Evidence Debt
A four-person EDO that commissions a Phase I environmental, a utility capacity letter, a workforce summary, and a wetland delineation has taken on four maintenance obligations with four different shelf lives and four different refresh costs. The Phase I carries a 180-day ASTM reliance window. The utility letter can be invalidated overnight by a single queue event at the substation. The workforce numbers shift with every semester's completion data. The wetland delineation may hold for years.
When one document in the stack goes stale, the site selector doesn't discount that document alone. A 14-month-old Phase I sitting next to a current utility letter raises a question about the whole package: what else here is old?
Think at the portfolio level before commissioning any study. How many of your target-sector searches does it answer? Can your team refresh it on an RFI clock — typically 5 to 10 business days? A wetland delineation that serves every industrial parcel inquiry for three years earns its refresh cost. A council resolution authorizing incentives for a single prospect that never materialized does not. The readiness documents that cost the most to carry are the ones that serve one search and decay fast.
Quality of Life Screens for Retention Risk, Not Civic Enthusiasm
Site selectors asking "What's the quality of life here?" are pricing turnover — whether workers at the project's wage band can afford housing, find childcare that covers second shift, and get to work in under 30 minutes. The typical tier-3 answer runs on magazine rankings, festival attendance, and "family-friendly community" language, occupying space where wage-indexed housing data and shift-matched childcare inventories belong. This teardown covers what to stop presenting and what replaces it: specific sources, formats, and the exhibits that give a selector something to sort on.
Quality of Life Screens for Retention Risk, Not Civic Enthusiasm
Site selectors asking "What's the quality of life here?" are pricing turnover — whether workers at the project's wage band can afford housing, find childcare that covers second shift, and get to work in under 30 minutes. The typical tier-3 answer runs on magazine rankings, festival attendance, and "family-friendly community" language, occupying space where wage-indexed housing data and shift-matched childcare inventories belong. This teardown covers what to stop presenting and what replaces it: specific sources, formats, and the exhibits that give a selector something to sort on.
Five Variables for Deciding Which Site-Readiness Evidence to Build First
Published rankings of site selection factors converge on the same hierarchy — workforce, infrastructure, permitting, incentives — without telling a three-person ED office which preparation action to fund first. This framework scores every readiness investment against five variables: elimination power, reuse value, decay rate, refresh cost, and controlling authority. The output is a priority sequence specific to your city's infrastructure, sector targets, and institutional relationships. It also produces documented grounds for declining searches your assets cannot support, freeing staff capacity for the ones they can.
Five Variables for Deciding Which Site-Readiness Evidence to Build First
Published rankings of site selection factors converge on the same hierarchy — workforce, infrastructure, permitting, incentives — without telling a three-person ED office which preparation action to fund first. This framework scores every readiness investment against five variables: elimination power, reuse value, decay rate, refresh cost, and controlling authority. The output is a priority sequence specific to your city's infrastructure, sector targets, and institutional relationships. It also produces documented grounds for declining searches your assets cannot support, freeing staff capacity for the ones they can.
When Your Site Data Expires and What Triggers a Refresh
A utility capacity letter dated 14 months ago sits well inside its printed validity period. The utility committed 8 MW of that headroom to another customer in March. The letter is current; the number is wrong. Every proof item in a site readiness portfolio runs on two clocks, a printed expiration and an external event, and a system watching only the first will miss the second. This piece maps validity windows, refresh triggers, and ownership across every major evidence category, from utility letters that go stale in weeks to geotechnical borings with no calendar expiration at all.
Your Target Sector Determines Which Preparation Gap to Retire First
A tier-3 ED director with a $40,000 predevelopment budget and three target sectors will typically spread it across power documentation, site readiness, and workforce data for all three. Every dimension advances a little; none reaches a passing answer. Site selector screening is sequential, and the first-cut question for a precision machining search is different from the one for food processing or battery components. A city that fails it never reaches the second screen. This piece identifies the early eliminator for four tier-3-targetable manufacturing categories, what a passing answer looks like, and what it costs to produce.
The Capital Case for Site Documentation
A site selector working a 30-property long list does not call back for missing studies. The site gets cut, and the city is never told. Documenting a 40-acre greenfield industrial parcel to first-cut screening standard costs $80,000 to $160,000. This piece breaks that figure into line items — Phase I ESA, geotechnical, wetland delineation, boundary survey, utility capacity, traffic — with current cost ranges and sourcing, then maps four state programs (FAST NY, VBRSP, SiteOhio, Select Tennessee) that offset part or all of the spend.
Build the Evidence Library Before the RFI Arrives
A site selector screening 30 communities may give yours a day to respond. A team of three to eight people cannot treat every RFI as a custom research project and still meet that window. This piece walks through six screening dimensions and classifies the evidence within each as reusable (assemble once, file for any inquiry), project-triggered (requires the prospect's specific inputs), or pre-stageable (templates and protocols that compress build time when customization is unavoidable). The goal is a permanent library where 90% of your response package exists before the inquiry does.