During a recent virtual public workshop hosted by Storytelling with Data, an intriguing and deeply relatable question was raised by one of the participants. Paraphrased for clarity, the attendee’s dilemma 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 professional communicators, analysts, and data practitioners, this scenario strikes a familiar and often uncomfortable chord. The initial reaction to such a question is often one of mild surprise. After all, in standard communication frameworks, the foundational rule is to align closely with the interests, needs, and curiosities of the audience. Why would any communicator deliberately choose to share something that their listeners or stakeholders are inherently not interested in exploring?
However, after a brief exchange of follow-up questions during the workshop session, the true nature of the dilemma came into sharper focus. It became evident that the person posing the question was communicating within a corporate or organizational structure where stakeholders were anticipating an update framed in a very specific, predetermined way. The stakeholders had expectations, likely built upon previous assumptions, strategic plans, or early-stage hypotheses. Unfortunately, the reality of the situation was quite different. The exploratory analysis and the resulting empirical findings pointed in a completely different direction than the agreed-upon strategy or the narrative the audience was mentally prepared to receive.
Reflecting on this exchange, it became clear that the core challenge was not necessarily that the audience was stubbornly refusing to hear an unpleasant story. More often than not, they were simply expecting a different story entirely. When an audience is primed to hear one narrative based on their own internal logic or previous briefings, presenting conflicting data can trigger immediate resistance. Recognizing this dynamic is the first step toward effective resolution. Acknowledging those pre-existing expectations before introducing new findings serves as a necessary bridge, helping the audience make the cognitive transition from what they thought they were going to hear to what the data is actually revealing.
This represents a delicate and difficult professional situation. On one hand, the communicator must deeply understand why the audience holds those specific expectations in the first place, respecting the organizational context and the mental models driving stakeholder behavior. On the other hand, the communicator still has a professional obligation to surface what the underlying analysis actually shows, ensuring that decisions are grounded in objective reality rather than comfortable assumptions. Balancing empathy for the audience’s mindset with an unwavering commitment to objective findings forms the bedrock of handling these high-stakes conversations.
Addressing this core tension requires looking closely at the mechanics of communication when the message is unwelcome. So, how does an analyst effectively tell a story that an audience initially does not want to hear?
The answer lies in first making sure it is a story the audience can fully understand, genuinely care about, and see as directly relevant to the decisions immediately in front of them. When content is meticulously tailored to the specific audience in the room, and when it 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 significant operational impacts—even a difficult message is much more likely to be received in the right professional spirit. Instead of feeling like an arbitrary contradiction or an attack on previous decisions, the data transforms into critical intelligence necessary for navigating complex landscapes.
If this particular scenario sounds familiar to professionals navigating corporate politics and analytical hurdles, it is because it represents a widespread systemic challenge. Fellow data storytellers Alli and Ryan recently dug into a deeply related challenge on an episode of their podcast, tackling the complicated scenario of what to do when a leader specifically asks an analyst to find data that proves them right. That particular podcast episode, designated as episode 108 in their series, offers valuable perspective and practical thinking for anyone currently facing similar professional dynamics in their day-to-day work.
Ultimately, the goal in these situations is never to intentionally avoid an uncomfortable truth simply to keep the peace, nor is it to antagonize stakeholders with unwelcome news. Rather, the ultimate objective is to make the data clear, relevant, and useful in direct service of the organization’s broader, long-term success. By bridging the gap between expected narratives and empirical realities, data storytellers can transform friction into productive strategic dialogue.
