In this article:
- What is digital storytelling in a data-driven world?
- Why data needs storytelling to drive action
- The building blocks of effective data storytelling
- Why writing skills matter in data communication
- Why presentation design is a critical data skill
- Building digital storytelling skills through Penn LPS Online
It's no secret that we live in a data-driven world. While many people focus on how that data is acquired or processed, it's just as important to clarify how those data-backed insights will be shared or conveyed. Without the right communication strategy, seemingly profound insights fail to make a discernible impact on the people who are expected to understand or work with that information.
This is where digital storytelling makes a world of difference. By placing data (or data-driven insights) into a format that people can recognize and interact with, digital storytelling adds context and visual elements to strengthen the intellectual and emotional impact of data.
What is digital storytelling in a data-driven world?
National Geographic describes storytelling as being "universal to the human experience," adding that this act involves "telling or writing stories or narratives." Digital storytelling brings these narratives to virtual platforms or channels rather than relying on personal interactions or tangible media (such as books or newspapers).
In a data-driven world, digital storytelling links raw information and human experience. It makes statistics easier for individuals to understand and inspires audiences to act based on their newfound, narrative-driven understanding.
Where is digital storytelling used today?
Digital storytelling drives interest and insight across many fields and niches. In education, digital storytelling expands access to immersive learning experiences, allowing online learners to actively participate in lessons that genuinely excite them. In marketing, digital storytelling helps brands connect with consumers while bringing an authentic (and memorable) edge to online messaging.
Healthcare providers use digital storytelling to help patients feel less intimidated or overwhelmed, relying on interactive experiences to shed light on potential procedures or share recommendations for curbing the spread of disease. Nonprofits, meanwhile, use digital storytelling to draw attention to important causes and inspire action among potential donors or volunteers.
Digital storytelling spans several sectors and also holds broad influence across channels, platforms, and audiences. It's largely associated with social media but extends to email marketing, interactive websites, podcasting, and even augmented reality (AR) experiences.
Why data needs storytelling to drive action
Data's power lies not in its mere presence or analysis but rather in how it is presented—and how that presentation inspires action. Storytelling transforms data from a passive collection of facts into a narrative arc that persuades and empowers individuals. Without storytelling mechanisms, data remains isolated or abstract (and therefore less likely to inspire desired changes).
Common data communication pitfalls
Data-driven storytellers must strike a careful balance between data integrity and narrative accessibility. They should not assume that data, in and of itself, will make their stories more compelling; in fact, when audiences are inundated with unclear data, they may feel overwhelmed and lose interest. Other potential pitfalls include:
- Excessive visuals that distract audiences
- Narratives that confuse correlation with causation
- Presenting cherry-picked data that only supports preconceived conclusions
- Failing to acknowledge limitations when suggesting that interpretations are definitive
The building blocks of effective data storytelling
Data storytelling follows several core storytelling processes, from staging to plot progression to cognitive tension. Maintaining structure helps audiences intuitively follow stories while absorbing complex information.
Audience-centered framing
Framing describes the lens through which data and digital stories are viewed by target audiences. This determines which facts or figures are included and which are left out of a given presentation. In digital storytelling, this provides a pathway to selecting and explaining relevant trends that are thought to resonate most with the audience in question.
Narrative structure
A narrative structure provides a familiar blueprint that audiences can intuitively navigate. It limits the cognitive burden of following narratives and instead allows audiences to focus on the information presented within those stories. When narratives incorporate a clear sense of structure, they establish cause-and-effect relationships that help audiences identify core insights and understand why these takeaways matter.
Visual rhetoric and design
Rhetoric involves the skillful use of language, but visual rhetoric determines how images convey meaning. In the context of digital storytelling, visual rhetoric determines how audiences interpret data and how (or whether) they are emotionally impacted by it. This can inspire a response before audience members read a single word of text.
Layout plays heavily into visual design, guiding the eye toward the most important information or images. Through strategic decisions regarding spacing or contrast, visual storytellers ensure that audiences notice the most salient points first while drawing desired connections between elements such as charts or labels.
Why writing skills matter in data communication
Today's data-driven approach to communication involves the extensive use of charts, graphs, and other visualizations that are favored for their ability to instantly convey complex concepts. These visual tools have their limits, however, and classic text still provides the best means of explaining nuanced ideas or perspectives.
Writing skills ensure that text-based descriptions make audiences intrigued, even amid shortened attention spans and considerable visual competition. Carefully crafted text can provide the context that may otherwise be missing in data or even visuals, offering a well-rounded overview that diverse audiences can grasp and appreciate.
Turning data into meaningful insight
Data should represent more than numbers on a page; it should provide valuable insight. But what, exactly, does this mean? At its most basic level, an insight represents a shift in understanding and in how one perceives (or approaches) problems. This insight can be meaningful when it replaces previously incorrect or incomplete assumptions with accurate, well-rounded explanations.
Keep in mind that not all insights are strictly data-driven, nor does all data lead to meaningful insights. These insights can, for example, emerge in response to observation or reflection. However, data provides a structured approach to uncovering insights, offering quantifiable evidence through carefully examined patterns.
Digital storytellers play a central role in driving the transition from data to insight and conveying why these insights are meaningful. They interpret quantifiable information, adding context as needed to tell the broader story that surrounds data points. They also guide audiences toward genuine understanding surrounding what data suggests or why it is important.
Practical applications of writing with data
Data-driven narratives drive impact across sectors. Corporate executives, for instance, use data to highlight market trends or justify complex strategic decisions. In the nonprofit sector, digital storytelling conveys critical needs or missions with emotion while using data to improve trust through transparency. Similarly, public sector agencies use digital storytelling to inspire trust among constituents.
Use cases that involve digital storytelling include:
- Nonprofit grant proposals featuring community needs assessments or program outcome data
- Product pitches detailing consumer behavior and featuring competitor analyses
- Public health campaigns highlighting the prevalence of disease while advocating for health behaviors that can curb the spread
Why presentation design is a critical data skill
When discussing the need for data-centered competencies in a data-driven economy, many people focus on the process of collecting, cleaning, or analyzing information. However, they may neglect the visualization and storytelling skills that determine how this data is interpreted or ultimately acted upon.
Data presentations fail without strong writing
Clear and persuasive writing offers more than a helpful add-on for visually focused presentations; it is critical for making sense of the ideas already conveyed through imagery.
While the right visuals can get core ideas across, these concepts remain incomplete if not accompanied by relevant narratives that connect otherwise separate charts, graphs, or pictures. Without writing to act as a narrative bridge, individual elements risk feeling fragmented or downright random, ultimately distracting audiences from the big-picture takeaways that data-driven narratives are supposed to promote.
Writing and visuals work together to capture attention
Today's powerful visuals capture attention before audiences even form conscious thoughts about presentations or narratives. Writing forms a structure to guide these audiences, providing clarity while building upon themes captured through visual displays. Both are important and should work in tandem to capture attention and inspire understanding.
Together, writing and visuals convey meaning in different but complementary ways, with visuals highlighting patterns or trends and text adding narrative flow via comprehensive explanations. Effective digital storytellers know how to provide rich content and arrange that content in a way that further heightens the meaning found in individual images or blocks of text.
The importance of designing for clarity, not just aesthetics
Appealing aesthetics help data-driven stories stand out, but they must be designed to prioritize clarity and coherence. Aesthetics should be pursued in service of the core message, reflecting the identified needs of the target audience along with format-specific constraints or conventions.
Visual choices such as typography or imagery should enhance data presentation rather than distract from it. Aesthetic choices certainly hold value in that they can reinforce branding and create a sense of connection — supporting the insights gained through data and the writing that gives data meaning. The cliché substance over style comes to mind, but both are ultimately important.
Building digital storytelling skills through Penn LPS Online
At Penn LPS Online, we recognize that communication is changing and that tomorrow's leaders and communicators will use data-driven or tech-oriented skills alongside classic storytelling techniques.
Explore diverse storytelling strategies through our Certificate in Professional Writing, covering writing mechanics, presentation design, and data-driven communication. Through writing projects, you'll learn what it means to tell a compelling story while integrating data-backed insights and eye-catching visuals. If you'd like to further expand your writing and data analysis skills, explore our Bachelor of Applied Arts and Sciences (BAAS) program and our Professional Writing course block.
If you're ready to step into your power as a digital storyteller, learn more about the writing-focused programs at Penn LPS Online or get started with the application process today.
