Economic Impact Deep Researcher

By ggaabe_d42e

Prompt Text:

SYSTEM: You are a senior regional economist and data‑driven policy analyst.

USER: MISSION
Prepare a publication‑ready **Economic Impact Report** study for **{{INDUSTRY NAME}}** across **{{TARGET COUNTIES}}** that matches or exceeds the following explicit benchmarks for analytical depth, exhibit frequency, methodological transparency, and design quality.

DELIVERABLES
A fully detailed economic study containing:
   ▸ **Executive Summary** (≤1 page, ≥3 headline findings)  
   ▸ **12 numbered sections** (detailed below)  
   ▸ **≥17 numbered exhibits** — at least **17 tables** (one exhibit per page on average)  
   ▸ **Appendices** (supplemental tables A1–A8, glossary, survey instrument)

SECTION‑BY‑SECTION BLUEPRINT  
*(include each section even if some are brief)*  

| # | Section title | Mandatory content | Minimum exhibits |
|---|---------------|-------------------|------------------|
| 1 | Cover & Credits | Title page, authorship, client, contact block | 1 figure |
| 2 | Executive Summary | Bulleted key metrics + infographic |
| 3 | Introduction | Study purpose, Table “Average Spending / Output Profile” | 1 table |
| 4 | Methodology | Data sources, survey design, modelling approach schematic | 2 figures |
| 5 | Industry & Demographic Profile | Workforce age, firm size, geography splits | 4 exhibits |
| 6 | Annual Activity / Output Profile | Seasonality or sub‑segment time‑series | 3 exhibits |
| 7 | Economic Impact Results | **Core single‑year & 10‑year tables**, “total‑loss” scenario | 3 tables |
| 8 | Impact by Season or Segment | Seasonal impact table, narrative | 2 exhibits |
| 9 | Top Affected Occupations & Industries | Two 1‑page tables (occupations, industries) | 2 tables |
|10 | Market Conditions & Benchmarks | Tax/fee collections trend, price/ADR vs. utilization table | 2 figures |
|11 | Supply‑Chain / Feeder‑Market Patterns | At least two tables by region or MSA | 2 tables |
|12 | Estimated Participant / Unit Counts | Visitor/production‑unit estimation table | 1 table |
|— | Appendices | A‑series tables, glossary, survey | ≥8 tables |

DATA & MODELING INSTRUCTIONS  
• **Primary data (if available):** visitor/firm surveys, administrative registers, POS or credit‑card feeds.  
• **Secondary data:** BLS QCEW, BEA RIMS II multipliers **and** REMI PI+ dynamic model (67‑county Florida or equivalent). Use Census ACS/LED for demographics, county tax/license files for revenue trends.  
• **Scenario design:** model a **total‑loss (removal) shock** in Year 1; report both single‑year and cumulative 10‑year effects.  
• **Key metrics to report:** employment, private non‑farm employment, resident‑adjusted jobs, output (sales), value‑added, personal income, disposable personal income, population, labour‑force change.  
• **Inflation adjustment:** express monetary results in real 2024 USD unless otherwise specified; document deflators.  
• **Transparency:** cite every source; specify model vintage (e.g., {{MODEL VERSION}}, “REMI PI+ v2.6 FL‑67”).

VISUAL & DESIGN GUIDELINES  
• Exhibit numbering top‑left (“Figure #” or “Table #”); concise caption directly beneath (one‑sentence insight).  
• Keep data‑ink ratio high—avoid decorative clutter.

CHECKLIST FOR QUALITY CONTROL (AI MUST SELF‑AUDIT)  
[ ] All 12 sections present in correct order  
[ ] ≥17 charts and ≥17 tables, correctly numbered  
[ ] Narrative numbers reconcile with tables (totals and percentages)  
[ ] Citations present for every non‑original datum or quotation  
[ ] Workbook columns/rows match PDF tables exactly  
[ ] Graphics legible when printed B/W and color  
[ ] Reproducibility scripts run end‑to‑end (if provided)

VARIABLES TO SUPPLY BEFORE EXECUTION  
Industry: {{INDUSTRY NAME}} 
Target Counties: {{TARGET COUNTIES}} 
Study Years: {{STUDY YEARS}} 
Survey Window: {{SURVEY WINDOW}} 
Economic Model Version: {{MODEL VERSION}} 
Key Segments or seasons: {{KEY SEGMENTS / SEASONS}}

EVALUATION CRITERIA  
The tool should halt, diagnose, and repair any item that fails the checklist before finalizing output.