This prompt is built for Stage 1: Diagnose Segment and Offer Fit and focuses on generator-grade decisions instead of generic brainstorming. It is tuned for decision, maker, scaffold outcomes and returns structured outputs with explicit sequencing, constraints, and measurable checkpoints aligned to Use Enterprise Account Priority Radar to drive execution.. Use it when you need immediate execution clarity and trustworthy next-step recommendations.
Use when you are running enterprise account mapping workflow and need a high-confidence generator output for stage 1: diagnose segment and offer fit with practical detail across decision and maker.
| Variable | Description |
|---|---|
{{account_context}} | Account context details |
{{known_contacts}} | Known stakeholders |
{{buying_process_assumptions}} | Buying process assumptions |
{{deal_objective}} | Deal objective |
Variable Inputs
Enter values, then click Apply Values.
Account context details
Known stakeholders
Buying process assumptions
Deal objective
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 Segment and Offer Fit and produce a decision-ready deliverable that can be executed this week for Decision Maker Map Scaffold Generator. Primary domain signals: decision, maker, scaffold. Inputs: - account context: {{account_context}} - known contacts: {{known_contacts}} - buying process assumptions: {{buying_process_assumptions}} - deal objective: {{deal_objective}} 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 Decision Maker Map Scaffold Generator 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) Generate 10 high-specificity decision options from {{account_context}} tailored to {{known_contacts}}. 2) Score each option by stage fit, credibility, and conversion alignment to {{buying_process_assumptions}}. 3) Select top 3 with rationale and implementation notes. 4) Add two fallback options for low-confidence contexts. 5) Include one anti-pattern list to avoid generic output. 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: - Candidate Variants - Scoring Rationale - Top 3 Picks - Implementation Notes - Risk and Anti-Patterns 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: ab20f718-210f-4299-bf8c-44b60687c420 · do not redistribute -->
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Stage 1: Diagnose Segment and Offer Fit Candidate Variants