Consider the growing popularity of the Silent Book Club. People gather together for an hour to read, yet everyone is experiencing a completely different story. One person may be turning the pages of a mystery novel, another listening to an action and adventure book through Audible, while someone else quietly reads an autobiography on their Kindle or tablet. Although they are sharing the same space and the same dedicated time, each participant absorbs the experience differently based on the format, story, and style that resonates most with them. The environment is collective, but the experience is deeply personal. Recently, I joined a weekly Silent Book Club at my local coffee shop, Brew 1902 at Murrieta Hot Springs Resort in Murrieta, CA. Each Wednesday night I look forward to sharing a space to quietly read, and I also ponder, “I wonder what everyone else reading, and what is their story?” 

Data storytelling works much the same way. The data may be the same, but every audience consumes and interprets it differently depending on their role, priorities, and level of familiarity. Just as no two readers in a silent book club experience the exact same story, no two stakeholders engage with data in exactly the same way. Effective data storytelling recognizes those differences and delivers information in a format that connects with each audience where they are. 

In advancement, we have learned that data rarely speaks for itself. We may have a wealth of dashboards, reports, and years of historical trends available to us, but whether data creates action depends on something much simpler: how well we understand the audience receiving it. 

Sam Camarena, Manager of Advancement Academy at the California State University, Office of the Chancellor, has extensive experience in tailoring data stories to audiences, and recently spoke on this very topic at CASE DRIVE 2026. He advises, “Before deciding which metrics to highlight or what visualization to build, it is important to understand who will use the information and what decisions they need to make.” 

Over my own time spent leading advancement services teams at the University of California, I learned that each audience consumes data differently. Executives often want a concise summary focused on decisions, risks, and tradeoffs. They may only need a one-slide overview that quickly answers, “What does this mean for the organization?” Fundraising teams may need actionable insights and next-best steps they can apply immediately. Meanwhile, service and technical teams like advancement services or operations staff will want to know detailed definitions and validation to ensure the analysis is accurate and actionable. 

As I spoke further with Sam, he reiterated, “This is where understanding your audience also means assessing their baseline knowledge. Some groups may already understand the data deeply, while others need more context and explanation. This determines how much detail to include and how technical the presentation should become. For example, a board member, President, or Vice Chancellor may respond best to simple comparisons and mission-focused outcomes, while a data team may expect assumptions, benchmarks, and methodology.” 

He shared a real-world example showing the cost of audience misalignment: