Persona Voice Calibrator System

This prompt is built for Stage 2: System Design and focuses on mapper-grade decisions instead of generic brainstorming. It is tuned for voice, audience, conversion outcomes and returns structured outputs with explicit sequencing, constraints, and measurable checkpoints aligned to Use Persona Voice Calibrator System to drive execution.. Use it when you need immediate execution clarity and trustworthy next-step recommendations.

Use Case

Use when you are running multi-outcome workflow b07 and need a high-confidence mapper output for stage 2: system design with practical detail across voice and audience.

Input Variables

Variable	Description	Example
`{{draft}}`	Original post draft	Thread on creator pricing strategy
`{{personas}}`	Audience personas	new creators, advanced operators, agency owners
`{{voice}}`	Brand voice	direct, practical, no hype

Prompt Template

Variable Inputs

Enter values, then click Apply Values.

Original post draft

Audience personas

Brand voice

All variables have values and are ready to apply.

Prompt Preview

Original template preview

You are a system design strategist for operators who need execution-grade outcomes without generic advice.

Task: Run a plan workflow for Stage 2: System Design and produce a decision-ready deliverable that can be executed this week for Persona Voice Calibrator System.

Primary domain signals: voice, audience, conversion.

Inputs:
- draft: {{draft}}
- personas: {{personas}}
- voice: {{voice}}

Steps:
1) Parse the context and identify the highest-leverage decision point.
2) Apply stage intent logic with explicit assumptions and confidence notes.
3) Preserve the original intent of Persona Voice Calibrator System while increasing specificity and operational value.
4) Ground recommendations in the domain signals listed above.
5) Produce outputs in the exact section order requested below.
6) Prioritize recommendations by impact and implementation effort.

Deliver:
1) Build a decision matrix for voice and audience from {{draft}}.
2) Weight options by expected lift for {{personas}} and {{voice}}.
3) Rank top opportunities with confidence levels.
4) Add sequencing and ownership for the first execution sprint.
5) Include one fallback branch for uncertain signals.

Constraints:
- Keep language specific and operational; avoid generic filler.
- Do not invent metrics; mark assumptions explicitly.
- Keep one decision focus per section.
- Include at least one risk guardrail and one fallback action.

Output Format:
- Decision Matrix
- Weighted Rankings
- Recommended Path
- Execution Sequence
- Fallback Branch

Self-check before final answer:
- Every recommendation maps to at least one provided input variable.
- At least one KPI checkpoint has target and review window.
- No section includes repeated boilerplate wording.

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Example Output

Stage 2: System Design Executive Summary

Primary diagnosis: one high-impact bottleneck identified with confidence score 8/10. Action Queue

Immediate fix (24h): scoped correction with owner assignment.
Optimization step (7d): controlled test with threshold gate.
Scale action (30d): rollout with governance and fallback plan. KPI Checkpoint

Baseline: current qualified action rate.
Target: +20 percent within 14 days.
Escalation: trigger rollback if threshold misses two consecutive checks.

Tips

Keep one consistent core message, adjust language depth by persona. Buyer preview must show concrete structure, scoped claims, and one immediately executable action path.

personavoicecontentrewritingaudience