Alex Hormozi created what he calls one of his "most important chapters" on customer avatars only after his book was published. This was a direct response to audience questions, showing that post-launch user feedback is a crucial tool for identifying and developing your most vital concepts.
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Don't just collect feedback from all users equally. Identify and listen closely to the few "visionary users" who intuitively grasp what's next. Their detailed feedback can serve as a powerful validation and even a blueprint for your long-term product strategy.
The weeks following a launch are for intense learning, not just promotion. The goal is to quickly identify high-adopting customer segments and then execute mini 'relaunches' with tailored messaging specifically for them, maximizing impact and conversion.
Early customer feedback will be polarized, and this is normal. The key is to compare the 'hell yes' customers with the 'not unhappy' ones. Meaning emerges from this contrast, revealing the subtle differences that drive true product love and guide your roadmap.
Go beyond simple prompts. Gather raw data—comments from your social media, competitor book reviews, and podcast feedback—and feed it all into ChatGPT. Then, ask it to synthesize this data into a detailed avatar guide, identify market gaps, and suggest opportunities for your offer.
Don't treat validation as a one-off task before development. The most successful products maintain a constant feedback loop with users to adapt to changing needs, regulations, and tastes. The worst mistake is to stop listening after the initial launch, as businesses that fail to adapt ultimately fail.
Your audience will dictate your product roadmap if you listen. Porterfield's evolution was a direct response to customer feedback. They finished her webinar course and asked what to sell. They finished her product course and asked how to market it. The path to her flagship product was paved with their questions.
Instead of building an automated evergreen product from scratch, launch it live first. This strategy allows you to learn from your audience in real time, test messaging, and handle objections. Once the process is dialed in and proven, you can package that successful system into a repeatable evergreen offer.
Glucose Goddess founder Jessie Inchauspé treats her Instagram posts like a tech product, using audience comments and DMs as direct user research. This iterative process of listening to and adapting based on feedback, even when negative, is key to refining a message for mass appeal.
Instead of broad surveys, interview 10-12 satisfied customers who signed up in the last few months. Their fresh memory of the problem and evaluation phases provides the most accurate insights into why people truly buy your product, allowing you to find patterns and replicate success.
Even at SpaceX, many engineers first heard from customers during a company all-hands. This feedback revealed the setup process was a huge pain point, leading to a dedicated team creating first-party mounting options. This shows that fundamental user research is critical even for highly technical, 'hard tech' products.
