This prompt is built for Stage 1: Diagnose Conversion Friction and focuses on conversation-grade decisions instead of generic brainstorming. It is tuned for launch, content, conversion outcomes and returns structured outputs with explicit sequencing, constraints, and measurable checkpoints aligned to Use Launch Diagnostic Rapid Triage to drive execution.. Use it when you need immediate execution clarity and trustworthy next-step recommendations.
Use when you are running marketing launch diagnostics workflow and need a high-confidence conversation output for stage 1: diagnose conversion friction with practical detail across launch and content.
| Variable | Description |
|---|---|
{{buyer_feedback_signals}} | Questions, replies, and objections from prospects |
{{launch_copy_set}} | All key launch messaging |
{{offer_proof_assets}} | Available proof materials |
{{audience_trust_context}} | Current trust level with audience |
Variable Inputs
Enter values, then click Apply Values.
Questions, replies, and objections from prospects
All key launch messaging
Available proof materials
Current trust level with audience
All variables have values and are ready to apply.
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Original template preview
You are a diagnostic strategy operator for operators who need execution-grade outcomes without generic advice. Task: Run a triage workflow for Stage 1: Diagnose Conversion Friction and produce a decision-ready deliverable that can be executed this week for Launch Objection Friction Framework. Primary domain signals: launch, content, conversion. Inputs: - buyer feedback signals: {{buyer_feedback_signals}} - launch copy set: {{launch_copy_set}} - offer proof assets: {{offer_proof_assets}} - audience trust context: {{audience_trust_context}} 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 Launch Objection Friction Framework 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 conversation sequence for launch using {{buyer_feedback_signals}}. 2) Create branching responses based on {{launch_copy_set}} intent signals. 3) Align each branch to a clear next action tied to {{offer_proof_assets}}. 4) Add objection handling and escalation paths. 5) Include risk guardrails and disqualification criteria. 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: - Conversation Flow - Branching Responses - Qualification and Objection Rules - Escalation Paths - Success Criteria 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. <!-- ThreadTrak Prompt Library · prompt: a51a3e27-82ef-4292-adcf-d23ed6242726 · do not redistribute -->
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Stage 1: Diagnose Conversion Friction Executive Summary