During a recent virtual public workshop hosted by the analytics and communication community, a participant raised a compelling and universally relatable question that cuts to the very heart of corporate reporting. Paraphrased, the question went something like this: "I can completely see the value of what you’re teaching, but how do I tell a story that my audience doesn’t want to hear, or doesn’t want to focus on right now?"
For many professionals working in data analytics, business intelligence, and corporate communications, this scenario is all too familiar. The initial reaction to such a question is often one of surprise. After all, in a professional setting, why would anyone want to share information or insights that their target audience is fundamentally not interested in? However, as the discussion unfolded and a few follow-up questions were asked, it became abundantly clear that the dilemma ran much deeper than simple apathy. The person posing the question was communicating with stakeholders who were expecting an operational or strategic update framed in a very particular, predetermined way. Yet, the reality of the situation was that their exploratory analysis and the resulting empirical findings pointed in a completely different direction than the previously agreed-upon strategy.
This tension between what an audience expects to see and what the raw data actually reveals is one of the most persistent hurdles in modern organizational communication. Upon further reflection, the core challenge is rarely that an audience actively refuses to hear an unwelcome story. More often than not, they are simply expecting an entirely different narrative based on their current worldview, previous assumptions, or past directives. When that is the case, acknowledging those pre-existing expectations before introducing new and potentially disruptive findings is critical. Doing so helps the audience make a cognitive transition from what they originally thought they were going to hear to what the data is actually saying.
Navigating this dynamic is undeniably a difficult situation for any communicator. Professionals are tasked with walking a delicate line: they must deeply understand why their audience holds those specific expectations in the first place, while still faithfully surfacing what the underlying analysis actually shows. With that complex reality in mind, the initial response during the workshop focused on dissecting the root causes of audience resistance and exploring how data practitioners can reframe difficult conversations.
So, how does one go about telling a story that an audience fundamentally does not want to hear? The answer lies in first making sure it is a story they can understand, care about, and ultimately see as directly relevant to the decisions sitting squarely in front of them. If the content has been carefully tailored to the specific nuances of that audience and provides them with a clear, undeniable sense of why the message matters—whether that importance is framed in terms of emerging opportunities, unmitigated risks, or measurable business impact—even a difficult or unwelcome message is far more likely to be received in the right spirit. When stakeholders recognize that the data serves a protective or strategic purpose rather than an adversarial one, the psychological barrier to acceptance begins to lower.
If this scenario sounds familiar to analysts and corporate leaders alike, they are certainly not alone in grappling with these workplace dynamics. Fellow data storytellers Alli and Ryan recently dove deep into a related, highly pervasive challenge on a dedicated podcast episode, exploring what to do specifically when a leader asks you to find data to prove them right. That conversation serves as a particularly useful listen for anyone currently facing similar political or analytical hurdles within their own organization, highlighting the friction that occurs when pre-existing leadership bias meets objective discovery.
Ultimately, the overarching goal of effective data storytelling is never to avoid an uncomfortable truth in favor of organizational harmony. Rather, the objective is to make those difficult truths clear, relevant, and actionable in service of the organization’s broader, long-term success. By bridging the gap between audience expectations and empirical reality, data professionals can transform moments of friction into opportunities for genuine strategic alignment.
