MakerSpaceby DreamSpace Academy

Venture building

The venture pathway

The DreamSpace Lifecycle — three stages, one thread and four support modes — for changemakers who choose the venture route.

Version 3.3.0 Published 27 August 2026 Updated 28 August 2026

Three stages, one thread, four support modes

The DreamSpace Lifecycle is DreamSpace Academy’s pathway for building impact ventures. It picks up where the Maker Journey ends, and only for the people who take the venture route — the other routes out of the Journey do not pass through here, and are not lesser for it.

Entry Co-created through the Maker Journey Discovered outreach, bootcamps, events Three stages Stage one Changemaker Discovery Output: a Changemaker Candidate. Stage two · the gate Grassroots Innovation The converting act: Candidate → Changemaker Stage three Impact-Venture Building For those who take the venture route. Thread — challenge-based learning Not a stage. It is how teaching runs at every point on the pathway. Four support modes · drawn on in any combination, in any order Co-creation Building alongside the changemaker, not for them. Connections Introductions to funders, experts and networks. Domain expertise Specialists who refine the solution when it is needed. Funding Seed grants, facilitation, and access to capital. Entry is by condition, never by age or by time served. People enter at the stage their evidence supports, leave from any stage, and return. The named routes out of the Maker Journey are examples, not a closed set.
A pathway, not a pipeline. The stages are real; the single arrow through them was not.
Why this is drawn as three and not five

The pathway used to be described as five sequential stages: discovery, challenge-based learning, grassroots innovation, domain expertise, and venture building. Reviewing the documented cases, almost none of them ran those five in order — and two of the five turned out not to be stages at all.

Challenge-based learning is a method, and methods run through stages rather than occupying one. Domain expertise is something a changemaker draws on when they need it, at any point, sometimes without ever passing through a formal programme. Both were moved to where the record says they actually sit. The five names are kept; the numbered sequence is not.

Two ways in — and one of them was the bottleneck

Discovered

Outreach, bootcamps, exposure events, discovery workshops. This is the historical route, and it worked — but it depended on finding people who arrived already motivated. That is a search problem, and search problems do not scale predictably.

Co-created

The Maker Journey builds the motivation rather than hunting for it. Explorer, Maker and Innovator produce people who have already chosen to work on something real. This is current practice, and it converts discovery from a search problem into a delivery problem.

The distinction is worth dwelling on, because it is the strategic argument for the whole Maker Journey. The hardest constraint was never equipment, funding or curriculum — it was identifying changemakers. And note precisely what was hard: not reaching people. Intake through field visits, open application calls and bootcamps already worked at volume. What was hard was waiting for already-motivated individuals to surface, which makes supply unpredictable and exhausting to sustain.

There is also a rarer third variety, recorded separately because it is genuinely different: scouted — where someone is found through work they had already published themselves, without ever attending anything. It is real, it is not a sub-case of discovery, and it is not evidenced at scale. It is the same thing the grassroots-innovation literature describes when networks scout existing unaided innovators[47], which makes this model a hybrid: mostly creating grassroots innovators, occasionally finding them.

A person entering this pathway is a Changemaker Candidate — entered on demonstrated motivation and commitment, not yet a Changemaker.

The gate — grassroots innovation

A Changemaker Candidate becomes a Changemaker by producing a grassroots innovation. Not by time served, not by completing a programme, not by intent.

The output can be a product, a service or an initiative — the form does not matter. What matters is that all three tests hold: the problem came from the community, a user outside the makerspace has tested it, and someone depends on the outcome.

Two things this gate does that a softer one would not

It excludes work built around a set problem. When we screened past projects against these tests, the single largest cause of failure was the first — the problem had come from a competition brief, a funder’s call, a lab exercise or the maker’s own curiosity rather than from a community. That is what the first test exists to catch, including when the resulting build was excellent. It is not a test of who introduced the problem: mentoring and lab support are the normal route here and do not affect the gate.

It makes the model’s central number countable. With a gate, “how many changemakers” has a defensible answer. Without one, it is a headcount of enthusiasm.

This is the best-evidenced part of the model and also, by the record, its rarest stage — which is the opposite of how such pathways are usually described. The destination is better documented than the gate, and that is worth stating plainly: it points at exactly where the work now sits.

Impact-venture building

For Changemakers who take the venture route, the third stage is launching and growing something that sustains itself and has a purpose beyond itself. Rather than running every founder through one programme, specific programmes are designed for this stage — a startup challenge with seed funding is one such vehicle.

Progression here is measured by the venture operating, and by revenue and impact being tracked — not by a graduation date. Ventures are reported as active, dormant, closed or transformed, separately, because a portfolio that only lists the live ones is not a portfolio.

This stage is where the “Earn” hypothesis is tested. It is not where it is asserted.

The thread — challenge-based learning

Challenge-based learning is how teaching runs at every point on this pathway, not a phase of it[12]. Lab rotations, interdisciplinary workshops and challenge projects appear before discovery, during innovation, and inside venture building.

Artificial intelligence gets the same treatment for the same reason: it is a thread through the whole pathway, not a stage of it and not a separate space. Anything that shows up in every kind of work is a thread; drawing it as a stage misdescribes the work.

The four support modes

These are offered in any combination and any order, before or after the gate. The record shows nobody using them as a sequence — which is precisely why they are not drawn as one.

ModeWhat is provided
Co-creationBuilding alongside the changemaker — co-founding, joint projects, shared risk. Not building it for them.
Connections and brokerageIntroductions to funders, specialists, networks and international opportunities.
Domain expertiseSpecialists — including international ones — brought in to refine a solution when the work needs it.
FundingSeed grants, an impact loan facility, and help getting in front of the people who fund things.
An unusual admission about brokerage

Connections and brokerage is the mode most often named as this organisation’s differentiator, and it has essentially no external research literature behind it — a search across a corpus of nearly three hundred papers in the field returned nothing on brokerage, boundary spanning or knowledge brokering in this context. That means our own record is the only evidence that will exist, which makes measuring it load-bearing rather than optional. It is instrumented first for that reason. See measurement.

The metric this structure creates

Because the gate is explicit, a genuine conversion measure falls out of it: candidates in, Changemakers out. That denominator is the thing most youth innovation programmes cannot produce, and it is the reason the gate was worth defining precisely.

Two measures are published rather than one, because they answer different questions and collapsing them produces a number that can exceed 100%:

  • Candidate conversion — candidates meeting the Changemaker gate, divided by eligible candidates. A measure about people.
  • Innovation yield — qualifying innovations, divided by candidates, cohort or person-time. A measure about output.

Both require stable identifiers for people and for innovations, and a written rule for innovations produced by teams. Until those exist, neither figure is published: a conversion rate built on ambiguous identifiers would carry more confidence than the data supports.

What is still open

Published because it is true
  • The duration is unsettled. Different figures are attached to different programmes in different years, and they may describe genuinely different programmes rather than one that shortened. We are not averaging them, and we do not publish a single “it takes N months” figure until it can be attached to a named programme.
  • The conversion rate is not yet known. Until it is, no claim about how well this pathway performs overall is available — only that its individual parts are evidenced.
  • Drop-out is under-modelled. We know people leave from every stage, and we do not yet know enough about why. Every stage now records leavers and reasons; the answers are not in yet.
  • The bridge has a gap. Someone can finish the Maker Journey and not yet be ready for a multi-year venture pathway. A holding route — alumni projects, workshops, assistant-maker roles — exists to catch that, and it is a readiness gap, never an age gap.