Validating Demand: Our Approach
At Inverse Collective, we take validation seriously. Before writing a single line of code, we ensure there's real demand for what we're building. Our process involves running cheap, fast experiments to gauge interest and gather feedback from actual payers. This method saves time, money, and ensures that we're solving a real problem.
Customer Discovery
The first step is customer discovery. We start by talking to people who might have the problem we're aiming to solve. This involves conducting interviews and surveys to understand their pain points. We ask questions like, "What are you currently using to solve this problem?" and "What frustrates you about your current solution?" This helps us pinpoint the need and potential demand.
We also look at existing solutions and ask why they might be falling short. Understanding competitors gives us insights into where we can add value. It's about learning who the customer is and what they truly need.
Building a Landing Page
Once we have a good understanding of the problem, we create a simple landing page. This serves as a tool for gauging interest. The page clearly states the problem, our proposed solution, and a call to action. Usually, this is a signup form for more information or early access.
We drive traffic to this page using targeted ads on platforms like Facebook and Google. We analyze the data to see how many people are interested enough to provide their email. If there's a good level of interest, it's a positive sign of demand.
Prototyping and MVP Testing
Before coding, we often create a prototype or a Minimum Viable Product (MVP). The MVP is the simplest version of our solution that can be tested with users. This might be a clickable prototype or a basic version of the software with core features.
We use tools like Figma for design prototypes and no-code platforms like Bubble to create functional MVPs. These allow us to test assumptions and gather user feedback quickly.
Running Paid Experiments
To further validate demand, we sometimes run paid experiments. This involves offering a basic version of the product or service for sale. We track how many people are willing to pay, even if the product is still in early stages.
For instance, with Elder Voice, we offered a subscription model for early adopters. This helped us gauge interest and willingness to pay. We found that people were eager to invest in a solution that provided companionship to their elderly loved ones.
Analyzing Feedback and Data
Data analysis is crucial. We look at metrics such as conversion rates on the landing page, the cost per acquisition, and the feedback from initial users. This helps us determine if the demand is strong enough to proceed.
Feedback from users is invaluable. It guides us in refining the product. We take note of what users like and what they find lacking. This iterative feedback loop ensures that when we do start coding, we're building something people want.
Deciding to Code
Once we have sufficient evidence of demand and a clear understanding of the customer's needs, we make the decision to proceed with development. By this stage, we've minimized the risks and maximized the chances of success.
This process might seem time-consuming, but it's far quicker and cheaper than building a product that nobody wants. We believe in being lean and efficient. Our focus is on creating software businesses that are durable and capital-efficient. Validating demand before coding is a key part of achieving that.