Research & Insight · Decision Support
A recurring insights product that turns media, social, web and communications evidence into a clear narrative for senior leadership, not another dashboard.
How can fragmented media, social, web and communications-performance data be synthesised into a concise, recurring assessment that helps leaders understand what is changing, why it matters, and where attention may be needed?
The work was not reporting. It meant deciding which signals were meaningful, how different sources should be read together, when a change was a real shift rather than normal fluctuation, and how to separate reach from engagement from reputation from operational relevance, then turning that into recommendations rather than metric summaries.
At the IFRC I produce a recurring executive insights product for senior leadership. The organisation operates across 191 National Societies and a communications environment spanning emergencies, public policy, fundraising, leadership visibility and institutional reputation.
Teams had no shortage of channel and monitoring data. What leadership needed was a repeatable structure that could bring several evidence streams into one view, and stay concise enough to support a senior-level conversation.
No single metric is treated as a measure of impact. High engagement is not automatically strategic value; low public engagement does not mean a message failed to reach a priority audience; media volume does not necessarily translate into trust, action or fundraising. An apparent shift needs context before it becomes a finding.
Define what leadership needs to understand this month, before touching the data, rather than starting from everything that happens to be available.
Bring media, social, web, audience and institutional signals into one analytical view, so they can be weighed against each other instead of reported side by side.
Identify where signals reinforce, contradict or qualify one another, described in terms of alignment and coincidence, not causation.
Separate noteworthy change from routine movement, and identify the few findings that genuinely deserve leadership attention.
Turn the findings into a concise executive readout: what changed, why it may matter, what the evidence does and does not show, and what teams should examine or do next.
Two developments matter this month: a policy narrative is broadening beyond its usual audience, and a fundraising moment reached far more people than it engaged. Neither is a crisis; both change what to prioritise next.
Coverage of a policy position moved from specialist outlets into general and regional media, and the same framing began appearing in social conversation. Separately, a campaign moment drew unusually high reach with below-benchmark engagement.
The policy narrative is aligned with a shift in who is discussing the organisation. The reach-without-engagement pattern suggests the message travelled but did not yet prompt action; the evidence does not show why, only that the two moved together.
Examine the campaign audience journey before drawing conclusions about the message; prepare a clear position on the policy framing while the broader audience is still forming its view.
Readout first. The two or three developments that matter lead the brief; everything below is support.
Change, then meaning. What moved is separated from why it may matter, so leaders can weigh the interpretation.
Honest about limits. Language stays at “aligned with” and “suggests”; what the evidence does and does not show is explicit.
Watch is not conclusion. Emerging signals are held apart until they are strong enough to become findings.
Ends on a decision. Each brief closes with a focused action or question, not a summary of metrics.
The value was not more data. It was a shared and defensible interpretation of what the data meant.
“A change is not a finding until it survives context. A finding is not a conclusion until the evidence can carry it.”
Reach, engagement, reputation and operational relevance are kept distinct; correlation is described as coincidence or alignment, never attribution. AI speeds the assembly of evidence; the judgment stays human.
Translating a broad leadership problem into research questions; synthesising qualitative and quantitative evidence; designing a recurring research product; identifying the audiences and narratives that matter; communicating uncertainty; and turning findings into recommendations for senior stakeholders, using AI where it helps without outsourcing the judgment.
This page describes the methodology and structure of the work. All examples and visuals are fictionalised or redacted; no confidential organisational data is shown, and the case study does not imply organisational endorsement of this personal website.
Interested in the thinking behind this work? I’m glad to discuss research, measurement and executive insight.
Get in touch →