"The key takeaway from the session was to think of data differently. Think of data not as a pile of numbers in a spreadsheet or charts in a dashboard, but as a language. A language that can tell a lot about humans: their actions, their decisions, the consequences of their choices, their beliefs, their attitude, etc. A language that we need to practice. Starting with where we should start: asking the right questions instead of jumping into exciting solutioning. In other words:"
"Data may not lie (intentionally), but what we do with it definitely can. This is why I created a session around practicing the fundamentals of data literacy: reading, writing, interpreting, and arguing with data to make a difference. Thank you to all the brave souls who got hired by TYG (There You Go!) to make data-informed decisions during "ATD's Intensive: Measurement and Analytics in L&D.""
Data functions as a language that reveals human actions, decisions, consequences, beliefs, and attitudes. Data literacy requires practicing reading, writing, interpreting, and arguing with data to create measurable impact. Effective measurement starts with asking the right questions instead of jumping to solutions. Surface metrics like completions, time-on-task, knowledge-check scores, and immediate surveys can create an illusion of effectiveness. Critical thinking and skeptical analysis are necessary to detect misleading indicators. Designing learning with planned post-event measurement and focusing on meaningful outcomes enables data-informed decisions that reflect real learning impact.
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