Every score fully traceable to its source
A scoring platform built for people who care about methodology. Every composite score traces through pillars, components, raw values, and data sources — with configurable weights, score ranges, and full export capabilities.
Pulling program market data requires stitching together IPEDS, BLS, and vendor exports in spreadsheets
Ad-hoc scoring models break when methodology changes or new data sources are added
No version control for scoring configurations makes it impossible to reproduce past analyses
What matters to you
The methodology under the hood
We built the scoring engine IR teams would build themselves — then made it configurable and fully auditable.
Full Score Traceability
Every score decomposes: composite → pillar average → weighted components → score range lookup → raw value → data source and ingestion date. No black boxes.
- Click any score to drill through the full chain
- Score ranges show exact 1-5 mapping logic
- Weight sets show component contributions
- Data provenance with source and date
Configurable Scoring Engine
Versioned weight sets and score range configurations let you model different methodologies without losing prior analyses. Compare runs across configurations.
- Versioned weight sets per pillar
- Configurable score ranges (1-5 breakpoints)
- Market, Occupation, Search pillar weights
- Run-over-run comparison with different configs
Five Integrated Data Sources
IPEDS, Lightcast, BLS, SemRush, and Meltwater data flows into a unified schema with automated ingestion, validation, and derived field calculation.
- IPEDS: automated NCES API import
- Lightcast: job openings, salary, postings via CIP→SOC crosswalk
- SemRush: live keyword volume API
- Meltwater: social mention volume and sentiment
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Data Sources
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Data Points
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Traceable
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Scoring Pillars
Platform capabilities
Built for your workflow
Every feature designed to support how Institutional Research make program decisions.
Interactive Scoring Matrix
Sortable by any metric. Filter by CIP prefix, degree level, or modality. Expand any row to see the full traceability chain inline.
Statistical Outlier Detection
IQR-based outlier flagging across all metrics. Severity classification (moderate vs. extreme) with exportable outlier reports.
Run-Over-Run Trends
Track score movement across matrix runs. Identify programs with improving or declining scores before leadership asks.
Export Everything
Export matrix data, traceability details, outlier reports, and per-program PDF profiles. Every report your provost will ask you for.
AI-Powered Analysis
Natural language queries against your matrix data. Get SQL-backed answers with auto-generated charts — no query writing required.
Executive Dashboards
Score distributions, demand-supply quadrants, component breakdowns — visualizations you can hand to leadership without reformatting.