Spaces:
Sleeping
Sleeping
| title: Virtual Consumer Persona V2 | |
| emoji: π― | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 6.9.0 | |
| app_file: app.py | |
| pinned: false | |
| license: cc-by-4.0 | |
| short_description: 'Live Target Market: AI-Powered Focus Group Interviews' | |
| # π― Virtual Consumer Persona β Live Focus Group | |
| Bring your target market to life. | |
| This interactive application allows students, marketers, and innovators to simulate real-world **consumer interviews** by generating a dynamic AI persona based on user-defined attributes. | |
| --- | |
| ## π What This App Does | |
| - Creates a **realistic consumer persona** from structured inputs | |
| - Simulates **live focus group conversations** | |
| - Enables testing of: | |
| - Product ideas | |
| - Pricing strategies | |
| - Marketing messages | |
| - Value propositions | |
| - Supports a **βSkeptical Consumer Modeβ** for tougher, more critical feedback | |
| --- | |
| ## π§ How It Works | |
| 1. Define your persona: | |
| - Demographics | |
| - Occupation & income | |
| - Psychographics | |
| - Buying habits | |
| 2. Ask questions as if conducting a real interview: | |
| - βWould you buy this?β | |
| - βWhat would stop you?β | |
| - βHow much would you pay?β | |
| 3. The AI responds **in character** as that consumer. | |
| --- | |
| ## π Ideal Use Cases | |
| - Business and marketing education | |
| - Customer discovery (Lean Startup) | |
| - Product validation | |
| - UX and persona testing | |
| - Entrepreneurship training | |
| --- | |
| ## βοΈ Features | |
| - π¬ Real-time streaming conversation | |
| - π In-character responses (non-AI tone) | |
| - π Critical / skeptical mode | |
| - π Adjustable creativity (temperature, top-p) | |
| - π§ͺ Safe environment for experimentation | |
| --- | |
| ## π Tech Stack | |
| - Gradio 6.9.0 | |
| - OpenAI API (GPT-4o-mini) | |
| - Python 3.12 | |
| --- | |
| ## π Educational Context | |
| Developed as part of applied teaching in: | |
| - Digital Marketing Strategy | |
| - AI in Marketing | |
| - Marketing Analytics & Insights | |
| The goal is to help students move from: | |
| π Assumptions | |
| to | |
| π Evidence-based customer understanding | |
| --- | |
| ## π¨βπ« Developed By | |
| Wael Nawara | |
| Professor | AI & Marketing Analytics | |
| Tech Entrepreneur | Applied AI Builder | |
| --- | |
| ## π License | |
| Creative Commons Attribution 4.0 (CC BY 4.0) | |