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Visibility Is Easy, Trust Is Harder: Three Recommendations for Better Impact Communication

Authors Niamh Barry, Carlotta Maucher, Laura Beresford

Across organizations in the social impact sector, a similar tension shows up in different forms. Teams run complex programs, generate insights, and produce a steady stream of reports, posts, and slide decks. Yet many leaders and technical teams share the same frustration: even strong work can be overlooked, flattened, or ignored.

While visibility is relatively easy, garnering trust is much harder, and articulating complexity is harder still. Many communications approaches still default to efficiency metrics like views, downloads, and shares because they are straightforward to track. These signals increasingly miss the questions that matter most: whether the people an organization needs to reach understand the work and whether they regard it as credible.

In our work at Caribou, we’ve started putting greater weight on credibility signals rather than just efficiency (i.e., visibility) signals. Credibility signals show up in the quality of engagement, rather than the quantity, and include the questions funders and partners ask after reading, the way your work is referenced in decision-making conversations, and whether your writing becomes a touchstone people return to when priorities shift.

Suba Vasudevan of Mozilla cautions that organizations should start “auditing for credibility signals, not just efficiency signals.” Efficiency signals answer: “Did this get seen/clicked/shared?” But the credibility signal answers: “Did this increase trust, authority, or perceived quality?”

This shift has practical implications for authors and analysts on how to decide what is worth publishing, how to maintain impact narratives, and how to package evidence so that busy people can use it. Here are our recommendations: 

1. Be more selective in an AI-saturated world

Artificial intelligence (AI) has changed the baseline for written material. Clear prose can now be produced quickly and at scale. For teams with limited time, AI writing tools can be useful for first drafts, structure, and editing.

The flood of content facilitated by AI also raises the bar for what is worth putting into the world. When almost any claim can sound plausible, readers need clearer signals of judgment, accountability, and experience. So we have learned to be more selective and more explicit about what lies behind our writing.

In practice, we have started publishing fewer pieces, with more intent. This can mean resisting the temptation to turn every project milestone into public commentary. This means that authors must remain close to the writing from content inception through to promotional social media posts. 

AI can still support the process, particularly for structure, clarity, and routine tasks. However, “when it comes to generative and analytical work, start with the human and end with the human,” says Jonathan Donner, Chief Knowledge Officer at Caribou.

Credibility grows when the work is clearly guided by human judgment and the authors stand behind their claims. Those choices create credibility signals that no amount of automated content can replicate.

2. Keep your narrative aligned with your strategy

Organizations rarely stand still: new services launch, partnerships form, and priorities shift. When the stories organizations tell about themselves remain tied to earlier versions of their work, that disconnect weakens credibility. For example, a workforce development program might still describe itself as a training provider, even after evolving into a platform for employer partnerships, job placement, and youth entrepreneurship. A humanitarian technology initiative may continue to frame its impact around pilot projects, despite now influencing national policy and procurement. In each case, the work has advanced faster than its narrative.

Keeping narratives aligned matters because decisions follow understanding. Funders and partners connect with the story they perceive. When narratives fall behind reality, organizations seem narrower and less relevant than they are. 

This is not only a communications problem, it is a credibility problem. Efficiency signals can remain strong with high report downloads and well-attended events, yet confidence in an organization’s relevance declines when the narrative no longer reflects the work.

The solution is practical, and one we apply in our Impact Storytelling work. Focus on the problem you’re addressing, not just the activity you perform. Let evidence guide the narrative with clear steps and credible data. Encourage outside perspectives to enable teams to see contributions that proximity might overlook. Update narratives together so internal understanding aligns with external messaging.

Organizations that regularly update their narratives enhance their credibility, sharpen their positioning, and increase their influence with decision-makers. In rapidly changing environments, maintaining narratives is a vital strategic practice and a direct way to strengthen credibility signals.

3. Design evidence for usability, not just rigor

At Caribou, we’ve written more than 300 publications, large and small. Our reports are rigorous and carefully considered, reflecting months of thinking, analysis, and collaboration. Yet, while reports, whitepapers, and articles remain the cornerstone of knowledge generation, static content alone does not serve every reader or use case.

How can we ensure that deep insights are usable for people with limited time and competing priorities? For instance, decision-makers read differently from researchers. They skim, search, and return to material when a specific question arises. Formats that assume patient, linear reading can struggle to meet those realities, even when the underlying work is rigorous.

Format and experience matter as much as content. To help complex evidence travel further, we have increasingly experimented with more interactive approaches:

These formats do not replace detailed reports, but extend them, making depth easier to access and easier to apply. They also generate better credibility signals. Interactive tools show where readers spend time, what topics they return to, and which questions they ask. Those patterns reveal far more about real understanding than traditional engagement metrics can.

From these three shifts, we’ve drawn a consistent conclusion. Credibility grows when communication respects people’s time and intelligence, when stories keep pace with the work, and when evidence is shared in ways that accommodate the priorities of a diverse readership. 

We keep testing, refining, and measuring these approaches in our own work, and we learn something new with every project. If you are wrestling with similar challenges, we would welcome the chance to swap experiences and compare notes. Reach out

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