Chris Guest | How I Tested Custom Fitted Eyeglasses
Mar 20, 2024
auto_awesome
Chris Guest from Topology Eyewear discusses problem perception and desirability testing. He explains the Problem Perception Spectrum, finding early adopters, and setting up a successful pop-up store. The transition from desirability to feasibility and viability is highlighted, along with the importance of trust in the customer experience. Chris also touches on traction design and the need to validate market opportunity early on in the startup process.
Understanding problem perception is crucial for positioning solutions effectively.
Early traction validation is essential for startup success, focusing on desirability and market interest before development.
Deep dives
Chris Guest's Background in Traction Design and Innovation
Chris Guest, a traction designer and former startup CMO, discusses his experience with guiding tech startups to finding product-market fit. He emphasizes the importance of validation from the earliest stages to gain traction before developing the solution. Guest focuses on unconventional startups with unique offerings that require behavior change to adopt.
Guest's Approach to Traction Design As Focusing on Traction Validation Early On
Guest advocates for a shift in focus from feasibility to traction validation in the startup process. He suggests constructing an offer that validates market interest in the early stages, even before product development. By prioritizing desirability and marketability, Guest aims to address the prevalent issue of startups failing due to lack of traction.
Testing the Market Demand Before Product Development
Guest presents a case of EdTech startup in England offering a guarantee of academic success in exams or money-back. He highlights the significance of validating market demand for an offer before investing in the solution. By shifting the focus to customer interest and willingness to pay, Guest aims to enable startups to pivot effectively and prevent investment in unprofitable solutions.
Where to Find More About Chris Guest and Traction Design
Listeners interested in Guest's insights can connect with him on LinkedIn or visit his website tractiondesigner.com. He offers a resource on the problem perception spectrum and shares further testing strategies on his Substack publication 'Traction Design.' Guest's approach to validating traction early on provides a valuable perspective for startups seeking to achieve market success.
In this conversation, Chris Guest discusses the importance of understanding problem perception and the nuances of desirability testing.
He shares insights from his experience with Topology Eyewear, where they tackled the problem of ill-fitting glasses. Chris explains the Problem Perception Spectrum and how it helped them position and communicate their solution. He also emphasizes the need to find early adopters who resonate with the problem and shares his favorite experiments, including a concierge MVP for Topology Eyewear.
Chris Guest shares his experience setting up a pop-up store to test the desirability of a product. He explains how they controlled the experiment and measured interest and feedback from customers. The pop-up store was a success, leading to further scaling and growth.
Chris also discusses the transition from desirability to feasibility and viability, and the importance of trust in the customer experience. He concludes by introducing his current work on traction design and the need to validate market opportunity early on in the startup process.
Get the Snipd podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share & Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode