How to guarantee your product idea/ feature sells

There is an established way to increase the odds market significantly for a product - proven over and over again.1

However, when AI builds your products, a new approach opens up - the winning way.

You will read it here first, as no one talks about it, yet.

Reading time is 5 min.

The New Way of Finding Product Market Fit 🎯 

Illustration of three individuals interacting with a large smartphone. They are using tablets and phones, surrounded by icons representing likes, messages, and notifications, symbolizing digital interaction and app engagement.

The established way

… has been proven over and over again to be a good guideline. There is of course much more to it, and you might have a different sequence in mind - that is ok.

At its core, it involves the following steps:

  1. Identify a Problem or Need (avg. 1-2 weeks)

    Focus on real pain points or desires in the market.

  2. Market Research (avg. 2-4 weeks)

    Analyze competitors and the market landscape. Understand who your potential customers are, what they currently use, and what gaps exist.

  3. Validate the Idea (avg. 3-6 weeks)

    Use tools like surveys, interviews, and A/B testing to gather feedback from potential customers. Validate through Crowdfunding.

    For strong signals, build MVPs (Minimum Viable Products) and measure the response. → this eats time

  4. Develop a Unique Value Proposition (avg. 1-2 weeks)

    Clearly define why your product is better than alternatives. This UVP should resonate with your target audience.

  5. Iterative Testing and Refinement (avg. 4-8 weeks)

    Build and launch in stages. Use early adopters to gather insights and iterate based on feedback.

  6. Build a Go-to-Market Strategy (avg. 3-5 weeks)

    Develop a clear plan on how to reach your target audience, including pricing, channels, marketing, and sales strategies. Consider partnerships that can boost credibility.

  7. Monitor and Adapt (avg. 2-4 weeks, and ongoing)

    After launch, track sales, customer feedback, and market trends. Be prepared to pivot or enhance the product based on real-world data.

Total estimated average time: 16-31 weeks for an average software tool.

This proven approach will change due to the ability to build full software products in sheer hours.

The winning way - faster and with stronger signals

How to guarantee your product idea or feature sells in the AI era!

First, here's a little-known fact: AI can build software MVPs in under 2 hours.

We are teaching it. Next week, the doors for batch 1 are open!

If you can build an MVP in, say, 1 hour, the approach to finding product market fit shifts significantly.

The speed of MVP creation allows for rapid testing, feedback loops, and iteration.

Flowchart for a Travel Planner App showcasing different features like trip planning modes and budgeting tools. It includes options like pre-planned itineraries, custom itineraries, AI-suggested itineraries, simple budget tracker, advanced budgeting, and auto-budgeting, with testing phases and engagement results indicating the winning features.

Example Traval Planner App: Build 3 options, test with real users, and continue with next feature.

  1. Hyper-Focused Problem Identification (avg. 1-2 days)

    You can quickly test multiple ideas. Focus on identifying and validating the most pressing problems through quick customer interaction.

    The result should be a pre-filtered list (impact vs. feasibility) with multiple points. You can build en masse now!

  2. Rapid Market Research (avg. 1-2 days)

    Perform competitor analysis and market validation using tools like online forums, social media, and Google Trends. The goal is to quickly identify gaps and opportunities.
    You don’t want to spend too much time at this stage, as you consider multiple software solutions.

  3. Immediate Idea Validation (avg. 1-3 days)

    With a 1-hour MVP, you can create and test multiple versions in a single day. Deploy them to a small audience through social media ads, landing pages, or email campaigns. Use real-time analytics to gauge interest.
    How to build anything as a non-technical person? [Online Course - Everyone Can Code!]
    (Btw. we not only teach software development but also measurement of user analytics via tracking pixels.)

  4. Accelerated UVP Development (avg. 1 day)

    Quickly refine your UVP based on the feedback from your MVP tests. The goal is to identify the messaging that resonates most with your audience.
    At this stage, you may have 10 versions, but data will guide you to double down on the top 3.

  5. Continuous Iterative Testing and Refinement (avg. 1-2 weeks, ongoing, in rapid cycles)

    You can continuously iterate based on feedback in an ultra-fast way. Consolidated feedbackalmost instant iteration.
    Run multiple small-scale tests and refine your product or feature almost daily, until you hit the sweet spot.

  6. Streamlined Go-to-Market Strategy (avg. 1-2 weeks)

    Develop a lean marketing strategy that can be quickly deployed and adapted. Focus on digital channels where you can instantly measure results; social media, or email marketing.

  7. Real-Time Monitoring and Adaptation (ongoing, in rapid adaptation)

    Constantly monitor user engagement and feedback. With the ability to build MVPs rapidly, adapt your product almost in real-time based on performance metrics and customer insights.

    Automate as much as possible.

Total estimated average time: 3-5 weeks for an average software tool. Plus, several versions and features have been tested along the way.

The winning way is more agile with high-frequency iteration. It’s more in touch with what people want or don’t want.

Organizations and individuals will far outpace the established way with stronger, more accurate market fit signals.

Stong signals early on!

Testing and validation happen almost simultaneously with development.

Decision-making is driven by real-time data rather than lengthy planning.

The established way won't remain established in the new AI era.

Join our hands-on, high-impact online course. It includes:

  • A supportive community for collaboration → Discord Server!

  • Direct access to me via office hours for your project guidance.

  • Multiple touchpoints for the first batch.

With the winning way the following is even more true:

The way to get startup ideas is not to try to think of startup ideas. It's to look for problems, preferably problems you have yourself. The very best startup ideas tend to have three things in common: they're something the founders themselves want, that they themselves can build, and that few others realize are worth doing.

Paul Graham

[Last call]

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That’s a wrap! I hope you enjoyed it.

I continue letting AI build my mobile app - a personalized task manager for the day.

Martin

Our webpage

1  And many books written on this topic. Here are the ones I read and did recommend at some time, but not anymore 😄: Here’s the list of books on product-market fit: The Lean Startup by Eric Ries, The Lean Product Playbook by Dan Olsen, The Four Steps to the Epiphany by Steve Blank. And of course, there are much more.