707 - Data Is Useless Without a Story
As an L&D practitioner you collect learning data, build reports, and create analytics infrastructure to make better-informed decisions. But if no one is listening to you, then what's the point? Just because you have all the stats on learners and programs doesn't mean it will be interesting to other teams or leadership. Recent research by McKinsey points to the evolving need for an analytics translator capability. In other words, effectively telling stories with data is more than sharing a line chart or bar graph and expecting someone to understand, or even care. One result can have three different stories, depending on who it's for.
In this session you'll learn how to use data to craft engaging and interesting stories that directly relate to various areas, teams, and departments across your organization. Specifically, you'll explore three different story-telling models, borrowing best practices from the Hero's Journey, job interviewers' STAR model, and the Gateway Theory to create compelling, data-driven narratives. Next, you'll learn how to recognize stakeholders' needs, priorities, and challenges‚ and how to share your story in their preferred format. Finally, you'll draw inspiration from real-world data storytelling examples across industries such as retail, financial, manufacturing, and more. You'll leave this session with the tools to craft an impactful story that can influence key decision-making; gain stakeholder buy-in; enhance L&D's reputation; and build relationships across the organization.
In this session, you will learn:
- How to use fundamental concepts of organizational storytelling
- How to identify the needs, challenges, and preferences of your audience
- When and how to apply storytelling concepts and best practices so you can craft your own data stories
- What type of data you need to tell good data stories
- How other organizations use data to craft stories for the business
Designers, managers, senior leaders