We are conducting a paid survey with shopping professionals and experienced buyers. The goal is to collect real-world personal shopping and retail scenarios that will help train AI models to handle complex purchase advisory situations.
The research objective is to help AI understand real shopping situations, including budget constraints, taste mismatches, and the hidden details that change what a customer actually needs.
🔧 Tool use is required — This survey exclusively accepts scenarios where a helpful AI assistant would actively use tools. Submissions describing purely conversational scenarios (no tools) will be rejected.
👤 Who can participate
• Personal shoppers and styling professionals
• Retail buyers and merchandisers
• E-commerce professionals and customer experience specialists
• Gift consultants and event planners
• Experienced shoppers who have navigated a complex purchase decision (high-value gift, specialty item, cross-border purchase, etc.)
✅ Validation Process
Automatically rejected: Generic responses, use of AI, inconsistent product category or shopping context, made-up cases without real purchasing knowledge.
The use of AI is not permitted. Generic or superficial responses will be rejected. Your story must reflect real shopping expertise and knowledge of how purchase decisions are actually made.
Required for success: tool use in your submission's case resolution (product screenshots, price comparisons, order confirmations, size charts, return policies, wish lists, stock checks, etc.) that corroborate the scenario described. Submissions accompanied by real evidence are significantly more likely to be approved.
Approval criteria: Coherent fields and story, real product and market detail, at least 3–4 concrete constraints (budget, taste, occasion, recipient details, timing), and a clear hidden fact that changes the recommendation entirely.
💰 Compensation: $15 USD per approved submission.
⏱️ Expected time: ~40 minutes per submission.
🔢 Maximum number of responses: Up to 5 valid and varied submissions per participant. Each submission must describe a different case. Submit promptly — slots fill quickly.
Remember: The use of AI is not permitted.