01

Constrain the market

Choose one location, category, service, or customer profile where the team can reach both sides. Density creates better learning than a broad catalogue with no credible matches.

02

Define the unit of exchange

Write what one side offers, what the other requests, which information makes a match qualified, and what counts as completion. This unit shapes listings, search, status, and measurement.

03

Onboard supply deliberately

The first suppliers often need help creating useful inventory or availability. Manual onboarding can raise quality and reveal which information the eventual self-service flow must collect.

04

Make trust proportional

Identity, business verification, reviews, deposits, guarantees, availability, and support all add cost and friction. Choose the smallest set that makes the specific exchange credible.

05

Operate before automating

Let the team match, review, moderate, or resolve exceptions manually when volume is low. Record the work. Repeated operational patterns become the strongest case for the next automation.

06

Measure failed exchanges

Track qualified supply and demand, match rate, time to match, completion, repeat behavior, and the reason each promising exchange stops. Total sign-ups rarely explain what the market needs.