Learning Lab | Data Storytelling | The What, Why, and How – March 2026

Part 1: March 17, 2026 | 12:00–1:30 p.m.ET
Part 2: March 23, 2026 | 12:00–1:30 p.m.ET
Part 3: March 26, 2026 | 12:00–1:30 p.m.ET
Part 4: March 31, 2026 | 12:00–1:30 p.m.ET

Overview

Insights available through data are occasionally straightforward, but more often nuances and complexities in higher education make it difficult to turn data into easy-to-digest information. Data storytelling is distinct from data visualization, though data visualization is an element of storytelling that makes the data come ‘alive’ visually. Instead, data storytelling is the practice of making a compelling argument based on an audience’s needs using a narrative approach, supplying needed context and using data as evidence. Using a data storytelling approach allows one to guide their colleagues and a wide range of stakeholders to grasp and understand problems and insights, aided by context and narrative. Join this Learning Lab to discover the many uses, required skills, and complexities of telling a compelling story with and about data.

Learning Outcomes:

NOTE: You will be asked to complete assignments in between the Learning Lab segments that support the learning outcomes stated below. You will receive feedback and constructive critique from course facilitators.

• The definition of data storytelling and the value it holds for decision-makers and target audiences
• The critical components of data stories and characteristics of an impactful story
• The relationships between data storytelling and raw data, information, analytics, data visualization, and data literacy
• Who should be involved in producing data stories and what they should bring to the table
• Identification of one or more uses cases for data storytelling at your institution and the ability to propose a data storytelling project