biases, and making informed decisions to solve business challenges.

Sharpen your analytical thinking by tackling business problems that require evaluating data representativeness, distinguishing causation from correlation, and assessing decision risks.

Practice diagnosing real-world data culture challenges by identifying which of the three key levers (Beliefs, Norms, or Reinforcements) is missing in various workplace scenarios. You'll practice spotting hidden barriers, propose your own solutions, and get immediate feedback and sample tactics.

Learn how to transform vague challenges into powerful, actionable questions using the QUESTION framework. You'll practice crafting specific inquiries that drive clear, informed decision-making.

Analyze retail sales data over time to identify key trends, seasonal patterns, and fluctuations, helping them make informed business recommendations.

Prioritize business initiatives by evaluating their potential impact and feasibility. Work through structured assessments to make strategic, data-informed funding decisions.

Turn raw survey data into a compelling, stakeholder-ready narrative. This exercise teaches you to extract key insights, frame a clear storyline, and present actionable recommendations.

Learn how to transform vague business inquiries into specific, actionable data questions. This activity walks you through a structured four-step process to bridge the gap between business needs and data insights.

Test your sensemaking skills with 10 interactive scenarios that challenge how you interpret, connect, and communicate data insights.

Use a five-step framework, this activity guides you through choosing a focus area, mapping processes, spotting pain points, checking data availability, and prioritizing the best opportunities for impact.

Strengthen your critical data literacy by identifying common visualization pitfalls. In this interactive challenge, you'll spot misleading charts, uncover how they distort information, and learn techniques for creating and interpreting honest, accurate visuals.

Broaden your understanding of what "data" really includes. In this quick, interactive activity, you'll classify statements as quantitative data, qualitative data, assumptions, or noise—and discover why it matters for making better decisions.

Strengthen your data literacy by interpreting a simple business dashboard. Identify what’s going well, spot areas needing attention, and learn how to ask smarter questions about what the data does—and doesn't—show you.

Practice spotting clear, unclear, and misleading business questions. In this quick activity, you'll sharpen your ability to craft better, more specific questions that lead to stronger data collection and decision-making.

Build essential statistical literacy by interpreting real-world data scenarios. This activity helps you spot misleading statistics, understand limitations, and develop stronger, evidence-based conclusions from numbers and charts.

Learn to critically assess statistical language using the CLEAR framework. In this interactive activity, you'll evaluate real-world claims for causality, association, evidence strength, and measurability to sharpen your decision-making skills.

Explore how online reviews can be misleading—even when they look impressive. In this activity, kids learn to question what they see and think critically about the data behind the stars.

In this hands-on activity, kids test how data changes with more trials. It's a fun way to understand probability, fairness, and why collecting more data can lead to better conclusions.

An interactive, gamified simulation that places participants in a high-stakes decision-making scenario. Designed to build data interpretation, bias detection, and insight-to-action skills, this decision war game is ideal for training or workshop use.