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.
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GEMINI-3.7-FLASH
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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