In most organisations, insight teams are not short of data, tools, or analytical capability. Dashboards are richer than ever. Models are more sophisticated. Outputs are faster.
Across the industry, £millions have been spent on ensuring data can be captured quickly and easily, and that this data is at the fingertips of decision makers.
And yet – to quote a colleague’s blog from earlier this year - There’s no doubt that business decision-making is broken. Decisions don’t change and insight doesn’t hold the influence that it should, even when it has been invested in by the business.
This is the uncomfortable truth at the heart of the disconnect between insight and business decision making: the failure is rarely in the quality of data or analysis. It’s in the communication.
Insight communication sits in that awkward space between ‘hard’ analytics and ‘soft’ influence, which often means it is undervalued, underfunded, and underdeveloped. When done well, it is the difference between insight that just ‘exists’ and insight that creates impact (and therefore represents a genuine ROI!).
So: What does effective insight communication look like, why is it so difficult to get right, and how can teams make the case for investing in it? To answer this, it’s important to consider the following steps…
One of the most common mistakes in insight communication is starting with the data and working outward. Effective communication does the opposite: it starts with who you are talking to.
This is something we recently got wrong within my team on a project. As an agency, we should always be doing that work to ensure that we have had the ‘audience’ conversation with a client. This didn’t happen, so at the point of delivery, our insight was strong but the communication was not (as it needed to be, in this instance) packaged to be executive-facing.
Different stakeholders interpret value through very different lenses:
The same insight, delivered in the same way, will not land equally with all three.
This means insight teams must act as translators, adapting the message into the ‘working language’ of each audience. Not just simplifying, but reframing:
For executives: ‘This will increase retention by 3% and reduce churn risk in the highest-value segment.’
For operations: ‘Customers are dropping out at this step. Here’s what needs to change in the process.’
When insights are expressed in a way that mirrors the conversations stakeholders are already having, they are far more likely to stick - and to be reused.
An insight without a decision is just interesting information. Every piece of insight communication should be anchored to two simple questions:
What decision does this support?
What should change as a result?
If you cannot answer these clearly, your audience won’t be able to either. This is where many insight outputs fall. They present findings, trends, and data points—but stop short of the ‘So what?’. Without that bridge, stakeholders are left to interpret implications themselves, which often leads to inaction.
Clarity of purpose sharpens everything:
It forces prioritisation (what actually matters?)
It highlights relevance (why should anyone care?)
It creates accountability (what happens next?)
There is also a critical connection here to customer salience. The most effective insight communication doesn’t just recommend action, it grounds that action in the voice of the customer.
Not: ‘Engagement is down in this segment.’
But: “Customers are telling us this part of the experience is frustrating, and they’re leaving because of it.”
That shift makes the decision feel not just logical, but necessary.
Insight teams often fall into the trap of equating complexity, in the guise of ‘completeness’, with effectiveness. More charts. More data. More detail. Which is great if the purpose of the insight is deep understanding, learning and modelling. Perhaps the world would be a better place if these things were thought of as more valuable by decision makers, but that isn’t where or how we live.
In reality, this usually has the opposite effect.
Insight Communication that actually drives action in a modern setting is defined by signal clarity:
One core message per communication
Minimal supporting data—only what is needed to build trust
Clear visual hierarchy that directs attention to what matters
The goal is not to show everything you know. It is to ensure the thing that matters is understood and remembered.
This is particularly important in senior environments, where attention is limited and cognitive load is self-diagnosed as very high. A dense, data-heavy report may demonstrate effort, but it rarely drives action.
Instead, leading teams are shifting toward:
Clear, concise insight statements
Focused storytelling
Supporting evidence moved to appendices
This balance is critical. Too little evidence, and credibility suffers. Too much, and the insight gets buried.
How you communicate insight is just as important as what you communicate.
Different formats serve different purposes:
Slide decks can be effective for structured storytelling and ‘decision moments’
Dashboards are useful for ongoing monitoring and exploration
Video and audio can bring the customer voice to life in a way that data cannot
This last point is often underutilised. Charts are powerful, but they can also distance stakeholders from the human reality behind the numbers.
Hearing a customer describe frustration in their own words, or watching them struggle with an experience, creates emotional connection. And because that negative experience is always the one chosen when the power of video/audio is discussed: Hearing a customer describe satisfaction or seeing them succeed, creates emotional connection and lets you know when you’ve done a good job. These snippets can break down the barrier between ‘data’ and ’real life.’
If the goal is to drive action, not just understanding, then format choice should be deliberate:
What will make this insight land?
What will make it memorable?
Given its importance, why is insight communication still such a challenge?
The answer lies in how organisations are structured and incentivised.
Data infrastructure, analytics platforms, and modelling capabilities are tangible. They feel like investments. Communication, by contrast, is often viewed as subjective - something people should “just be able to do.”
So, when budgets are allocated data pipelines get funded, tools get upgraded and insight communication is treated as a ‘nice to have’. Ironically, this is often where the value is lost.
This is arguably the biggest issue. Most insight professionals are rewarded for accuracy, volume of output and technical sophistication. They are not rewarded for whether stakeholders understood the insight, whether decisions changed or whether impact was created.
Teams optimise for what is measured… even if it doesn’t translate into business value.
Great insight communication sits at the intersection of analytical thinking, business understanding, storytelling ability and stakeholder awareness.
Most organisations hire for one or two of these, not all four. Training programmes tend to focus heavily on tools, rather than influence, narrative, and communication. The result is highly capable analysts who struggle to translate their work into impact.
There’s also a problem around advancement here. A junior is rarely trusted to be ultimately responsible for the communication of insight, particularly in a debrief setting. Seniors aren’t afforded the workload space and time to help mentor this skill, and the idea of getting the time to run mock-debriefs and spend genuine time and investment on this area is almost laughable in a ‘produce, produce, produce’ world.
Simplifying insights sounds straightforward, but it often feels risky. Analysts worry about ‘dumbing things down’, stakeholders may challenge simplified messages and organisations often equate complexity with intelligence.
So instead of driving clarity, teams retreat into detail. Research projects are clubbed into irrelevance by stakeholders ramming in yet another set of extra questions into the design, yet another set of cross-tabs into the analysis, yet another 3 slides of charts in a PowerPoint deck. But complexity does not signal intelligence. Clarity does.
If insight communication is working, you can see it.
Stakeholders repeating insights in their own words, actions being directly traced back to insight outputs, and a visible ‘you said, we did’ loop (both internally and with customers) are all clear hallmarks of success.
This last point is particularly powerful. Closing the feedback loop and demonstrating that customer input has led to real change as it not only reinforces internal alignment, but also builds trust externally. It signals that the organisation is genuinely customer-led, not just data-informed.
On the assumption that the business does undertake impact assessments on its data and insight, and insight communication is undervalued, how do you convince budget holders to take it seriously?
The key is, as is so often the case, an ROI narrative. Reframe it not as a ‘soft’ capability, but as a value multiplier.
Some practical approaches:
Stress where insights failed to land to make the problem tangible. This can be highlighted through duplicate work due to lack of awareness, missed opportunities despite available data, or decisions that were delayed or made without evidence.
Show where strong communication has driven impact, whether that be through faster decision-making, improved customer experience or measurable commercial outcomes.
Position communication as the bridge between insight and ROI, not an optional extra.
What gets measured gets done, so introduce metrics such as stakeholder understanding, insight adoption and decision impact.
Even lightweight tracking can begin to change behaviour.
Training should go beyond technical skills to include storytelling, stakeholder management and strategic thinking. In some cases, this may also mean introducing hybrid roles - people who can sit between insight teams and the business.
Organisations don’t suffer from a lack of insight. They suffer from a lack of impact. Impact doesn’t come from better charts or more sophisticated models. It comes from insights that are understood, remembered, and acted on.
Insight communication is not the final step in the process. It is the moment where value is either created or lost.