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Crafting Illusions to Capture Real Desires
👋 Hey there, I'm Felix, I'm stoked to share some Product-Market-Fit experiments and Growth Hacks wisdom I learned while launching my startups. Get ready for experimentation 🧪💥🦄 !
Example: Zappos, an online shoe retailer, tested the market's willingness to buy shoes online. The founder, Tony Hsieh, set up an online store featuring shoes from a nearby retail store. When a customer purchased a shoe online, Hsieh would buy the shoe from the retail store and ship it to the customer. This experiment successfully demonstrated that people were willing to purchase shoes online, countering the prevailing belief that they wouldn't.
Background: The "Facade" experiment is designed to test the Initial Level of Interest (ILI) in an existing product or service that is not yet widely available or scalable. By creating the impression of greater availability or scale, businesses can assess the market's readiness and demand for the product or service.
Experiment Name: Facade
Stage: Idea Validation (Problem Solution Fit)
Benefits: Determine market interest in a product or service with limited current availability.
Risks: Potential customer dissatisfaction if the perceived availability doesn't match the reality.
Purpose: Assess the feasibility of scaling up a product or service based on customer interest.
Setup Time & Resources: Moderate; requires creating a realistic impression of availability or scale.
Evidence Level: Moderate; based on customer engagement and purchase behavior.
Method: Present the product or service as more broadly available or scalable than it currently is.
Prototype: A platform or system that gives the impression of wider availability.
Define Objectives: Identify what you want to learn about the market's response to the product or service.
Prototype Creation: Develop a platform or system that convincingly represents the product or service as widely available or scalable.
Prototype Testing: Ensure the prototype effectively simulates the desired level of availability or scale.
Experiment Execution: Monitor customer interactions and track purchases or inquiries.
Results Analysis: Evaluate customer response and purchasing behavior to assess potential for scaling the product or service.
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