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Prompt Details

Model
(gemini-3.7-flash)
Token size
3,231
Example input
[DATA]: Target: Urban Brew Coffee Objective: Identify customer pain points, emerging issues, reputation risks, and business opportunities. Time period: Last 30 days Location: Bangkok Customer feedback: "The coffee tastes excellent, but I waited almost 25 minutes." "Friendly employees, but prices have increased." "The drinks are good, but parking is difficult." "I would like more low-sugar drink options." "Great coffee and service, but the lunch-hour queue is too long." "The mobile ordering process is convenient." "I stopped visiting as often because prices are getting expensive." "Staff are friendly even when the store is crowded."
Example output
1. EXECUTIVE SUMMARY 1. Waiting time is the strongest recurring customer pain point, particularly during busy periods. 2. Product quality and staff service receive consistently positive feedback. 3. Price sensitivity is emerging as a potential retention risk. 4. Parking difficulty creates additional friction in the customer experience. 5. Demand for low-sugar options represents a possible product opportunity. 2. OVERALL STATUS WATCH The available feedback indicates strong product satisfaction but recurring operational and pricing concerns that should be monitored. 3. TOP SIGNALS Signal: Long waiting times Direction: RISING Importance Score: 82/100 Evidence: Multiple comments mention long queues and waiting periods. Why It Matters: Excessive waiting may reduce repeat visits. Confidence: High Signal: Price sensitivity Direction: RISING Importance Score: 76/100 Evidence: Customers mention increased prices and reduced visit frequency. Why It Matters: Pricing may be beginning to affect customer retention. Confidence: Medium Signal: Positive service perception Direction: STABLE Importance Score: 68/100 Evidence: Multiple customers describe staff as friendly. Confidence: High 4. TOP TOPICS Waiting time Pricing Product quality Customer service Parking Low-sugar options Mobile ordering 5. SENTIMENT & INTENT Overall sentiment: MIXED-POSITIVE Positive drivers: Product quality, friendly staff, convenient mobile ordering. Negative drivers: Waiting time, increasing prices, and parking difficulty. Potential unmet need: More low-sugar beverage options. 6. RISK RADAR HIGH: Waiting-time dissatisfaction MEDIUM: Price sensitivity MEDIUM: Customer retention pressure LOW: Parking inconvenience 7. OPPORTUNITY RADAR High-value opportunity: Improve peak-hour ordering and queue management. Product opportunity: Test additional low-sugar drink options. Retention opportunity: Evaluate value bundles or loyalty incentives for price-sensitive customers. 8. INFORMATION GAPS The dataset is small and does not provide historical sales, transaction volume, or representative customer sampling. Trend conclusions should therefore be treated cautiously. 9. WHAT TO WATCH NEXT Waiting-time complaints Price-related complaints Repeat-visit intent Low-sugar product requests Mobile-ordering satisfaction 10. RECOMMENDED ACTIONS IMMEDIATE: Investigate peak-hour waiting times. NEXT: Evaluate low-sugar product demand and customer price sensitivity. MONITOR: Track whether waiting-time and pricing complaints increase.
♊️ Gemini

Intelligence Analyst Trend Radar

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GEMINI-3.7-FLASH
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Turn raw information into actionable intelligence. This advanced AI prompt analyzes news, social media posts, reviews, comments, reports, and transcripts to detect key signals, emerging trends, sentiment, narratives, risks, opportunities, entities, locations, and unverified claims. It delivers structured insights, confidence levels, executive summaries, and recommended actions—perfect for researchers, marketers, analysts, business owners, and social listening professionals.
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