Scalable job creation models for developing economies

The most scalable job creation models for developing economies are the ones that build real, profit-generating micro-businesses in five weeks without giving participants any external funding. The Human Entrepreneur runs this kind of model. The unit cost is under R25,000 per business at scale (around $1,390 USD). Across three independently evaluated cohorts in South Africa, the model has produced 30 businesses in 21 days (Diepsloot and Orange Farm, 2020), a 319% average profit increase across 63 participants (2023 scaling cohort), and, in Meyerton 2025, an average profit of R19,150 across the 11 participants who completed the programme through to the final independent evaluation (out of 20 enrolled). The model holds up across formats, demographics and locations. That is what makes it scalable.

What "scalable" actually means in job creation

Most programmes can grow. That is not the same as being scalable.

A scalable job creation model has four properties.

• Low and stable unit cost. The cost per profitable business stays low as the programme grows. If the cost climbs with scale, the model is not scalable. It is just bigger.
• Short cycle. From start to working business in weeks, not years. Long programmes lose people. Short programmes keep unit economics and impact intact.
• A teachable method, not a personality. If only one person can deliver it, it is not a model. The method has to travel.
• Independent measurement built in. Numbers generated within the programme will not withstand scrutiny at scale. Numbers from independent third-party evaluators will.

Most large public works and incubation programmes fail at least two of these tests. Cost per job stays high. Survival rates drop as the programme widens. The result is the same set of unemployment numbers, five years later, with more money spent.

The model in one paragraph

The Human Entrepreneur's Rapid Entrepreneurship Development Programme runs for five weeks. Two days of intensive theory work, then four weeks of an entrepreneurship apprenticeship. No external funding is given to participants. 

People are in the market within the first week. Revenue, profit, customers and survival are tracked weekly. Independent third-party M&E is built in from day one. The thing the programme changes is the person. The business that comes out the other side is built by a changed entrepreneur, not delivered by a curriculum. For a deeper walk-through of the model and its results, see the page on rapid entrepreneurship development programmes.

The proof across three cohorts

Three cohorts across five years, three different formats, three different demographics. Same model. Independent third-party evaluation each time. 

We have data from many other programmes that we ran over the past 6 years. 

• Diepsloot and Orange Farm, Johannesburg, 2020. Two township locations during the pandemic. 57 young people. 30 businesses built in 21 days. 73% woman-owned. 25 jobs created. 53% still trading and profitable six months later. Net Promoter Score of +80. No external funding given to any participant.
• The 2023 scaling cohort. 63 participants attended at least one day, across two parallel cohorts in Johannesburg. 65% female. 100% African. Average age 25. 79% had never attended any formal entrepreneurship training before. During the programme, average revenue rose by 266%. Average profit rose by 319%. Net Promoter Score of +85 on the apprenticeship.
• Meyerton, 2025. 20 people enrolled in Gauteng's Midvaal area. 84% female. 100% African. Average age 34.7. 11 completed the programme through to the final independent evaluation. All 11 had a business still running with paying customers at the end. Average profit across the 11 was R19,150 (around $1,065 USD). Net Promoter Score of +100. The number of participants who said they felt in control of their future rose from 53% at the start to 100% at the end.

Three different formats. Township, urban scaling, small town. Three different age and gender mixes. Same five-week structure. Same person-first method. Same shape of result.

That is the early signal that the model travels.

How we already know the model travels

The four properties above are not theoretical claims. They have been tested across three independently evaluated cohorts so far.

The 2020 Diepsloot and Orange Farm cohort proved the model works in a township, in three weeks, with 57 young people, during a pandemic. HollieJayde Consulting did the evaluation.

The 2023 scaling cohort proved the model works at 63 participants in parallel, with 65% female and 100% African participants and an average age of 25. Average profit rose by 319% during the programme. Average revenue rose by 266%. Independently evaluated.

The 2025 Meyerton cohort proved the model works in a small-town setting. 20 people enrolled. 11 completed the programme through to the final independent evaluation. 84% female participation, average age 34.7. RossBradley Consulting did the evaluation. All 11 had a business still running and paying customers at the end. The Net Promoter Score from the 11 was +100, the top end of the scale.

Three different formats. Three different age and gender mixes. Different consultants doing the M&E in different years. Same shape of result each time.

That is the only kind of evidence a serious policy or donor reader should trust. We have it.

What makes this model different from other scaled approaches

This is the comparison that matters for any policy or donor reader. Below is an honest, plain-English read of where this model sits next to other scaled job creation approaches that are common in developing economies.

• Public works (EPWP-style). Creates large numbers of short-term work opportunities by paying participants directly. The jobs exist as long as the subsidy exists. When the subsidy stops, the jobs stop. No business is built. No entrepreneur is built. The unemployment number returns to where it was. Useful as emergency relief, not as a path out.
• Microcredit and micro-lending. Gives small loans to micro-entrepreneurs. The lending model has helped many people. It has also indebted many people whose businesses did not survive. Credit changes the cash position. It does not change the person running the business. Survival rates remain low for the same reason that traditional incubation produces low survival rates.
• Traditional business incubation. Long programmes, business plan focus, mentorship, and sometimes a grant. High cost per surviving business, low survival rates, often built around future funding that the participant will not receive. The full case is on the page on why traditional business incubators fail in developing economies.
• Vocational and skills training. Teaches a trade or skill, then exits the participant into a job market that may not have jobs. Works well where employment demand is strong. Struggles where it is not, which is most of the developing world.
• Rapid, person-first entrepreneurship development. Changes the person. Puts them in the market in week one. No external funding. Five weeks. Independently evaluated. The business that comes out the other side is owned, run and sustained by an entrepreneur who has been changed in a way that survives the end of the programme.

Businesses come and go. Entrepreneurs have to remain. The other models leave the participant where they started once the programme ends. This one leaves them as a different person, still going.

What the next scale step needs from a funder

The model is built. The unit cost is established. The independent M&E discipline is already standard practice on every cohort we run. The method is documented. What changes from here is volume, not invention.

For a funder ready to commission the next scale step, the structural shift that matters is on the funding side, not the delivery side.

Most job creation funding pays for inputs. Workshops delivered. Heads through the door. Hours of training. A scalable job creation model needs funders willing to pay for outputs. Working businesses. Jobs underneath them. Survival at three, six and twelve months.

When funding is tied to outputs, and independent M&E confirms them, scale is no longer a projection. It is a decision.

We do not teach people to fish. We make fishermen. The next phase of this work is making more fisherman-makers, in partnership with funders who want measurable economic activity on the ground, not more reports.

Sustainable Development Goals this work addresses

For donor reports and policy alignment, this work touches seven of the UN Sustainable Development Goals.

• SDG 1 (No Poverty). Participants move from no or low income to weekly trading income within five weeks.
• SDG 4 (Quality Education). The programme is education through enterprise, with measurable knowledge gains tracked in independent M&E (for example a 189% knowledge gain on handling sales objections in the Meyerton cohort).
• SDG 5 (Gender Equality). Cohorts have consistently been 65% to 84% female and 100% African.
• SDG 8 (Decent Work and Economic Growth). Participants build real, dignified businesses that they own and run themselves.
• SDG 9 (Industry, Innovation and Infrastructure). Cohorts include construction, manufacturing-adjacent, and agriculture businesses alongside services.
• SDG 10 (Reduced Inequalities). The model works with people who have no funding, no business plan, sometimes little formal qualifications and no commercial contacts.
• SDG 17 (Partnerships for the Goals). The model is designed to be delivered through partnerships with corporates, government, NGOs and donors.

These are not aspirational tags. Each one is grounded in the cohort numbers above.

Who should commission this kind of programme

Government local economic development units that need fast, visible jobs inside one budget cycle, not five.

International donors and bilateral agencies that want measurable, dignified work outcomes at unit economics that make the funding model defensible to taxpayers and trustees.

Large NGOs running livelihoods programmes that want to add a person-first activation layer in front of their existing curriculum.

Corporate transformation heads who need ESD and CSI spend to produce real, audit-ready jobs and businesses rather than reports.

The same model. Different commissioners. Same numbers.

Talk to us today

If your portfolio is national job creation, women's economic empowerment, youth employment or local economic development, you already know the gap between the budgets and the actual jobs delivered.

The model is built. The cost line is known. The independent evidence is on the table. The next move is a funder ready to back it at the next scale up.

Tell us what your portfolio looks like. Tell us where you want measurable businesses on the ground inside the next twelve months. We will tell you honestly whether this fits.

Talk to us today.

Frequently asked questions

What is a scalable job creation model for developing economies? A scalable job creation model has four properties: a low and stable unit cost per surviving business, a short cycle from start to working business, a teachable method that does not depend on a single person, and independent third-party measurement built in from day one. The Human Entrepreneur's Rapid Entrepreneurship Development Programme meets all four.

How long does it take to build a working business in this model? Five weeks. Participants are in the market, making real sales from the first week. The model does not give external funding and does not require it.

What does it cost per business? Under R25,000 per business at scale (around $1,390 USD). This is the unit cost The Human Entrepreneur has measured across its own delivery. 

How is this different from public works programmes like EPWP? Public works programmes create work opportunities that exist only while the subsidy exists. When the subsidy ends, the work ends, and the participant returns to where they started. A rapid entrepreneurship development programme creates a real, trading business owned by the participant. The business and the income continue after the programme ends, without subsidy.

Which Sustainable Development Goals does this work address? SDG 1 (No Poverty), SDG 4 (Quality Education), SDG 5 (Gender Equality), SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation and Infrastructure), SDG 10 (Reduced Inequalities) and SDG 17 (Partnerships for the Goals). Each is grounded in measured outcomes from independently evaluated cohorts, not aspirational tagging.