When the Music Changes: Reflections on Teaching Policy Impact in Cape Town

What happens when you ask 30 African education specialists to stop running regressions and start writing for a busy education Minister or Director? In early June 2026 in Cape Town, as the late autumn light filtered into a lecture room at the University of Cape Town, I found myself standing in front of a room full of experts. They were not beginners. They were data analysts from national statistics offices, PhD economists, monitoring and evaluation directors from Kenya, Zambia, Ghana, and South Africa, and policy advisors who have spent years wrestling with foundational learning crises.

They could read a regression table in their sleep. They knew the difference between a standard deviation and a standard error. But when I asked them to answer a single question —"If you had 2 minutes with the Minister of Education in your country, what is the one thing you need them to do?" I observed their non-verbal communication. Their knowing smiles were the starting point for two intense days of rethinking how we bridge evidence, policy, and practice.

The Laptop That Taught Us Humility

I opened the first session with a story that still stings for many Kenyan researchers. In 2013, the government committed USD $600 million to a One Laptop per Child program. The problem? Rigorous evidence from PRIMR and global studies already showed that hardware alone does not teach literacy. Researchers had the data. They had the models. Yet the policy went ahead anyway.

Why? Because the laptop was a best buy in politics: visible, innovative, and easy to promise. The research, however precise, did not speak to the political or fiscal reality of the moment. This was not a failure of evidence. It was a failure of communication.

Over the following days, we worked through a hard truth that many of us in the data world prefer to avoid: policy research influences practice only when it respects political and fiscal realities. That does not mean abandoning rigor. It means adding empathy, timing, and simplicity to our toolkit.

From 80 Pages to Two Pages

The core of our work was the two-page policy brief. For participants used to writing 80-page PDFs with beautiful regression tables, this was a form of intellectual torture. And then, liberation.

We used a simple framework. Every brief had to answer three questions:

1. Does this require new money I do not have? (Fiscal constraint)
2. Will this help me get re-elected or keep my job? (Political survival)
3. Can I explain this in two minutes to the Cabinet? (Simplicity)

If a brief could not answer those questions, the participant was guided to “go back to the drawing board.” The main goal was to achieve strategic simplification.

What the 23 Policy Briefs Taught Us About the State of African Education

Out of 30 participants, 23 submitted their final two-page briefs. That is a 77% submission rate; remarkably high for any intensive writing exercise, and proof to how seriously this cohort took the challenge of translating evidence into action. These 23 briefs were not academic exercises. They were drawn from real, often unpublished, national and sub-national data across the continent.

The themes that emerged were striking in their urgency and their consistency. Across countries as different as Kenya, Ghana, Zambia, South Africa, Sierra Leone, Senegal, and Benin, the same five crises appeared again and again:

1. The learning crisis is a foundational crisis. Multiple briefs documented that being in school does not equal learning. One brief from Kenya showed that 35% of Grade 6 learners cannot read a Grade 3 story. Another from Ghana found that nearly half of Grade 4 learners are not meeting minimum national proficiency in reading and numeracy. A South African brief demonstrated that learners who do not master letter-sound correspondence by the end of Grade 1 have a 75-80% chance of being unable to read words by Grade 2.
2. Remote learning failed the most vulnerable. During COVID-19, Zambia's special educational needs schools largely shut down learning entirely. Over 80% provided no alternative mechanisms, and more than 60% lacked digital devices and internet access. The pandemic did not create these gaps; it exposed them.
3. Parental engagement is not optional. A brief from Kenya argued powerfully that parents are the primary influencers of foundational learning outcomes, yet government policies focus almost exclusively on teachers and learners. Evidence from Botswana showed that mobile-based learning only produced significant gains (a 12% improvement and 31% reduction in innumeracy) when combined with active parental involvement through phone calls and guidance.
4. Student-centred teaching exists mostly on paper. Ghana's new curriculum promotes inquiry, project-based learning, and group work. But classroom observations found that questioning (85.9%) and discussions (79.0%) dominate, while project-based learning (2.5%) and design-and-make (4.0%) are almost invisible. Similarly, Kenyan classroom observations showed that teachers direct 84.5% of literacy lesson time to whole-class instruction, with small-group learning below 10%.
5. Policy implementation gaps are the rule, not the exception, From Senegal's secondary school curricula failing to prepare youth for employment, to Zimbabwe's drought-driven dropout crisis affecting girls and poor children most severely, to Sierra Leone's workbook programme where 84% of teachers said pupils used the workbooks but only 14% of activities were fully completed, the gap between policy intent and classroom reality was the single most consistent finding across all 23 briefs.

The Uncomfortable Power of Trade-Offs

A recurring theme in our peer feedback sessions was the difficulty of talking about trade-offs. Researchers want to say, "Reduce class sizes to 30 students." But as we discussed using Kenyan data, reducing a class from 60 to 30 costs KSh 12 billion per year for a 0.15 SD gain. Alternatively, daily 30-minute targeted instruction (Teaching at the Right Level) costs KSh 1.2 billion for a 0.35 SD gain.

Evidence alone does not choose between these options. But presenting trade-offs, effect sizes next to cost, political feasibility next to ideal outcomes, gives a Minister something they rarely receive: an honest menu of choices.

One participant from South Africa's Department of Basic Education noted wryly, "If you don't tell us what we should stop doing, you haven't given us a policy recommendation. You've given us a wish list."

The Quality of the Briefs: A Spectrum from Promising to Decision-Ready

Let me be honest about the 23 briefs. The quality was not uniform. About a third were genuinely decision-ready, they named a specific policy actor (e.g., "The Director of Basic Education"), gave a concrete deadline (e.g., "by January 2027"), and stated a measurable success condition (e.g., "80% of schools running daily reading groups"). These briefs understood that a recommendation without a responsible party and a timeline is just an opinion.

Another third were methodologically strong but politically naive. They assumed that if the evidence was clear, the policy would follow. They did not anticipate opposition from teacher unions, parental preferences for English over mother tongue instruction, or the reality that ministries face multiple competing crises every week.

The final third struggled with the two-page format. They tried to fit three years of research into 800 words. Their briefs were crowded, unfocused, and would almost certainly be deleted before the second paragraph. But even these briefs contained valuable insights; they simply needed another round of ruthless editing and a clearer answer to the question: "What is the one thing you need the Minister to do?"

What the Group Taught Me

I came to Cape Town to teach. But I left learning three things from the cohort. First, the appetite for peer critique is enormous when trust is established. In our structured "plus/delta" feedback sessions, participants were brutally kind—specific about what worked, and direct about what didn't. One assessment expert told a peer, "Your finding is compelling. But your recommendation assumes we have data systems we do not yet have. Start smaller."

Second, mother tongue instruction is not just a technical issue. Several participants from West and East Africa shared how parental demand for English (seen as prestigious) blocks evidence-based policy. Their solution? Not to fight English, but to design transitional bilingual models. Compromise with reality, not with evidence.

Third, the "December Report" is a continent-wide failure mode. Multiple participants admitted submitting their finest work just as ministries closed for holidays. We now have a new rule: Identify the budget cycle before you identify your sample size.

The Importance of Decision-Ready Briefs for Data for Impact

This entire exercise rested on a simple premise: data only has impact when it is decision-ready. A flawless regression stored in a PDF on a hard drive changes nothing. A well-timed, clearly written, trade-off-honest brief placed in front of a Director who has the authority to act - that can change everything.

The AFLEARN Data Hub exists precisely because African education systems are awash in data but starved for actionable synthesis. Ministries produce annual statistics. Donors fund large-scale assessments. Researchers publish peer-reviewed papers. Yet Ministers still make decisions based on instinct, political pressure, or the loudest voice in the room - because the evidence is not packaged for the pace and constraints of governance.

Decision-ready means:

• Timely: Aligned with the budget cycle, not the academic calendar.
• Specific: Names the decision, the decision-maker, and the deadline.
• Honest about trade-offs: Shows what must stop for something new to start
• Fiscally aware: Distinguishes between what requires new money and what can be done by reallocating existing resources.

The 23 briefs we produced were not perfect. But most of them are decision-ready. And that is rare in my experience.

Monday Morning: The Real Test

The participants submitted their two-page briefs. I read each one carefully and returned written feedback. But the real test is not whether I approved of their grammar or their chart choices.

The real test comes on Monday morning, when a Deputy Director in Lusaka, Nairobi, or Pretoria opens an email. Will they read past the subject line? Will they see a trade-off they can actually act on? Will a child's reading outcome change because a data analyst learned to write a policy brief? I do not know. But I am more hopeful than I was in early June. I almost said, I can now rest in peace. But this would have been misconstrued to mean am ready to exit this world. The contrary is true. AFLEARN is developing acritical mass who will take over from me to move the needle in the foundational learning space. So I will rest, nay retire in peace knowing the future is secure.

A Closing Note to the Cohort

You did an immense amount of work in a very short time. Your 23 policy briefs—covering special educational needs in Zambia, teenage mothers in Ghana, vocational training in Benin, reading champions across South Africa, foundational learning assessments in Kenya, mother tongue instruction in Ghana, mobile-based learning in Botswana, early childhood education in Zambia, curriculum implementation across multiple countries, drought and dropouts in Zimbabwe, socio-emotional learning in Zambia, neighborhood learning groups, gamification and AI in South Africa, school-to-work transitions in Senegal, and workbook use in Sierra Leone—represent one of the most concentrated collections of actionable education evidence I have seen from an African cohort.

These briefs are not ends in themselves. They are tools. Conversation starters. The real work: building relationships, understanding the politics, being a trusted partner to the ministries you serve, continues from here. As a Yoruba proverb says: When the music changes, so does the dance.

Yesterday's successful dance (such as the gold standard that was the Tusome program in Kenya) will not fit tomorrow's new music. Our strategies must change. Our writing must change. But our commitment to foundational learning for every child on this continent? That remains the same. Now go share your two-pager. And let me know what happens on that Monday morning when you have done so.

Postscript for readers

The course, Foundational Learning Data for Impact: Mastering Data Interpretation and Communication, was hosted by the African Foundational Learning (AFLEARN) Data Hub at DataFirst, University of Cape Town, with support from the Gates Foundation. The participants represented 12 African countries. Of the 30 participants, 23 submitted final policy briefs - a 77% submission rate. Any errors or oversimplifications in this reflection are mine alone.