Demand Intelligence answers the question a pro forma cannot: is the occupancy the model assumes actually available in this specific market? This sample is a decision brief: the verdict comes first, and every section that follows either supports it or stress-tests it. It is derived from an actual completed engagement, with a second masked real site demonstrating the firm’s live demographics engine. The client, address, city, ZIP codes, and competitor identities are protected, while the sourced catchment values and relative market relationships are preserved.
1. The Verdict
The catchment has the demographic depth, the local office market shows demand redistributing rather than disappearing, and the competitive field validates the category while leaving positioning gaps open. Demand supports the model if pricing lands in the evidenced tier — and nothing in this brief guarantees occupancy. The verdict is stated first because that is what a decision brief is for. Everything below either supports it or attacks it.
The local demand case, in eight signals
2. The Question & The Method
One question governs every section of this brief: is the occupancy the financial model assumes actually available in this specific market? This sample demonstrates the brief on two masked real sites — the completed engagement behind the verdict above (a 20,000 RSF suburban program, geography masked as 55XXX) and a live pull from the firm’s demographics engine (an urban neighborhood site, masked as 981XX), shown in Part II. Every figure in a live brief carries one of four provenance labels: sourced via a federal API, researched with a named source, derived arithmetic with the math shown, or an admitted assumption. A number that fits none of those categories does not appear.
The underlying engagement evaluated a 20,000 RSF suburban flex workspace using a 5-mile catchment, surrounding feeder communities, actual operator distances, regional office-market evidence, and property-specific access conditions. Identifying geography is masked here to protect the client. Values shown below are reproduced from the named source package used in that completed study.
The macro market captures the regional wealth arc, enterprise vendor demand, suburban spoke-office behavior, and the flight to quality away from the downtown core.
The core catchment is the frictionless commute threshold, usually a 7 to 12-minute drive. That is where convenience becomes a daily habit and a membership.
3. Site & Trade Area · The 5-Mile Sweet Spot
The macro market explains the size of the opportunity. The 5-mile ring explains the behavior. In suburban flexible workspace, a 5-mile radius is the frictionless commute threshold, usually a 7 to 12-minute drive for members. That is where convenience becomes a daily habit.
The actual 5-mile study captured an intersection of executive suburban wealth and white-collar commercial activity. Its reported daytime population expanded by more than 35,000 workers, showing that the opportunity was supported by both nearby residents and the commercial corridor. Geography is masked; the relationship among the subject pin, feeder zones, and office spine is preserved.
4. Catchment Demographics
Two reads, two masked real sites. First, the completed engagement’s 5-mile values as reported in its source package; then the live engine’s layered block-group pull, which is how every new brief is now sourced.
Residential base inside the frictionless commuter catchment of the subject address.
A local income profile that supports premium office and membership pricing.
Bachelor's degree or higher, placing the catchment in a strong white-collar demand band.
Layered Catchment Read · Live Demographics Engine
The values above are reproduced from the completed engagement's source package. The block below is different: a live, block-group-level trade-area pull from the firm's demographics engine, run against a second real candidate site (identity masked, ZIP 981XX). Every figure traces to a named federal source — U.S. Census ACS 5-Year estimates aggregated across the exact block groups inside each ring, a routed drive-time catchment, Bureau of Labor Statistics employment series, and Census Nonemployer Statistics. No brokerage-package averages, no unsourced estimates.
| Catchment | Population | Households | Median HH Income* | Bachelor's or Higher | Work-From-Home Share |
|---|---|---|---|---|---|
| 1-mile radius | 25,649 | 9,930 | $120,718 | 60.4% | 32.0% |
| 3-mile radius | 110,783 | 43,970 | $118,275 | 53.8% | 27.4% |
| 5-mile radius | 388,049 | 180,055 | $119,936 | 57.9% | 27.7% |
| 10-minute drive-time | 72,602 | 27,880 | $108,278 | 49.7% | 26.5% |
*Weighted average of block-group medians — a true catchment median is not derivable from published tables, and this analysis says so rather than implying false precision. Sources, all retrieved July 2026: U.S. Census Bureau, American Community Survey 2019–2023 5-Year Estimates via api.census.gov at block-group level — tables B01003 (total population), B11001 (households), B19013 (median household income), B15003 (educational attainment, age 25+), B08301 (means of transportation to work, incl. worked-from-home). Ring assignment: U.S. Census Bureau TIGERweb block-group geometry, centroid-in-radius method. Drive-time polygon: OpenRouteService routed isochrone (driving profile, 10 minutes). Site geocoding: U.S. Census Bureau Geocoder. Exact census geographies are withheld here to protect the client site.
Nearly one in three employed residents within a mile already works from home. These are not commuters to convert; their current alternative is the kitchen table.
Freelancers and solo operators — 2.7 for every employer establishment in the county. Each one is a single-desk prospect.
A labor market loosening, not deteriorating — tracked as a monthly series, so the demand read carries direction, not just a snapshot.
The work-from-home share falls as the rings widen (32.0% → 27.4% → 27.7%): this site sits inside a local remote-work hot spot rather than on the edge of one. That gradient argues for a neighborhood-serving product — the membership base walks or drives minutes, it does not commute in. A demand read at this resolution is only possible because the analysis is built block group by block group, not from a single metro average.
5. Regional Corridor Support
The 5-mile catchment was the conversion engine, while four surrounding feeder communities strengthened the case. Their names and ZIP codes are masked below, but their distinct roles in the actual analysis are preserved.
| Community Type | Income / Education Signal | Demand Implication |
|---|---|---|
| 55XXX-A · Core Commercial Hub | Immediate office corridor and daytime-worker base. | Highway access, existing flex behavior, and the shortest conversion path to the subject. |
| 55XXX-B · Affluent Residential Base | High-income households adjacent to the core ring. | High-trust client demand for advisors, attorneys, wealth managers, and boutique firms. |
| 55XXX-C · Executive Suburb | Highly educated executive residential base. | Professional remote-worker demand and corporate decision-maker proximity. |
| 55XXX-D · Mixed-Use Node | Educated professional audience with established suburban coworking behavior. | Secondary feeder zone supporting hybrid memberships and meeting demand. |
6. Market Trajectory · Medium-Term Demand Support
The wider area is adding housing and transportation improvements that support a work-near-home thesis over time. These are not the core underwriting case, but they compound the demand thesis over a 3 to 5-year stabilization horizon. In a live study, these are localized to your specific municipal projects.
| Project | Status | Relevance to Operator |
|---|---|---|
| State Corridor Managed-Lane Expansion Source: State DOT corridor study cited in the underlying engagement; project name redacted |
Active Planning | New transit routes or highway interchange improvements reduce peak-hour commute friction between residential hubs and the commercial district, expanding the effective drive-time catchment. |
| Regional Bus Rapid Transit Line Source: Regional transit-agency project records cited in the underlying engagement; line name redacted |
Operating | The operating line connects the suburban corridor to the urban core and supports the subject area's position as a transit-connected professional node. |
| Municipal Transit-Oriented Development Corridor Source: City comprehensive plan and corridor study cited in the underlying engagement; place name redacted |
In Development | Priority mixed-use and multifamily development adds professional households inside the catchment and reinforces the work-near-home thesis. |
The core feasibility case rests on the existing household base, income profile, and competitive gap analysis. Future infrastructure investments provide confirmatory evidence that the submarket is a long-term hold.
When a prospective member searches "coworking," they surface a handful of branded operators. Those operators are the pricing and supply benchmark for this analysis, but they are not the competitive frame. This operator is not fighting for coworking market share. It is capturing demand that has historically gone to conventional leases, worked from home without a real office, or remained unserved because no professional flex product existed nearby in the suburban catchment.
The coworking surface demand is the acquisition channel. The real revenue opportunity is the professional who doesn't use the word "coworking" at all. They search "private office near me" or ask their broker for a short-term flexible solution, because what they need is not a hot desk. It is a private, serviced, flexible office they can scale into or out of without a multi-year commitment or a full buildout.
7. The Work-From-Home Economy · The Macro Thesis
Two forces are converging to make suburban flex workspace an inevitable category, not an emerging one. The first is office market redistribution: demand leaving downtown towers and landing in well-located, well-amenitized suburban buildings. The second is a permanent restructuring of how people work and how businesses form.
According to Gallup's workplace tracking, 52% of remote-capable US employees now work hybrid (Source: Gallup State of the Hybrid Workplace Report). It is the floor, not a peak. These professionals need a serious workspace for the days they are not at home, but they will not sign a five-year lease for one. Separately, the US small business formation rate has accelerated to 430,000 new business applications per month, 50% above the pre-pandemic baseline (Source: US Census Bureau Business Formation Statistics). Solo attorneys, independent advisors, fractional executives, and boutique consultants are being created at scale, and every one of them needs a private office, a professional address, and flexible terms they can actually qualify for.
In the underlying market, the urban CBD was reported at approximately 27.5% vacancy while the subject property's suburban corridor showed positive absorption. The completed study used this contrast to test whether demand was redistributing toward accessible suburban product rather than disappearing. Source package: Cushman & Wakefield and Newmark office-market reports.
The source package reported continued CBD pressure alongside positive quarterly absorption in the subject property's immediate suburban submarket. That local divergence, not the national trend alone, supported the work-near-home demand thesis.
8. Traditional Office Conditions and the Flex Opportunity
The completed study examined the latest reported office conditions in the subject property's metro and its two directly relevant suburban submarkets. Geography is masked here, but the reported inventory, vacancy, absorption, and asking-rent values are preserved.
The subject submarket is highly vacant, but it posted meaningful positive absorption.
| Relevant Local Geography | Office Inventory | Vacancy | Quarterly Net Absorption | Class A Asking Rent |
|---|---|---|---|---|
| Adjacent Submarket NAME REDACTED | 16,267,728 SF | 30.2% | +170 SF | $33.76 / SF full service |
| Subject Submarket NAME REDACTED SUBJECT PROPERTY IS HERE | 6,832,483 SF | 29.2% | +37,184 SF | $33.23 / SF full service |
The subject submarket's 29.2% vacancy creates available-space and potential deal leverage, while its +37,184 SF quarterly absorption shows that office demand has not disappeared. This supports testing a flexible-office conversion thesis at the subject address; it does not prove the modeled occupancy on its own.
9. Competitive Supply and Market Gap
The completed study identified four real operators within approximately 0.5 to 5.5 miles. Their names and addresses are masked below, while their observed positioning and relative distances are preserved.
Distances are reproduced from the completed study and plotted to scale. Operator identities and directions are redacted.
| Competitor | Distance | Threat | Positioning Response |
|---|---|---|---|
| Operator A NAME REDACTED | ~0.5 mi | Legacy corporate-services operator in the immediate office corridor. | Differentiate through modern shared space, hospitality, and a stronger arrival experience. |
| Operator B NAME REDACTED | ~1.5 mi | High-end local operator with strong design and community loyalty. | Win with a more explicitly corporate environment, broader network privileges, and better multi-room scaling for teams. |
| Operator C NAME REDACTED | ~3 mi | Hospitality and wellness-driven workspace tied to a larger amenity anchor. | Position as the focused professional environment for law, finance, and formal client meetings. |
| Operator D NAME REDACTED | ~5.5 mi | Established regional executive-suite product with practical utility. | Out-feature with daylight, acoustic privacy, hospitality-first service, and premium meeting rooms. |
10. Network Benchmark Comparison
Raw demographics become more useful when tested against the conditions surrounding existing locations. The completed study compared this subject's 5-mile trade area with the median of the brand's location network. The proprietary benchmark values are masked in this public sample, while the subject values and the resulting directional read are preserved.
| 5-Mile Measure | Subject Trade Area | Brand Network Median | Benchmark Read |
|---|---|---|---|
| Population | 240,761 | PROPRIETARY | Above Median |
| Average Household Income | $154,820 | PROPRIETARY | Above Median |
| Bachelor's Degree or Higher | 67.8% | PROPRIETARY | Above Median |
Exact network medians are proprietary. Marker spacing communicates the verified directional result only and is not a proportional plot.
Exceeding the network median establishes that the catchment has demographic depth comparable to successful brand markets. It does not prove that this address will fill. The competitor field, drive-time friction, asset fit, achievable pricing, and operating execution still determine whether the modeled occupancy is defensible.
11. Demand Sizing — The Demand Math
Most demand studies assume a capture rate and predict members — an assumption that cannot be checked. This brief runs the math backwards instead: the financial model states how many occupied offices stabilization requires, the demographics state the addressable pool, and the division yields the required capture rate — pure arithmetic with no assumed rate anywhere. The only judgment left is whether that required share is plausible, argued from the competitive field and pricing evidence. The illustration below pairs the live-engine site (981XX) with this portal’s sample model: 44 private offices at 85% stabilized occupancy ≈ 37 occupied offices.
| Addressable Pool Basis | Pool Size · Derivation | Required Capture for 37 Offices |
|---|---|---|
| 1-mile work-from-home workers | 4,379 · 13,684 workers × 32.0% WFH share (ACS B08301) | 0.84% |
| 3-mile work-from-home workers | 16,513 · 60,268 workers × 27.4% WFH share (ACS B08301) | 0.22% |
| 3-mile all employed residents | 60,268 · ACS B08301 total workers | 0.06% |
Method demonstration: pool values are the live 981XX pull; the office requirement is this portal’s illustrative sample model. Treats one occupied office ≈ one member business drawn from the pool; dedicated desks, day passes, and virtual office draw additional demand from the same pool and are stress-tested the same way in a live brief. In a live engagement the office count comes from your calibrated pro forma.
Every number above is sourced or derived. The analyst’s only judgment is the verdict on plausibility: whether capturing a fraction of one percent of the trade area’s work-from-home pool is achievable — a judgment argued from the competitive field, pricing evidence, and the operator’s product, and labeled as judgment when it is made.
12. Risk Register — What Would Have To Be True For This To Fail
A recommendation with no stated failure conditions is salesmanship. These are the scenarios that would weaken or break the demand case, each with its mechanism and the read.
| Scenario | Mechanism | The Read |
|---|---|---|
| Work-from-home reversion | If the live site’s 3-mile WFH share reverted halfway toward the national norm (27.4% → 20.5%), the pool contracts from 16,513 to roughly 12,355. | Required capture rises from 0.22% to 0.30% — the sizing thesis survives. Derived, not asserted. |
| A new operator opens inside the core ring | The supply gap narrows and pricing power compresses at the margin. | Positioning and pre-sale become the response; the competitive section is re-run against the new field, not assumed away. |
| Pricing lands a tier below the evidence | Revenue per office falls while the demand pool is unchanged. | A pricing miss is a pro forma stress case — the demand verdict does not rescue a mispriced product. |
| Site access or asset condition underdelivers | Catchment convenience is the conversion mechanism; parking, arrival, and acoustic friction tax it directly. | The site-fit conditions in Section 15 are gating conditions, not amenities. |
13. Demand Personas
| User Type | Demand Profile |
|---|---|
| Boutique Professional | Solo attorneys, wealth managers, and consultants who need a premium address to meet high-net-worth clients. They anchor demand for smaller private offices. |
| Corporate Satellite Team | Regional companies using team suites to support local clients without a conventional lease. They create demand for modular offices that can scale. |
| Hybrid Corporate Drop-In | Remote employees of large employers who need one or two reliable workdays a week outside the home. They drive dedicated desks, day passes, and flex passes. |
| High-Trust Meeting Buyer | Attorneys, advisors, and board members who need private rooms for signings, reviews, and sensitive conversations. They make meeting rooms a meaningful revenue line. |
| Address-First Business | Home-based businesses that need a professional address, mail handling, and occasional rooms. They support virtual-office and meeting-room demand. |
14. Product Mix Implication
The underlying catchment argued for a layout weighted toward private revenue, enterprise teams, and premium meetings rather than casual open coworking.
Smaller offices for solo professionals, advisors, and executives.
Team configurations serving corporate satellites and regional vendor groups.
Premium rooms and event space treated as demand-led revenue products.
Reception, cafe, phone booths, and the arrival experience that carries the premium.
15. Subject Asset & Site Fit
Range reported in the underlying property source package.
Reported existing occupancy made the flex use material to the building's leasing story.
Reported surface and covered parking created a measurable suburban advantage.
| Asset Factor | Observed Condition | Why It Matters |
|---|---|---|
| Total building size | Approximately 71,000 to 76,000 RSF. | Large enough to support a flagship flex concept while preserving conventional office optionality. |
| Typical floor plate | Approximately 18,900 RSF. | The proposed 20,000 RSF program aligned closely with a full-floor strategy. |
| Current occupancy | Approximately 44% leased. | The flex program could act as a meaningful anchor use rather than a token amenity. |
| Parking infrastructure | 313 reported stalls across covered and surface parking. | Parking became a concrete conversion advantage against CBD alternatives. |
Elevated regional office vacancy is a traditional landlord headwind, but it becomes an operator advantage if it produces stronger rent economics, tenant improvement allowances, signage rights, and phased expansion options. For a hospitality-led flex concept, occupancy cost discipline is what creates room for staffing, events, technology, and service quality.
16. Execution Priorities
Bundle accessible, free parking into premium office and team-suite offers to create an immediate advantage over congested downtown alternatives.
Because the closest direct threat is often a polished boutique operator, you must win on office privacy. Use high-STC construction and premium glass systems for legal and financial users.
High-earning local professionals host investor updates, board reviews, and client signings. Reliable 24/7 access can create non-dues revenue that legacy executive suites miss.
Clean design, strong acoustics, reliable AV, easy guest arrival, and visible front-desk service are what allow premium operators to price above commodity suites.
17. The Recommendation, Restated
The completed engagement concluded: conditional GO — advance to pricing and financial testing. The conditions: pricing must land in the evidenced tier (tested in the Market Pricing module), the site-fit factors in Section 15 must hold through lease negotiation, and the occupancy ramp remains calibration-derived — this brief tests whether the market can fill the curve; it never inflates it. What to watch during buildout: the competitive field (re-sweep before opening), the submarket’s absorption trend, and any pricing drift below the anchored tier.
18. What You Receive
A live Flex Demand Intelligence Brief is produced fresh for your address — every demographic figure pulled at block-group resolution for your actual trade area, every competitor verified, every claim provenance-labeled. This sample demonstrates the structure; the live engagement adds the components that require your specific site.
| Component | In This Sample |
|---|---|
| Verdict-first recommendation with confidence rating per evidence pillar | Demonstrated |
| Ring + drive-time catchment demographics, live federal-API pull at block-group level | Demonstrated · live engine |
| Work-from-home economy & business base vs national benchmarks | Demonstrated |
| Market trajectory — population growth, permit pipeline, migration | Live engagement |
| Daytime worker dynamics & the recapture pool (commuter flows) | Live engagement |
| Competitive field, operator-verified, with pricing evidence | Structure demonstrated · verified per engagement |
| Demand sizing (reverse capture math) & risk register | Demonstrated |
| Personas, product mix, site fit, execution priorities | Demonstrated |
| Provenance appendix — every figure’s source trace | Demonstrated |
The occupancy ramp in the Flex Space Pro Forma comes from calibrated operating benchmarks. Demand Intelligence exists to test whether this market can fill that curve, not to inflate it. Where the catchment is thinner than the benchmark assumes, the study says so and the model is stressed downward, never the reverse.
Flex Demand Intelligence Brief · Sample v3 · © 2026 CoworkingConsulting.com LLC