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Scoring criteria

Last updated June 10, 2026 · 3 min read

The report is full of scores — this article: where they appear, how to read them, and why they're directional not absolute.

AI Beta Readers "Reader Feedback" tab: per-reader diagnostics — Opening Impact and Character Analysis — each list every reader (Alex, Olivia, Marcus) with their own 0-10 sub-score next to a short comment (illustrative content).

Where scores appear

Location Score
Reader feedback 5 diagnostics Each diagnostic's sub-scores, 0-10 (e.g. Opening appeal's Hook / Positioning; Character analysis's Protagonist / Motivation / Dialogue / Voice)
Each reader In "full reader feedback", every reader scores Opening appeal / Character / Pacing / Overall 0-10
Overview Continue-reading willingness, Recommendation index (0-10); Kindle predicted rating (★, out of 5)

What 0-10 roughly means

Range Rough meaning
8-10 Strong, near submission-ready
6-8 Good, with room to improve
4-6 Mid, several areas to fix
< 4 Major revision needed

Most first drafts land mid-range — normal, not failure.

Why scores are directional

  1. LLM nature: different models / settings can shift the same passage by a few tenths.
  2. Reader choice: strict vs generous readers score differently (the same passage might get 3 from Marcus, 7 from Olivia).
  3. Your category: a "7" in literary fiction isn't a "7" in popular fiction.

Comparing same-book reruns is what matters

Revise and rerun, then see if the score climbs — far more useful than any single absolute number. See: Reading history & revisit

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