Evidence lives in different places.
Property notes, business inventories, cultural insights and local knowledge rarely arrive as one decision-ready brief.
MAIN STREET DECISION SYSTEM FIELD NOTE 001
No lease on a hunch.
Test it first.
VacancyLab helps downtown teams and independent landlords turn cultural signals into small, measurable storefront pilots—before making a long-term commitment.
✓No invented demand forecasts.Evidence before commitment.
BLOCK STUDY / 01 CONCEPTUAL SITE PLAN
Candidate unit Existing inventorySCHEMATIC · NOT GEOGRAPHIC DATA
THE QUESTIONWhat could work
here—and why?
here—and why?
Investigate → Test → Decide
VL / 001 DECISION INTELLIGENCE FOR MAIN STREET
01 THE PROBLEM
The permanent decision often arrives before the evidence.
Choosing what belongs in an empty unit is rarely just a leasing question. Local teams must compare business ideas, incomplete directories, space requirements, operating constraints and neighbourhood character—often before anyone has tested what people will respond to.
Existing location tools can help shortlist tenants. VacancyLab focuses on the uncertain step that follows: how to turn a plausible idea into a small test with a defined budget, measurable signal and stopping rule.
A good story is not demand.
A cultural connection can suggest what to investigate. It cannot prove that a concept will attract customers or make money.
Commitments can outlast assumptions.
Without a clear test, teams may move from an interesting idea to a permanent decision without learning enough first.
BUILT FORMain Street organisationsDowntown development teamsIndependent commercial landlords
02 WHO IT HELPS
For the people who have to make the call.
VacancyLab is designed for small teams making real place-based decisions without assuming they have enterprise property data or a budget for a long research cycle.
FIELD USER / 01▤
Main Street and downtown teams
Coordinate storefront activation, support local commerce and give property owners a specific, evidence-informed pilot brief to review.
USEFUL OUTPUTA repeatable way to frame and compare activation tests.
FIELD USER / 02⌂
Independent commercial landlords
Explore temporary concepts against the unit's area, facilities, budget and timing before investing in a longer commitment.
USEFUL OUTPUTA bounded test plan with prerequisites and a stop rule.
FIELD USER / 03↗
Local business and activation partners
Give makers, pop-up operators and community partners a clear hypothesis, measurement plan and record of what the pilot actually showed.
USEFUL OUTPUTAn outcome log that supports the next decision.
!
What VacancyLab is not: a tenant-success predictor, a verified commercial property directory or legal/zoning advice. It makes uncertainty explicit and helps teams structure a test.
THE VACANCYLAB APPROACH / 02Don't ask AI to predict a winner.
Don't ask AI to predict a winner.
Give people a way to test a hypothesis.
VacancyLab combines user-provided site constraints and business inventory with relevant Qloo cultural signals—then turns the supported evidence into a bounded pop-up experiment and a record of what happened.
AFFINITY ≠ DEMAND
TEST BEFORE COMMITMENT
TEST BEFORE COMMITMENT
03 THE METHOD
From local signals
to field evidence.
A sequential workflow. Every step has a job, a source and a limit. Select a stage to see what the system actually does.
STAGE 01 / INTAKE
Define the space before choosing the concept.
The user supplies a city and district signal, floor area, available pilot budget, time window, known facilities, constraints and the coverage level of their business inventory.
OUTPUTA constrained opportunity brief—not a guessed property profile.
Ask Qloo a cultural question the workflow can use.
Resolve a relevant concept tag, request supported location-scoped cultural evidence and record the returned data. Empty results or unmatched entities stay visibly empty; they are not replaced with invented recommendations.
OUTPUTA traceable cultural signal, with coverage limits attached.
Make the next step small enough to learn from.
Generate a pilot hypothesis with an explicit spending cap, a measured outcome, prerequisite checks and a stopping rule. Feasibility logic checks constraints before the plan is presented.
OUTPUTA pilot brief the district team can review and act on.
Use observed results to inform the next decision.
Record exposure, signal counts and spend for the neutral control and treatment. VacancyLab calculates descriptive rates and checks the pre-set threshold and budget. It does not call that proof of profitability.
OUTPUTA recorded outcome and an explicit next step.
04 INTERACTIVE PREVIEW
See the constraints change the plan.
Try the budget logic using a small illustrative scenario. This preview does not call Qloo or claim market demand; use the full workspace for an actual study.
iPlanning preview only · Values are user inputs, not local cost estimates.
PLANNING CONSOLE / DEMO MODE03 INPUTS
MAX PLANNING ALLOWANCE / CONCEPT$300
$900 split across 3 concepts over 2 weeks. This is a ceiling, not an estimated cost.
05 INSIDE THE WORKSPACE
Four views. One decision trail.
The landing page explains the method. These are the working tools that carry the study from intake to recorded outcome.
VLFIELD STANDARD / 01
06 THE EVIDENCE STANDARD
No signal is not a signal.
Unknown means unknown.
VacancyLab separates Qloo's aggregate cultural outputs, user-supplied inventories, planning assumptions and observed pilot results. A category match is not proof of a physical storefront. An affinity is not purchase intent. A threshold met is not proof of profitability.
01Cultural signalsQloo-returned data, with request context
02Supplied inventoryUser data, with coverage declared
03Planning hypothesesProposals to test, not facts
04Observed outcomesCounts entered after a real pilot
07 TAKE THE NEXT STEPMake the next decision
Make the next decision
measurable.
Bring a location, the constraints you know and one idea worth testing.
LOCAL WORKSPACEBETA / 01
✳ CULTURE → COMMERCE → PROOF
Test the neighbourhood
before you sign.
Turn a vacant storefront into a measured opportunity. Explore cultural signals, check the constraints, then run a small pilot before a permanent commitment.
✓ Evidence first. No invented demand forecasts.
STREET STUDY CONCEPT VIEW
Vacant unit Existing inventorySCHEMATIC · NOT GEOGRAPHIC DATA
WORKSPACE / FIELD STUDY
Build your storefront brief.
Set the constraints first. VacancyLab will investigate supported cultural evidence, plan a bounded pilot and keep unknowns visible.
CONCEPTS UNDER REVIEW0 / 3 max
INVENTORY RECORDS0 supplied
PILOT BUDGET CAP$0
ANALYSIS MODEAwaiting brief
01 / DEFINE THE SPACE
Build your storefront brief.
Use a city or neighbourhood name, not a private street address. The tool sends only the location signal and selected concept terms to Qloo.
02 / OPPORTUNITY BOARD
Opportunity evidence. One measured next step.
Each card separates the evidence we have from the assumptions that still need testing.
✳
Your opportunity board is waiting.
Build a study from the workspace to create constrained pilot plans here.
03 / FIELD TEST & LEARN
Measure the signal you set out to find.
Compare the observed pilot result to your pre-set target and spending cap.
D
Record a pilot outcome
Compare a neutral control with a treatment using measured exposure.
◎
EVIDENCE AFTER ACTION
The next decision starts with observed data.
Record the exposure and signal count for both arms to compare rates rather than raw totals.
01 Set target02 Run comparable test03 Review lift
E
Outcome journal
Saved in this browser only. Export before clearing site data.
No pilot outcomes recorded yet.
04 / PROVENANCE & AGENT TRACE
Show your work.
Every conclusion should point to a source, and every unsupported claim should stay out of the plan.
Evidence discipline is built into the workflow.
Qloo aggregate affinity, inventory from the user, planning assumptions and observed pilot results are separate evidence types. A missing Qloo result is reported as missing; it is never replaced with an invented signal.
FNOT RUN
Agent execution trace
Ordered steps, tool status and decision rationale for the latest analysis.
Run a study to view the live execution trace.
G0 results
Cultural evidence ledger
Qloo-returned tags and entities; results are not verified local storefronts.
No Qloo evidence loaded. Configure the server credential and run an analysis.
H
Decision method & known limits
How VacancyLab interprets its available evidence.
01
Supply signal
Counts category matches in the inventory file supplied by the user. A zero only indicates a gap if the inventory is current and marked district-wide.
02
Cultural signal
Shows validated tags/entities returned by Qloo for a concept tag and location signal. It does not prove local physical availability, demand or purchases.
03
Experiment design
Creates a test hypothesis, measurement, spending cap, requirements checklist and stopping rule. The budget is allocated from user input, not estimated market prices.
04
Outcome review
Compares actual numbers to a threshold selected by the user. Passing the threshold means that signal was met; it does not prove profitability.