This prompt is built for Stage 1: Diagnose Objective and Constraints and focuses on diagnostic-grade decisions instead of generic brainstorming. It is tuned for dms, content, audience outcomes and returns structured outputs with explicit sequencing, constraints, and measurable checkpoints aligned to Use Audience Question Cluster Mapping Engine to drive execution.. Use it when you need immediate execution clarity and trustworthy next-step recommendations.
Use when you are running idea audience question mining workflow and need a high-confidence diagnostic output for stage 1: diagnose objective and constraints with practical detail across dms and content.
| Variable | Description |
|---|---|
{{channel_datasets}} | Question data grouped by channel |
{{source_reliability_assumptions}} | Initial confidence assumptions for each source |
{{audience_segments}} | Segments represented across channels |
{{strategic_goals}} | Goals this unified map should support |
Variable Inputs
Enter values, then click Apply Values.
Question data grouped by channel
Initial confidence assumptions for each source
Segments represented across channels
Goals this unified map should support
All variables have values and are ready to apply.
Prompt Preview
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 Objective and Constraints and produce a decision-ready deliverable that can be executed this week for Multi Source Question Signal Fusion Architect Strategy. Primary domain signals: dms, content, audience. Inputs: - channel datasets: {{channel_datasets}} - source reliability assumptions: {{source_reliability_assumptions}} - audience segments: {{audience_segments}} - strategic goals: {{strategic_goals}} 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 Multi Source Question Signal Fusion Architect Strategy 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) Audit current dms performance from {{channel_datasets}} against {{source_reliability_assumptions}}. 2) Return a scored gap table with evidence notes. 3) Prioritize top 3 corrective actions linked to {{audience_segments}}. 4) Define thresholds, owner, and review cadence. 5) Include rollback criteria for each high-risk recommendation. 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: - Audit Snapshot - Gap Table - Corrective Actions - KPI Thresholds - Rollback Rules 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: 7b7455be-a5f6-45ba-9f7a-74706a5cf734 · do not redistribute -->
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Stage 1: Diagnose Objective and Constraints Audit Snapshot