Internal Β· Pilot design

What the pilot dataset shows

Every figure on this page is computed from the pilot records at page load β€” nothing is typed in. Swap in real interview data and this page updates itself.

⚠️ Sample data, built to design the pilot β€” not measured outcomes. These 25 records were written to test whether the diagnostic categories hold together. They are not evidence of impact, and no figure here should be quoted to a funder as a result. Replace with anonymised interview data as the pilot runs.

Primary constraint

The single limiting factor identified for each business. No constraint dominates β€” which is the argument against a one-size-fits-all programme.

Hiring readiness

Readiness is not the same as willingness. Most businesses need preparation before a wage is safe for them and for the worker.

Sector mix

Deliberately concentrated in fashion/apparel, with adjacent consumer businesses included to test whether the categories generalise.

Growth stage

Where each business sits today. Stage and constraint are related but not interchangeable β€” scaling businesses still fail on operations.

Constraint against hiring readiness

The table view of both charts above β€” and the answer to β€œwhere do the 33 potential jobs actually sit?”

Revenue spread β€” aggregate only

Counted into bands on purpose. Individual revenue is private to each business and never appears on a listing, in a search result, or on this page.

How to read this honestly

This dashboard describes a designed sample, not a measured population. It is useful for exactly one thing right now: showing that the diagnostic categories are coherent and that different businesses genuinely need different interventions. The moment real interviews land, the sample records should be replaced rather than added to β€” mixing designed and observed data would make every number here unciteable.