Submit Feedback
Two ways to bring reviewer feedback into the workspace
Choose the path that matches how the feedback exists today. Either way, Learning Ally reviewers never have to classify anything technical — AI-assisted suggestions wait for a human to confirm before work is created.
Recommended for the current pilot
Import feedback document
Paste a Google Doc URL, or upload a DOCX / PDF. AI organizes the document into discrete, title/version-linked items for a Learning Ally lead or Adaptive Reader QA lead to review.
- Original document remains the source record
- Every extracted item keeps the exact reviewer excerpt
- Nothing is committed automatically — humans approve items
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For a single observation
Enter feedback directly
A short form for one observation on one title and version. AI-assisted classification is proposed after submission and waits for your confirmation before routing.
- Fastest path for a single observation
- AI suggests routing; you confirm before it becomes work
- Prefills when you start from a title page
Get started →
Recent imports
Prototype data · linked to the two source Google Docs
Google Doc · imported Jul 22, 2026 · 09:14
Adaptive Reader All Titles — Feedback
Tab: Bluebonnet Learning Grado 5 Matemáticas Módulo 5: Aprender
12 extracted items · imported by M. Alvarez (Learning Ally)
Continue review →Ready to review
Google Doc · imported Jul 22, 2026 · 10:02
Learning Ally feedback
Tab: Finding My Dance
11 extracted items · imported by M. Alvarez (Learning Ally)
Continue review →Ready to review
Future review tools · roadmap, not available now
Learning Ally Reader browser extension
A future companion for reviewers working inside the Learning Ally Reader.
- Capture title, version, and page automatically
- Highlight or annotate a passage while reading
- Attach a screenshot and current playback timestamp
- Send observations directly into this triage queue