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How to Run a Founder City Field Test

Test a startup city through ordinary workdays, company dependencies, founder routines, costs, planned access, chance encounters, follow-up, and counterevidence.

Aug 4, 20266 min readBy Dalton Anderson

How to Run a Founder City Field Test

A founder city field test should answer whether repeated life and work in a place improve the company's access and the founder's ability to sustain the work. It should not ask only whether the city is exciting.

Write the hypotheses and comparison before booking. Recreate ordinary workdays, test company dependencies, track daily-life friction and full costs, protect other people's privacy, measure follow-up after leaving, and delay the decision until novelty fades.

1. Define the decision

Name the decision horizon. Are you testing a full relocation, a recurring travel pattern, a small office, a first hire, a three-month program, or whether to continue researching the city?

Then define the company stage. A pre-product founder conducting interviews has different needs from a regulated company seeking licenses, a hardware team needing a laboratory, or a sales team opening a market.

The field test should inform one reversible next decision. It should not become a referendum on your identity or ambition.

flowchart LR
    A["Written hypotheses and comparison"] --> B["Ordinary work and life"]
    B --> C["Planned access and open exposure"]
    C --> D["Cost, friction, and privacy-safe evidence"]
    D --> E["Post-trip follow-up"]
    E --> F["Delayed review and smallest next commitment"]

2. Write hypotheses and disconfirming evidence

"New York will be great for networking" is too broad.

A testable version might say, "During ten ordinary workdays, I can complete four qualified insurance research conversations without losing more than six hours to transit and scheduling." Another might say, "The door-to-door trip to the international airport is reliable enough for the travel pattern the company expects."

For every hypothesis, write what would count against it. If only one meeting happens, if the relevant people work remotely elsewhere, if the trip requires unsustainable spending, or if the founder cannot complete normal work, record that result.

Do not rewrite the hypothesis after arrival to preserve the city's appeal.

3. Choose a comparison

Compare the candidate city with the current operating base, a distributed option, or another serious location. Use the same questions and, where possible, the same duration.

Public data can establish part of the baseline. The Census Business Dynamics Statistics provide current measures of firm startups, shutdowns, establishment births and deaths, and job creation and destruction across geography and industry. They do not measure personal access or fit.

The SBA location guide identifies taxes, zoning, regulations, costs, target market, and incentives as location considerations. Use the actual state and local agencies and qualified advisors for a real decision.

4. Design ordinary days

Novelty can make a founder tolerate a schedule that normal life will not.

Include several workdays with the same responsibilities you carry at home. Attend calls, complete deep work, handle administration, shop for food, move between likely work and housing areas, manage exercise or care, and get enough rest.

Do not fill every hour with meetings. An unscheduled day reveals whether the city supports focus, routine, and recovery.

A conference week, free lodging, friend's apartment, or unusually open calendar should be labeled as a nonrepresentative condition.

5. Test access deliberately

Schedule a small number of meetings tied to named dependencies. A customer-research conversation should answer a specific question. A regulator or professional advisor should clarify a defined issue. A facility visit should test availability, cost, and fit.

Record response time, scheduling lead, transit, required introduction, eligibility, cost, and the next step.

Proximity does not equal access. An institution can be nearby and still unavailable because of membership, stage, price, policy, reputation, or relationship requirements.

6. Leave room for unplanned exposure

Spend time in relevant, comfortable, recurring environments without turning every outing into prospecting. A trade event, coworking common area, public lecture, industry association, neighborhood cafe, or community activity may increase exposure.

Use normal social judgment. Do not interrupt confidential conversations, follow someone, record people without permission, collect personal details without a purpose, or misrepresent your role.

Log an encounter only at the level needed for the test: setting type, relevance, mutual interest, permission for follow-up, and agreed next step. Private names and details belong in a protected relationship system.

An encounter is not a business outcome.

7. Track cost and friction each day

AreaEvidence to record
WorkPlanned output, completed output, interruptions, workspace quality, and time-zone effects
AccessMeeting lead time, transit, response, relevance, and next step
MobilityDoor-to-door time, reliability, accessibility, transfers, and fallback
Daily lifeHousing context, food, care, health access, community, rest, and ordinary errands
CostLodging, transport, workspace, meals, events, care, and abnormal subsidies
EnergyFocus, recovery, sensory load, sleep, and whether the pattern repeats
CounterevidenceFailed assumptions, absent resources, barriers, and unexpected tradeoffs

Avoid exact private routines or locations in a public report. The operating record can be detailed without becoming a security map.

8. Test the local resource network

Use [[How to Map a Founder's Local Resource Network]] before arrival. Select ten resources and attempt the real access path.

The map should include company dependencies and ordinary-life supports. If the business meeting is easy but the founder cannot find a workable home, commute, care arrangement, or recovery routine, the test has discovered a material constraint.

Add fallbacks. One delayed train or closed workspace should not destroy the test, but repeated single points of failure should be visible.

9. Measure what happens after leaving

Wait long enough for the trip's social energy to decay.

Send only the follow-ups that were invited. Record replies, second conversations, introductions, research interviews, documents shared, pilots, decisions changed, and conversations that quietly ended.

A 2022 Science experiment on weak ties studied job mobility on LinkedIn, not founder-city tests. Its finding that tie strength and outcomes had a nonlinear, industry-dependent relationship is a useful caution against assuming that more new contacts automatically create more value.

Count evidence that changed the work, not the size of the contact list.

10. Review after a delay

Compare the results with the hypotheses, vetoes, budget, and comparison location. Separate observations from interpretations.

Ask which advantages require residence, which can be obtained through periodic travel, which were created by novelty or special access, and which tradeoffs would worsen over a normal year.

Research on entrepreneurship and cities connects local entrepreneurial patterns with labor, suppliers, education, demographics, and industry. It does not determine an individual founder's move. Use ecosystem evidence as context beside the field record.

Choose the smallest next commitment that will teach you more. That may be another ordinary-month test, a recurring visit, a small local presence, a delayed decision, or no move.

A private field-test record

FOUNDER CITY FIELD TEST

Decision and horizon

Company stage and location-sensitive jobs

Hypotheses and disconfirming evidence

Comparison and founder or household vetoes

Schedule and ordinary-day design

Budget and nonrepresentative subsidies

Planned access results

Privacy-safe serendipity log

Work, life, cost, energy, and counterevidence

Post-trip follow-up

Decision, uncertainty, review date, and reversal plan

Do not publish the raw relationship log.

[[How to Choose a Startup Location]] provides the larger decision model. [[How to Create More Useful Serendipity]] focuses on exposure, conversation, permission, and follow-through.

Editorial note

This field-test framework does not recommend a destination or provide individualized legal, tax, immigration, financial, employment, health, safety, accessibility, insurance, or relocation advice. Current official sources were checked on July 28, 2026. The draft was developed with AI assistance from the preserved episode and cited sources, then prepared for privacy, relocation, accessibility, legal, tax, safety, and human editorial review. Publication has not been authorized.

Sources

Follow the evidence.

  1. youtu.be: XCQYY0YQ8syoutu.be
  2. sba.gov: business guidesba.gov
  3. nber.org: w18333nber.org
  4. nber.org: w13551nber.org
  5. daltonanderson.net: finding startup serendipity in new york citydaltonanderson.net
  6. census.gov: business dynamicscensus.gov
  7. open.spotify.com: 1msfy3LY1B3mWXACRbOyrjopen.spotify.com
  8. daltonanderson.ghost.io: finding startup serendipity in new york citydaltonanderson.ghost.io
  9. sba.gov: pick your business locationsba.gov
  10. doi.org: j.jbusres.2025doi.org
  11. science.org: science.abl4476science.org
  12. census.gov: bdscensus.gov
How to Run a Founder City Field Test