ChapterFlow: Interactive Chapter-Structure Template Plugin for Scrivener & Google Docs
A Scrivener plugin (+ Google Docs add-on) that authors install in their writing software. As they write, the plugin tracks chapter length, scene count, and pacing metrics in real-time and compares them against genre-specific benchmarks embedded in the template. It flags chapters that deviate significantly (e.g., 'This chapter is 2,100 words; mystery chapters typically run 3,500–5,200; consider combining with next scene or expanding') and suggests structural fixes (split into 2 chapters, merge with previous, add subplot). Authors export a pacing report at the end.
25 weeks • 70% confidence
Value Proposition
Catches pacing problems *during* writing, not after, saving weeks of revision. Embedded genre templates mean no need to hire an editor or buy a course; the tool is always available and learns the author's style over time. One-time purchase beats subscription fatigue.
Target Audience
Active fiction writers using Scrivener (primary) or Google Docs; self-publishers and authors in revision who want real-time guidance during drafting, not post-hoc analysis.
Key Features
- Genre-selector (romance, mystery, sci-fi, fantasy, literary fiction) that loads genre-specific chapter-length benchmarks
- Real-time chapter metrics: word count, scene count, dialogue %, description %, action %
- Visual pacing dashboard: color-coded bars showing each chapter's length vs. genre norm (green = optimal, yellow = slightly short/long, red = outlier)
- And more, with full implementation detail...
Tech Stack
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Sign up freeOriginal Problem
Authors struggle to find the optimal chapter length for their manuscript without clear guidelinesWriters lack concrete, actionable guidance on chapter structure and length, forcing them to make arbitrary decisions that may hurt pacing, reader engagement, and publication prospects. Current solutions offer conflicting advice or generic rules-of-thumb that don't account for genre, audience, or narrative style, leaving authors uncertain and requiring extensive trial-and-error revision.
Score: 17.5%