AI tools that help higher education teams turn feedback, information, and routine work into meaningful action.
Discover common themes, review the evidence, and decide what happens next.
Start with a fictional set of student comments. Explore patterns, inspect the evidence, and create an action plan—right here.
Across this fictional sample, students praise practical examples and helpful teaching. Recurring requests focus on clearer expectations, more timely feedback, and easier access to career guidance. Always review source comments before sharing.
“The examples were useful, but the assessment rubric could be clearer.”
Turn insights into a reviewable next step. Actions below are sample suggestions, not real assignments.
Schools already have surveys, research, course materials, and helpful people. But finding the signal often means chasing files, reconciling exports, and redoing work.
Find a simpler way ↗Explore seven complementary tools for student feedback, research, course operations, institutional knowledge, and career support.
Turn student feedback into decisions that matter. Standardize survey exports, discover recurring themes, review the evidence, and prepare reports with people in control.
A grounded search experience for research, courses, faculty, events, and institutional resources.
Guide students and alumni to the right resources, advisers, and next steps without replacing human guidance.
Help communications teams surface research themes and create grounded editorial briefs and story ideas.
Classify papers and teaching cases against your own frameworks with confidence indicators and review workflows.
Compare peer-school curricula, track meaningful changes, and support curriculum planning with sourced evidence.
Check course materials against institutional guidelines, surface gaps, and guide teams through readiness reviews.
Solutions are presented as a connected portfolio. Deployment scope and supported integrations are confirmed with each institution.
A considered process built around institutional context, the right workflows, and review by the people who know them best.
Bring in the right content or survey export. Keep the source visible, so insights can be checked against actual records.
FeedbackAI example: a sample survey exportSet the programmes, categories, rules, and workflows that reflect how your institution operates.
Institution-specific configuration is the platform goalInspect supporting evidence, validate outputs, and decide what to approve or share with your team.
Not automatic publicationHigher education teams work with important information. Our product approach puts grounded outputs, controlled access, and human review at the center.
FeedbackAI's workflow separates computed metrics from AI-assisted text theming, and routes drafts through review before export. It is designed to help staff assess the evidence, not replace judgment.
Earlier project implementations use role-based access, redacted logs, and restrictions on identifiable data entering feedback analytics. Policies and data processing terms are deployment-specific; no certification is implied.
Relevant custom-project workflows have used survey exports, Microsoft Entra ID, Canvas, and content sources. A reusable multi-school connector layer is part of the platform roadmap; confirm connectors for each pilot.
Where applicable, workflows should connect findings to source material, keep deterministic measurements separate from generated text, and make uncertainties visible to reviewers.
We care about measurable improvements. These are the outcomes we propose to evaluate with pilot partners.
Compare effort from survey export to draft report, including the time required for staff review and corrections.
Check quantitative accuracy, theme consistency, and how easily reviewers can trace conclusions back to comments.
Observe whether recurring issues lead to clearer owners, documented decisions, and timely next steps.
Explore FeedbackAI in an interactive sample environment, or discuss a Termways solution for your institution.