Guide Feedback

Feedback and Bug Reporting

Scholarly makes it easy to share feedback on AI-generated content and report issues you encounter. Your input directly helps improve the quality of the platform.

Giving Feedback on AI Content

When viewing AI-generated content like video lectures or podcasts, you can rate and give feedback directly from the content page.

  • Thumbs up / Thumbs down -- Quick rating to tell us if the output was helpful.
  • Written feedback -- Add a short note explaining what was good or what could be improved.

Feedback is available on:

  • AI Chat answers
  • AI Video Lectures
  • AI Podcasts
  • Deep Research reports
  • Pages and notes
  • Study session results (after finishing a flashcard session)
  • Exam results (after finishing a graded exam)

On exam results, quick presets make it one tap to flag common problems: Questions unfair, Too difficult, Explanations unclear, or Too repetitive.

This helps the AI improve over time and helps the team prioritize quality fixes.

Rating a Chat Answer

Every assistant answer in AI Chat has thumbs up and thumbs down at the left of its message actions. Your rating is saved with that message, and tapping the one you already picked clears it. Ratings tell us which answers are worth studying when we tune chat — they do not change the conversation.

Telling Chat About a Problem

If you tell AI Chat about a bug, a rough edge, or something you wish Scholarly did, it asks before passing that along. Only when you say yes does it send the note to the team, and a small Feedback noted card shows you exactly what was shared.

Reporting Bugs

Click the Report Bug button in the top navigation bar to report issues you find. Describe what happened, what you expected, and any steps to reproduce the problem.

You can also reach the team directly at hello@scholarly.so.

Help Articles

At the bottom of any help article you can say whether it was useful. If it was not, you can optionally tell us why — missing information, out of date, or hard to follow — which is what we use to decide which guides get rewritten first.

Flashcard Quality Reporting

When studying flashcards, you can report low-quality cards using the built-in issue presets. Open the card editor and use the report option to flag:

  • Cards are unclear
  • Answers are wrong
  • Too easy
  • Too hard
  • Missing information

Reported cards are reviewed and used to improve AI flashcard generation.

What Happens After You Report

Bug reports and feedback go straight to the product team and shape what gets fixed and built next. If your issue needs a reply — a billing problem, lost content, or anything blocking you — email hello@scholarly.so so the team can follow up with you directly.

Tips

  • The more specific your feedback, the more useful it is. "The answer on card 3 is wrong" is more helpful than "bad cards."
  • Bug reports with steps to reproduce are resolved faster.
  • Feedback on video lectures and podcasts helps improve narration, pacing, and accuracy.
Was this helpful?
PreviousDelete & RestoreNextShortcuts