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Catch at-risk courses in time
Outcometrics turns your LMS data into a course design quality index, term after term, so your academic quality team knows whe
Outcometrics turns your LMS data into a course design quality index, term after term, so your academic quality team knows whe
For higher education institutions that need evidence — not just intuition — of where their greatest instructional design risk lies, course by course.

Combines a recognized industry quality framework with your institution's own pedagogical model to score every course, every academic term.

Connects to Canvas to read real terms and courses automatically — no manual uploads, no spreadsheets.

Sorts every course into clear bands — compliant, needs intervention, needs redesign — so priority is obvious, not just another data sheet.

Outcometrics' design index is built on frameworks already used and studied across the sector — we didn't invent the yardstick.
Course design quality rubric adopted by the Online Learning Consortium.
The same "closing the loop" principle between measurement and intervention required by AACSB accreditation.
Data and context, not just data — with governance and ethical use of academic information built in by design.
Most learning analytics tools stop at the dashboard: engagement charts, risk scores, attendance heatmaps. Outcometrics goes one layer deeper. Every course, cohort, or training module gets a design quality score — built on established course-design standards and constructive-alignment principles (the same logic behind frameworks like OSCQR and Assurance of Learning) — paired with performance analytics by academic period, so instructors and program leads see not just who is struggling, but where the course design itself is creating the gap.
Instead of two disconnected systems — one that grades people, one that reviews course structure — Outcometrics unifies them into a single engine. That means an underperforming module doesn't just get flagged; it gets connected to the specific design elements (alignment between objectives, activities, and assessment; interaction design; problem-based structure) most likely responsible, so the next intervention targets the actual cause instead of the symptom.
Benchmarked against recognized course-quality standards — not a black-box score.
So you can see whether a redesign, a new instructor, or a curriculum change actually moved the needle — not just whether this term looked different from last term.
Academic leadership gets institutional/program-level rollups, instructors get course-level diagnostics, and learners get a clear read on their own progress.
Findings connect back to concrete design recommendations, following the "closing the loop" principle that learning analytics and accreditation research consistently identifies as the step most programs skip.
Already in place at most institutions (AACSB Assurance of Learning, program review, curriculum mapping) — this is designed to feed that work, not duplicate it.