Opportunity MatrixScore and prioritize program opportunities with confidence
Combine market demand, occupation projections, search trends, and social sentiment into a single, actionable scoring matrix for higher education program strategy.
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Data Sources
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Scoring Pillars
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Data Points
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Score Traceability
Methodology
Four pillars of insight
Each program is scored across four data-driven dimensions, then combined into a composite opportunity score.
Market Demand
National conferral volumes, growth trends, and competitive landscape analysis.
- Conferral size & growth direction
- Total & online competitor counts
- Source: IPEDS
Occupation Outlook
Employment projections and job posting activity for related occupations.
- Annual job posting volumes
- 10-year projected job growth
- Source: Lightcast & BLS
Search Volume
Keyword search interest as a proxy for prospective student demand.
- Auto-generated keyword variations
- Global & US search volumes
- Source: SemRush
Social Sentiment
Public conversation volume and sentiment around each program area.
- Social mention volume
- Sentiment percentage
- Source: Meltwater
Data Inputs
Five data sources. One integrated score.
Every metric traces back to a specific data point from a trusted source — so you know exactly why a program scored the way it did.
IPEDS
National Center for Education Statistics
National conferrals and the competitive program landscape for every CIP code.
Data Points
- Conferrals by CIP, year, and award level
- Total competitor institution counts
- Distance-education competitor counts
- Distance vs. non-distance conferral split
- 5-year growth direction & CAGR
Ingestion: Automated NCES API import
Lightcast
Labor market analytics
Real-time labor market signal by CIP → SOC occupation crosswalk.
Data Points
- Total jobs in related occupations
- Annual job openings
- Unique job postings (12-month)
- 10-year projected growth
- Median salary
Ingestion: CSV upload (API roadmap Q3)
BLS
U.S. Bureau of Labor Statistics
Official workforce projections for context alongside Lightcast signals.
Data Points
- BLS 10-year projected job growth %
- National employment baselines
Ingestion: CSV upload
SemRush
Search & keyword intelligence
Prospective-student demand via organic search interest across markets.
Data Points
- US monthly keyword search volume (75%)
- Global monthly search volume (25%)
- ~10 auto-generated keyword variations per program
- Highest-volume keyword auto-selected
- Manual keyword overrides per tenant
Ingestion: Live API integration
Meltwater
Social & media listening
Public conversation volume and sentiment around each program area.
Data Points
- Mention volume over 30-day window
- Positive / neutral / negative sentiment %
- Mention trend direction
- Cached per program for 30 days
Ingestion: Live API integration
20+ distinct data points flow into the opportunity score, with full traceability from composite score → pillar → component → raw value → source. Click any score in the matrix to drill through the full chain.
Workflow
How it works
From data ingestion to actionable recommendations in three steps.
Configure Programs
Select CIP codes for your institution, choose scoring and weight configurations, and create a matrix run. Paste programs directly from Excel or select from IPEDS offerings.
Auto-Populate Data
One click pulls data from all five sources — IPEDS, BLS, Lightcast, SemRush, and Meltwater. Scores are calculated automatically using configurable weights and score ranges.
Analyze & Act
Explore the interactive matrix, review executive charts, investigate outliers, and use AI chat to surface insights — all with full score traceability.
Your Role
Built for how you work
Different stakeholders need different views. See how the Opportunity Matrix speaks your language.
Platform
Built for higher ed strategy
Every feature designed for institutional program portfolio decisions.
Interactive Scoring Matrix
Sortable, filterable table with 1-5 scores across all pillars. Filter by CIP prefix, degree level, or online modality. Expand any row for full traceability.
Executive Dashboard
Score distributions, demand-supply quadrant, top programs chart, component breakdowns, and trend-over-time analysis across runs.
AI-Powered Chat
Ask natural language questions about your matrix data. Get SQL-backed answers with auto-generated charts, summaries, and actionable highlights.
Full Score Traceability
Click any score to see raw values, score ranges, weights applied, and the data source. Export traceability reports for stakeholder review.
Outlier Detection
IQR-based statistical outlier flagging across all metrics. Severity classification (moderate vs. extreme) with exportable outlier reports.
AI Insights
One-click AI analysis generates strategic recommendations, identifies top opportunities, and highlights risk areas across your program portfolio.
Five Automated Data Sources
IPEDS completions, BLS projections, Lightcast job postings, SemRush keyword volumes, and Meltwater social listening — all auto-populated.
Configurable Scoring
Custom score ranges per metric, adjustable pillar weights, and versioned scoring configurations. Compare runs across different weight scenarios.
Export & Reporting
Export matrix data, traceability details, and outlier reports. Share results with stakeholders who need offline access.
Smart Keyword Selection
Auto-generates ~10 keyword variations per program, selects the highest-volume keyword, and supports per-tenant and per-matrix overrides.
Run-Over-Run Trends
Track how program scores change across matrix runs. Spot improving or declining programs before trends become obvious.
Multi-Tenant Architecture
Each partner institution gets isolated data, configurable programs, and dedicated matrix runs. Role-based access controls for admins and users.