A structural analysis of your current intake funnel, identifying 4 revenue leaks and proposing irrefutable, executable fixes.
Hi SkillBoost Africa team.
This isn't a document I prepared to impress you in theory. These are the actual things I would work on if you took me on as a SIWES student. I'm sending it now so you can evaluate whether what I'm bringing is real or not.
Here's what I've observed from the outside, and exactly how I'd fix it.
From what I can see, your intake flow looks something like this:
This is actually a smart setup. The video-before-commitment model filters out people who aren't serious. The group creates community before anyone spends money. These are strong instincts.
But there are 4 places where time and money are leaking out every single intake cycle. I'd like to fix all four.
When a page speaks to everyone, it doesn't convince anyone deeply enough. A student seeking SIWES has completely different fears from someone who wants to learn a skill from scratch, or a professional who already has skills and needs internship placement.
Your team wastes hours manually asking "what kind of person are you?" on WhatsApp. That is time not spent closing enrolments.
I would build a segmentation section that forces people to self-identify before they ever see a form. Try clicking one below to see how it changes the conversation:
You've felt this pain: students who enter the pipeline enthusiastically, get placed on client work, then abandon the project because "school got in the way." It delays deliverables and costs you reputation.
Right now, an uncommitted student and a serious one look identical. You only find out the difference weeks in.
I would build a SIWES page designed to do two things: excite the right student, and quietly push away the wrong one.
"We only accept SIWES students who can confirm all of the following:
β Available onsite [X days/week] for the full period.
β No project abandonment β your deliverable is tied to a real client.
β Supervisor letter and ITF letter required before your start date."
The form has one mandatory checkbox: "I have read and agreed to the commitment criteria." The uncommitted ones will leave before applying. Your team stops wasting intake energy.
You likely have space for NYSC corps members or self-taught professionals who already have skills and just need placement. Right now, there is no dedicated landing page for them. They are your lowest-friction applicants, yet they arrive and see a generic page.
A focused page showing your track record, the live projects they'll touch, and exactly what they walk away with (verifiable experience). A focused page converts this segment at a significantly higher rate than a generic "apply" button.
Someone watches your path video. They're inspired. Then life happens and they never respond. This is where most of your potential revenue disappearsβbecause they said "let me think about it" and nobody followed up structurally.
A zero-ad-spend automated sequence to capture the "maybe laters".
By the end of my 4-week implementation, the SkillBoost intake engine will operate with:
| Before | After (The Outcome) |
|---|---|
| No Segmentation: The team talks to everyone manually. SIWES, interns, and learners all receive the exact same generic messaging. | Zero Wasted Intake Time: Applicants self-segment before seeing a form. The team's energy is highly targeted to specific individuals. |
| SIWES students abandoning projects midway. | High-Commitment Cohorts: Strict pre-qualification filters out unserious students on day one. |
| Potential revenue lost in the "let me think about it" phase. | Automated Revenue Recovery: A 4-step sequence automatically follows up and closes the "maybes". |
I haven't theorised any of this. I have done it.
ETT School of Christian Apologetics: 100+ leads in 7 days. β¦12K spend. Filled
cohort.
Eminent Educational Consult: 100+ enrolled. Sold out in 3 days.
PMSA: Contributed to 35% revenue growth in Q1 2026.
HiiT Plc: Managed cohort operations for 80 students across 20 project groups.
I am applying for SIWES at SkillBoost Africa. Everything described above is what I intend to work on from day one. I'm not looking to clock hoursβI'm looking to build systems that scale.
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