After the Analysis: The Harder Work of Making Evidence Count

What does it mean to communicate data well? On the surface, it seems like a technical question — about charts, statistics, and the right level of detail for a given audience. Ask the participants of the AFLEARN Hub's third annual Mastering Data Interpretation and Communication course, and a more layered answer emerges. The gap between a rigorous finding and a decision that improves a child's learning experience cannot be filled by more data alone — it requires clarity, strategy, and an honest understanding of the political and human contexts in which that data exists.

Can Policy Research Make a Difference?

Guest lecturer Professor Hellen Inyega opened the course by posing the central question: “Can Policy Research Make a Difference?”

She emphasised that the research–policy–practice cycle is deeply political. Research alone, she argued, is not enough. Meaningful impact requires an understanding of the political and incentive structures within which policymakers operate. Successful implementation often depends on whether research evidence resonates with political allies, voters, and other key constituencies.

These sentiments were echoed by Dr Nompumelelo Nyathi Mohohlwane, who shared insights into communicating effectively with government. She highlighted the complexity of navigating competing interests and responding to pressures from teacher unions, donor partners, private sector contractors, and parent associations.

Equally important is the ability to communicate evidence in ways that are both rigorous and politically compelling. This requires moving beyond simply presenting what the data shows to explaining what findings mean for learners, teachers, and ministry officials. Translating complex findings into clear, accessible messages is both difficult and essential. Rather than being dismissed as “dumbing down” research, it should be recognised as a critical skill for driving meaningful impact.

Researchers often experience the tension between the immense effort required to produce rigorous evidence and the slow or limited uptake of that evidence in policy and practice. Yet research that meaningfully informs policy must remain attentive to political and fiscal realities, requiring researchers to be strategic, empathetic, and patient. This was aptly demonstrated by guest lecturer Sipumelele Lucwaba, who shared practical examples from the strategies and advocacy efforts employed by South Africa’s 2030 Reading Panel.

Who Are Your Change Drivers?

Dr Linda Zuze emphasised the importance of entering policy spaces with a clear objective and a precise understanding of who has the authority to act on research recommendations. Central to this process is identifying where power lies, who shapes decision-making processes, and which stakeholders influence policy outcomes.

A key message throughout the session was that research cannot afford to speak vaguely. Too often, recommendations are framed broadly in ways that avoid identifying who is responsible for addressing a problem. Meaningful policy influence, however, requires both boldness and specificity.

Clarity as a Tool for Impact

Renowned author and journalist Pippa Green facilitated a writing workshop focused on the role of clear, purposeful writing in communicating research effectively and connecting meaningfully with audiences. Emphasising clarity and simplicity, she cautioned against verbosity and unnecessarily lengthy texts that can obscure key messages and weaken impact.

The session served as an important reminder that strong research depends not only on the quality of the evidence, but also on how effectively ideas are communicated. For participants working in literacy and education, the workshop reinforced the responsibility researchers carry not only to advocate for good communication, but also to model it in their own writing and engagement with audiences.

Recognising that clarity begins with a strong understanding of the data itself, Dr Emma Whitelaw presented on the importance of accurate and meaningful data interpretation at every stage of the analysis cycle. With the rise of large language models, access to statistical support is increasing, making the ability to interpret findings accurately an increasingly important skill. The session explored how to avoid common analytical pitfalls, account for uncertainty responsibly, and critically engage with the metrics used to communicate and compare learning outcomes.

A Picture Worth a Thousand Data Points

Prof Cally Ardington and Dr Chifundo Kanjala guided participants through the principles of effective data visualisation and demonstrated how AI can be used to create visually compelling graphics that communicate data clearly and thoughtfully.

As attention spans shrink and public engagement becomes increasingly visual, researchers are challenged to create graphics that move beyond being merely “report ready” to being accessible and engaging for broader audiences. Using the visualisation capabilities of R alongside the data analytic power of AI, participants were shown how to responsibly create impactful visuals that accelerate the communication of research findings.

The gap between research and improving children's learning experiences was not resolved by the course - nor could it be. But participants left better equipped to give their evidence its best chance of being heard. What the week demonstrated is that impactful research is not only about the quality of the finding. It is equally about clarity in messaging, interpersonal strategy, and an honest understanding of the political and human contexts in which that evidence must ultimately land.

Access the training materials used for this course via the link below. We would love to hear about your experience with the course materials—connect with us on LinkedIn or email us at datafirst@uct.ac.za if you have any questions or feedback.

Link to training materials: Mastering Data Interpretation and Communication