synthetic-market-research

Simulate survey responses with LLM text and Semantic Similarity Rating.

36|8|Updated Feb 14, 2026

Search Tags:#LLM #market research #synthetic data #SSR #concept testing #pricing research

Ready to run

npx skills add https://github.com/BayramAnnakov/synthetic-market-research --skill synthetic-market-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: synthetic-market-research
Source: https://github.com/BayramAnnakov/synthetic-market-research/tree/main
Command: npx skills add https://github.com/BayramAnnakov/synthetic-market-research --skill synthetic-market-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires semantic-similarity-rating, numpy, polars, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides fast, low-cost market research by generating synthetic survey responses, enabling quick testing of product concepts, pricing, and purchase intent without the need for real human participants.

Core Features & Use Cases

Synthetic Surveys: Generates realistic survey responses using LLMs and Semantic Similarity Rating (SSR).
Concept & Pricing Tests: Validates product ideas, feature appeal, and price sensitivity.
Use Case: Test a new app idea by defining the target audience and concept, then receive a detailed report on potential purchase intent and segment-specific feedback within minutes.

Quick Start

Use the synthetic-market-research skill to test the concept "AI tool that writes personalized cold emails for SDRs, $49/mo".

Frequently Asked Questions about synthetic-market-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I test product concepts and pricing without recruiting human survey participants?▼

You can test product concepts and pricing by generating synthetic survey responses using LLMs and Semantic Similarity Rating (SSR). This simulates demographic personas to provide directional insights on purchase intent and price acceptability within minutes.

What is synthetic market research and how does it validate new product ideas?▼

Synthetic market research validates new product ideas by using LLM-generated text to simulate survey responses. It leverages a validated methodology and demographic personas to achieve high correlation with real human responses, yielding directional insights for product strategy.

Can I use LLMs to simulate survey responses for purchase intent and concept appeal?▼

Yes, you can use LLMs to simulate survey responses for purchase intent and concept appeal. The process analyzes product features and market positioning by generating synthetic data that correlates highly with actual human survey feedback.

What is the best way to conduct rapid market research for an early-stage app idea?▼

The best way to conduct rapid market research for an app idea is simulating surveys with LLMs and SSR. By defining your target audience and concept, you receive a detailed report on potential purchase intent and segment-specific feedback quickly.

Do I need real human participants to analyze price sensitivity for a new SaaS tool?▼

No, you do not need real human participants to analyze price sensitivity. This skill generates synthetic survey responses using LLMs and SSR to test pricing acceptability and validate market positioning without human participants.

Are synthetic survey responses reliable for making product validation and strategy decisions?▼

Synthetic survey responses are reliable for directional insights in product validation. The methodology uses demographic personas and SSR to achieve high correlation with real human responses, making it suitable for fast, cost-effective strategy testing.