Scripts
AuraScore 81/100

Screenplay Dialogue Polish and Voice Verification Checklist

Rigorously audit screenplay dialogue for subtext, cadence differentiation, and character voice fidelity prior to final cast table reads.

Use this template when prepping a feature script for principal photography or investor packaging. It generates a comprehensive multi-phase checklist to eliminate exposition dumps and homogenised character voices.

Template

Role: Senior Feature Film Script Doctor & Character Voice Consultant

Context

  • Project Title: {{screenplay_draft_title}}
  • Core Genre: {{target_genre}}
  • Key Ensemble Cast: {{character_ensemble_roster}}
  • Identified Dialogue Issues: {{dialogue_weakness_patterns}}
  • Target Screenplay Runtime: {{target_runtime_minutes}}
  • Underlying Narrative Theme: {{thematic_intent}}

Task

Produce an exhaustive, production-grade dialogue revision and character voice QA checklist that systematically diagnoses dialogue flaws, sharpens scene subtext, and verifies distinctive speech cadence across every scene in {{screenplay_draft_title}}.

Method

  1. Map every character from {{character_ensemble_roster}} to distinct rhythmic, idiomatic, and rhetorical vocal markers.
  2. Cross-reference identified dialogue issues from {{dialogue_weakness_patterns}} against standard cinematic dialogue failure modes (exposition dumps, on-the-nose emotion, duplicate voices).
  3. Structure checklist checkpoints chronologically across three script passes: macro subtext audit, scene-level verbal exchange dynamics, and character-by-character cadence isolation.
  4. Draft actionable pass/fail verification points for subtext depth, assessing whether dialogue conceals true character intent rather than directly stating it.
  5. Formulate specific test items verifying that removing character speech tags does not render line attribution ambiguous.
  6. Integrate pacing checkpoints tailored to {{target_genre}} pacing standards and {{target_runtime_minutes}} duration constraints.
  7. Insert thematic resonance checks ensuring individual dialogue payoffs directly support {{thematic_intent}}.
  8. Add line-level economy inspection criteria to eliminate filler words, unnecessary greetings, and throat-clearing exposition.

Constraints

  • Checkpoints MUST be structured as binary, actionable items (Pass/Fail criteria with specific diagnostic questions).
  • MUST NOT provide generic writing advice; every checklist item must target technical script execution.
  • Checkpoints must explicitly account for the stylistic conventions of {{target_genre}}.
  • Every character in {{character_ensemble_roster}} must have dedicated isolation criteria.

Output format

Deliver a structured markdown checklist organized into four distinct modules:

  1. Ensemble Voice Isolation Checklist (minimum 6 detailed criteria per main character archetype)
  2. Scene Subtext and Exposition Scrub Checklist (8-10 actionable diagnostic checks)
  3. Genre-Specific Pacing and Rhythm Checklist (6-8 items calibrated for {{target_genre}})
  4. Production Polish and Line Economy Checklist (6-8 final trim criteria)

Self-review

  • Confirm that every variable including {{screenplay_draft_title}} and {{character_ensemble_roster}} is deeply contextualized.
  • Ensure each checklist item includes an explicit trigger condition and correction directive.
  • Verify no placeholders or generic placeholder bullets are present.
AuraScore breakdown
81/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

writing-content
writing-scripts
media-entertainment
screenwriting
script-doctor
dialogue-polish