Published rankings of site selection factors agree with each other. Workforce availability leads, infrastructure follows, and speed to permit, incentive competitiveness, and quality of life fill out the top five. The Site Selectors Guild, Area Development's annual surveys, and the conference panel circuit converge on the same hierarchy.
None of them answers the question a three-person ED office has to settle before the next request for information arrives: which preparation action comes first?
A ranking tells you that power capacity outranks quality of life. It does not tell you whether to spend $6,500 on a Phase I environmental update or $4,000 on a fiber availability study, or whether the utility load letter or the workforce pipeline table gets this week's uncommitted hours. Rankings describe what site selectors want. Sequencing the work of proving you have it is a separate problem, and nobody publishes an answer to it.
This piece introduces a five-variable framework for making that triage decision. Four companion pieces will follow, each taking one operational dimension to the level where a director can assign the task, estimate the cost, and set the timeline. This one stays at framework level: one definition and one illustration per variable, enough to make the logic visible.
The staffing constraint is documented
Three state association surveys describe the conditions these decisions get made under.
- Virginia's 2023 salary survey found 62% of local practitioners working in offices with four or fewer full-time ED employees.
- North Carolina's 2021 survey reported typical local EDO staff of two to four, with agency budgets of $400,000 to $800,000.
- Indiana's 2025 survey placed the largest budget segment at $250,000 to $499,999.
That is the normal operating condition for cities below 250,000 population: two to four staff, low-to-mid six-figure budgets, and a portfolio that runs well past industrial recruitment into retention, small business support, and whatever else the city manager assigns.
The response window for a site selector's RFI is measured in days. The Guild's site-readiness guidance specifies "within days, not weeks." Lindsey Cannon of Quest Site Solutions, in Area Development's Q3 2026 coverage, puts the range at a few days to one or two weeks.
A two-person office cannot compile utility capacity letters, environmental assessments, workforce pipeline data, permitting timelines, and incentive term sheets from scratch inside that window. The documentation has to exist before the RFI arrives.
The five triage variables
Each variable isolates a different dimension of the preparation investment. Scored together, they produce a priority ranking specific to the city's assets, sector targets, and institutional relationships.
1. Elimination power
Will lacking this data point cause the city to be removed from the search entirely?
Site selectors narrow an initial field of roughly 30 candidate sites to five to seven finalists quickly. The Guild's RFI Exchange guidance states:
"Missing information on key items may result in elimination."
The cut is binary. A site that cannot demonstrate it meets a minimum requirement comes off the list regardless of how well it scores on other dimensions.
Elimination runs two ways: the city lacks the documentation, or the documentation it has reveals a disqualifying condition. Cannon describes a case of the second kind. A community submits utility documentation showing service available only after the project's required operating date, and the property is cut. The community contact believed service was available and the letter existed, but nobody on the ED side had read it closely enough to catch the schedule conflict. The city spent the effort to obtain the document and lost the screen on its contents.
So the sequencing rule is to prepare and review the data points that trigger cuts before the ones that only affect scoring: available megawatts, water and sewer capacity, clear acreage, zoning conformance. An office holding current utility load letters and environmental assessments with incomplete workforce demographic tables is in better position than one with polished workforce materials and no verified power documentation.
Previous Playbook coverage established a five-element screening test: capacity, condition, date, responsible party, and validity period. Elimination power determines which answers need that level of rigor first.
2. Reuse value
How many different types of industrial searches does this preparation serve?
Some data points are sector-specific. Hazmat permitting documentation serves chemical and battery manufacturing searches but not food processing or distribution. Rail-spur specifications serve heavy manufacturing but not data centers. Others appear on virtually every industrial RFI regardless of sector: available acreage, power capacity, water and sewer service, zoning status, environmental clearance.
A current Phase I environmental site assessment on the city's primary industrial parcel serves every search that considers that parcel. A detailed analysis of the local welding-certification pipeline serves advanced manufacturing searches and few others. If the office can fund one this quarter, the Phase I serves more future searches per dollar.
Reuse value multiplies the return on the same preparation hour. A data point with high elimination power and high reuse value — available megawatts documented in a current utility load letter — should almost always be prepared before one with high elimination power but narrow sector applicability.
3. Decay rate
How quickly does this data go stale?
A Phase I environmental assessment has a 180-day shelf life under ASTM standards before it requires updating to support the All Appropriate Inquiries defense, which protects a buyer from liability for contamination that predates the purchase. Workforce pipeline data based on community college completions changes with every academic year. Utility capacity changes when a new large user connects or a substation upgrade completes.
Other data points hold for years. Rail-spur geometry does not change unless track is pulled. Interstate distance does not change. Parcel boundaries hold absent subdivision.
A director who commissions a fiber availability study in January has a document that remains accurate for 12 to 18 months in most markets, because buildout timelines are long and service areas shift slowly. A director who compiles a table of available industrial building square footage may have an outdated document within 60 days if a single large lease is signed. The fiber study is the better preparation investment because the documentation holds its value longer, not because fiber matters more than building inventory.
High decay rate does not disqualify a data point from preparation. It means refresh cost has to be factored into the initial investment, and the preparation method should be designed for updating rather than one-time production.
4. Refresh cost
What does updating this data point require in time, money, and coordination?
The range is wide. Updating a parcel inventory costs staff time and phone calls. A workforce demographic pull from the Bureau of Labor Statistics takes an afternoon. A new Phase I environmental assessment runs $3,000 to $8,000 and requires scheduling with a qualified environmental professional. A utility load letter requires the utility to assign engineering staff, review current load commitments, and issue a new document — weeks of elapsed time the ED office cannot control.
For triage, the question is whether the refresh timeline fits inside the RFI response window. If it does, the data point can be updated reactively when a search arrives. If it does not, it has to be maintained on a standing schedule, because there is no way to produce it fast enough once the RFI lands. A parcel table can be refreshed in a day; a utility load letter cannot. Both carry high elimination power, and only one of them can be produced on demand.
Refresh cost interacts with decay rate to set the sustainable preparation burden. A data point with high decay and high refresh cost — a detailed wage survey for a specific occupational cluster — creates an ongoing expense that may not be justified unless the city is actively targeting that sector.
5. Controlling authority
Does the ED office own this data, or does it depend on a utility, state agency, planning commission, community college, railroad, or other entity to produce it?
This variable determines whether a preparation action lands on schedule. A director can compile a parcel inventory, update a building database, or draft an incentive term sheet without external cooperation. That same director cannot produce a utility load letter, a state environmental clearance, a community college completion report, or a railroad willingness-to-serve letter without an institution that has its own priorities, its own timeline, and its own approval chain.
A water and sewer capacity letter from the municipal public works department involves a counterparty inside the same government, and the request can be escalated through the city manager. A power capacity letter from an investor-owned utility involves an entity with no reporting obligation to the city, which may take weeks to respond. Both letters carry high elimination power. The power letter gets initiated earlier because the coordination timeline is longer and the director has less control over it.
Issue #2 of this series mapped the full counterparty landscape — utility, wastewater authority, landowner, college, planning authority, environmental file holder, railroad, state agency — and established that each is an independent answer owner. Controlling authority determines which of those relationships to maintain proactively and which can be activated on demand.
How the variables combine
The five variables do not produce a universal priority list. They produce one specific to a city's infrastructure, institutional relationships, and sector targets. The logic is consistent even where the output is not.
An action that scores high on elimination power and reuse value, low on decay and refresh cost, and sits under the ED office's own control gets done first.
An action with high elimination power under external control has to be started well before any RFI arrives. The investment there is in the relationship and the request protocol, so the document can be refreshed on a schedule the office can predict.
Run the utility load letter, which has come up under four of the five variables above, through the full score. Elimination power: high, because available megawatts are a binary screen on nearly every industrial RFI. Reuse value: high, because the same letter serves manufacturing, distribution, and data center searches. Decay: moderate — capacity moves when a new large user connects or a substation upgrade finishes, not monthly. Refresh cost: high, in utility engineering staff time and weeks of elapsed calendar. Controlling authority: external. The output is to open the relationship early, negotiate a standing refresh protocol, and treat the letter as a first-tranche action despite the cost and the external control, because the elimination power and reuse value are too high to leave unanswered.
An action that scores low on elimination power belongs in the second tranche whatever its other attributes. Workforce demographic profiles, quality-of-life materials, and incentive marketing collateral matter during the scoring phase of a search. They do not prevent elimination during the screening phase.
The credible no
The framework's most valuable output is a documented basis for declining searches the city cannot win.
Fort Collins, Colorado formally evaluates site, utility, workforce, and strategic-fit conditions before committing staff capacity to a prospect response. Jefferson County, Tennessee reported in January 2022 that it had received 13 RFIs in the prior quarter, responded to four, and was working on two more, declining the rest on documented mismatches in land, building requirements, wages, capital investment, or environmental fit. SEDCOR, the regional EDO for Oregon's mid-Willamette Valley, wrote in August 2026 that most data-center inquiries it received after 2023 did not advance because project needs and regional resources did not match.
Each of those is a preparation investment decision made in real time: the decision not to spend 20 to 40 staff hours assembling a response for a search the infrastructure cannot support.
The five-variable scoring process produces this output directly. When a director evaluates power capacity and finds high elimination power, external controlling authority, and a ceiling that cannot move within a realistic project timeline, the framework has identified an operating boundary. A director who knows that substation capacity tops out at 12 MW and the upgrade timeline is 36 months can document that boundary and decline searches requiring 50 MW or more. The same scoring that says "prepare the utility load letter first" also identifies the class of searches the city's utility infrastructure excludes. The documentation is itself a preparation product — the specific ceiling, the specific timeline, sourced to the utility's engineering assessment — and it converts an implicit limitation into an operating boundary that can be communicated to state partners, site selectors, and the city manager's office.
Issue #5 of this series established a method for recording no-bids and first-cut losses so the pattern reaches the budget process. The credible no extends that method one step earlier, using the preparation framework to identify which categories of search the city should not pursue before the next RFI arrives, and to document the infrastructure basis for that decision.
An office that declines three searches per quarter on documented infrastructure grounds recovers roughly 12 staff-weeks per year — capacity that redirects toward preparation actions improving competitiveness for searches the city can win.
What follows
This framework is the decision layer. The four companion pieces each take one operational dimension to execution level: how to negotiate a standing utility capacity agreement, how to structure a workforce data refresh protocol, how to build an environmental documentation maintenance schedule, and how to construct the operating-boundary document that supports a credible no.
The framework is usable now. A director can list every data point a site selector might request, score each on the five variables, and identify the three or four preparation actions that should have started last quarter. What that list contains will differ by city — by infrastructure, by institutional relationships, by the sectors the city can credibly pursue — but the scoring method that produces it is the same.
- "Shovel-ready" means different things: Virginia's five-tier VBRSP framework separates characterized land from infrastructure-deliverable land from construction-ready land, with materially different documentation requirements at each level — a useful vocabulary for cities trying to describe what their sites actually have rather than what a marketing label implies.
- Environmental reports have two clocks: A state site-certification program like Virginia's may accept a Phase I ESA completed within five years, while ASTM E1527-21 limits transaction reliance to assessments whose information is no more than one year old, with specified components updated within 180 days — a distinction that determines whether an existing report needs refreshing or replacement.
- New York is treating power as a separate readiness layer: Empire State Development's $300 million POWER UP initiative awarded more than $38.9 million in its first four grants in April 2026, recognizing that standard site certification does not prove electric deliverability for industrial loads.
- Utility queues show the gap between inquiry and commitment: AEP Ohio reported pre-tariff data-center requests exceeding 30,000 MW, while projects willing to execute binding contracts and provide collateral totaled 5,642 MW as of February 2026 — a ratio that illustrates why a utility's stated interest in serving a site differs from reserved capacity.