Platform
One evidence base. Thirteen ways in.
Every module is a question somebody in your organization already gets asked. The difference is that here the answer arrives resolved to your region, dated and ready to cite — and anything modeled says so.
All platform modules
Labor Market Overview
How is this region doing right now, and where is it heading?
Industry Data & Trends
Which industries are here, how concentrated, growing or shrinking?
Occupational Data & Demand
Who works here, what they earn, and what is projected.
Similar Occupations
What work is closest on skill profile, what it pays, where the gap is.
Academic Program Data
What is being produced by program, award level, institution and geography.
Talent Supply Pipeline
Completions against modeled annual openings, by program family.
Pipeline Diversity
Who completes each program, against the resident population and who is hired.
Wage Benchmarking
Full wage distribution, indexed against the nation and peer areas.
Workforce Demographics
Age, race and ethnicity, attainment, commuting, class of worker, turnover.
Commuting & Dynamics
Where workers come from, hires, separations and turnover rates.
Regional Comparison
Any set of areas across a dozen standard metrics, side by side.
Narrative Reporting
A written, sourced report you can hand to a committee.
Data & Methods
The vintage and method behind every figure, on one screen.
Depth, not breadth theatre
The analysis a workforce analyst would run by hand.
These are standard regional-economics methods, implemented properly and shown transparently — not proprietary indices whose construction nobody will disclose.
Similarity on standardized skill, knowledge and activity profiles. Why standardizing matters →
Location quotient and shift-share
Concentration relative to the nation, and five-year regional change decomposed into national growth, industry mix and a competitive residual — so you can tell a rising tide from genuine local advantage. Filterable by NAICS level, year, quarter and ownership sector.
Full wage distributions
Not just a median. The 10th through 90th percentile, indexed against the national distribution and against peer areas you choose, with entry-level and experienced wages separated.
Supply and demand, reconciled
Annual completions by CIP family against modeled annual openings for the occupations that family feeds — with the crosswalk's many-to-many inflation corrected, and demand defaulted to occupations whose typical entry route is actually a postsecondary award.
Pipeline diversity, benchmarked twice
Who completes each program, measured against the resident population and against who is actually being hired into the occupations it feeds. Two different questions, and the gap between them is usually the interesting one.
Working with it
Built to be used by more than one person.
Narrative reports
A written, sourced report on a region, an occupation or a program — generated from the same data, exported to Word, and editable into a board packet. Source notes travel with it.
Export everything
CSV on every table. Vector charts that print sharp at any size and inherit light or dark theme. Nothing is locked inside the interface.
Regional comparison
Any set of areas across a dozen standard metrics side by side — your service area against the state, the nation, or the three peer regions your board keeps mentioning.
Refreshed automatically
Current labor market series nightly, employment and wage panels weekly, reference layers monthly. Every figure shows its vintage, so you know how fresh it is before you cite it.
No per-seat tax
One subscription covers your whole organization. Researchers, deans, planners, analysts and grant writers can all use it without a licensing conversation each time.
Custom service areas
Counties, metros, micropolitan areas, CSAs — or a custom set of counties that matches your actual service district rather than a statistical boundary that does not.
Validation
Checked against independent authorities.
Twenty-six automated checks compare the figures the platform serves against independent published totals. Any check that allows a tolerance says why, and anything modeled is labeled as modeled — so what you cite is what you think it is.
See it against your own region
A 30-minute walkthrough using your service area, your programs and your CIP codes — not a canned demo dataset.