Idea to Product with Product Loop: The Journey of Building AI Passive Income Path Finder
- Esuabom Dijemeni
- Jul 4
- 10 min read
"I have an idea, but I don't know what to do next."
If that sounds familiar, you're not alone.
Turning an idea into a product is exciting, but without a clear product development process, it's easy to get stuck building the wrong thing.
In this blog, I'll share the journey of building AI Passive Income Path Finder using the Product Loop—a simple framework that can help you turn your own idea into a product people want.
Table of Contents
The Company
Since 2020, Entrepreneurs Growth has been on a mission to help anyone build a business and create multiple income streams, regardless of their background or starting point.
The company provides a range of entrepreneurial solutions, including software, training, and business management services, designed to help aspiring entrepreneurs and side hustlers turn their ideas into sustainable businesses.
Its mission is to empower customers to build profitable businesses and multiple income streams, with the ambition of generating at least £100,000 in annual revenue.
A key differentiator is its proprietary technology and data platform, which enables Entrepreneurs Growth to deliver personalised products and experiences that stand out in the market.
Today, Entrepreneurs Growth is a growing business with approximately 37 employees and a community of more than 20,000 paying customers worldwide.
The Challenge
Entrepreneurs Growth is continually developing new products to help customers build multiple income streams. One of those products is the AI Passive Income Path Finder.
However, after a year of development, the product had not delivered the expected outcomes.
After speaking with the product team and senior stakeholders, several key challenges became clear:
No clear product strategy or direction.
Too many ideas competing for attention.
Unclear understanding of the target customer.
A rigid, waterfall approach to product development.
Limited appetite for experimentation and risk-taking.
Product decisions made through a top-down process.
Little focus on continuous learning and improvement.
The team needed a simple way to align, experiment, learn, and make better product decisions. That's where the Product Loop came in.
The Solution: The Product Loop
To overcome these challenges, Entrepreneurs Growth partnered with ITyDATA to transform the way the team developed products using the Product Loop.
The transformation was led by Esuabom Dijemeni, Product Consultant, Coach, and Trainer, who worked closely with the product team and senior stakeholders to implement the Product Loop while building the AI Passive Income Finder.
The journey began with a three-part training programme:
Product Loop for Executives
The Product Loop for Product Teams
Deep Dive into the Product Loop – A hands-on case study
Following the training, the team launched their first Product Loop.
Each Product Loop consists of seven simple steps:
Product Loop Statement – Create a clear product direction.
Product Idea – Capture and share the product idea.
Product Discovery – Understand the customer and the problem.
Product Experiment – Build, measure, and learn.
Product Retrospective – Reflect on the journey and key learnings.
Product Decision – Decide what to build next.
Repeat the Loop – Create the next Product Loop Statement and continue improving.
Let's walk through each step of the Product Loop and see how it helped turn an idea into a product.
Idea to Product: Creating Our Product Loop Statement
Every product journey needs a clear direction.
That's why the first step in the Product Loop is creating a Product Loop Statement
A simple statement that aligns the team around:
What we're building?
Who it's for?
What outcome do we want to achieve?
Our Product Loop Statement was:
For Loop 1 Team Wealth Technology is building an AI Passive Income Path Finder - Minimum Viable Product For 4 weeks starting from 20/06/26 In order to empower side hustlers and entrepreneurs generate passive income in an AI word
This became our north star, guiding every product decision throughout Product Loop 1.
✅ Created Product Loop Statement
Idea to Product: Capturing Our Product Idea
With our Product Loop Statement in place, it was time to capture our product idea.
The goal was to make the idea clear, simple, and easy to share with others.
Using the Product Idea Framework, we created an Idea Canvas for AI Passive Income Finder
Lets break down our Product Idea!
Idea Name
AI Passive Income Path Finder
Ideation Date
22/06/26
Product Idea Loop:
Loop 1
Goal
Help people find their next AI-powered passive income path
Problem
Many people can no longer rely on a single source of income.
Value
Provide a SMART AI passive income path tailored to each user
Slogan
Make passive income with AI
Concept
AI-powered financial web application
Core Feature
AI Passive Income Finder
Visualise It
Sketched the first version of the product experience
Map It
Created a simple mind map to organise the product ideas and product concept
Share It
Shared the concept across WhatsApp, LinkedIn, Instagram, our blog, and community to gather early feedback.
Capturing our idea on a single canvas transformed it from a thought into something tangible that we could communicate, validate, and improve.
✅ Created Product Idea Canvas
Idea to Product: Discovering the Product
With our Product Idea Canvas complete, the next step was to discover the product.
Discovery from a customer's perspective!
Instead of focusing on features, we focused on:
Understanding who we were building for
Problem they were trying to solve
Journey they would take.
Using the Product Discovery Framework, we completed the following:
Named the product
Stated the Product Discovery Loop Number
Set the discovery date
Created a buyer persona
Mapped the buyer journey
Built our first story map.
Breaking Down Our Product Discovery
Product Name
AI Passive Income Path Finder
Discovery Start Date
23/06/26
Product Discovery Loop
Loop 1
Buyer Persona - Meet Joyce
Our ideal customer is Joyce—a Non-Tech AI Hustler looking to build a second source of income.
Occupation: Project Manager
Age: 33
Location: London, United Kingdom
Goal: Generate passive income with AI
Joyce's Needs
Build a second income stream.
Learn how to use AI effectively.
Learn how to create, sell, and distribute digital products.
Joyce's Frustrations
Rising cost of living.
Fear of redundancy.
Uncertainty about AI replacing jobs.
Core Motivation
"I need to start making passive income as soon as possible."
Buyer Journey - Joyce's Journey
Understanding Joyce's journey helped us identify how we could support her at every stage.
Awareness Stage
Feeling Frustrated with the rising cost of living whilst having only one income source
Exploring How to turn ideas to products with AI for passive income
Asking coaching questions and searching gogle for "How to turn ideas to products with AI for passive income?"
Share a blog post - Idea to Product - AI Passive Income Path Finder and share app in community
Consideration Stage
Consider about where to start with AI for Product Building for Passive Income
Feeling overwhelmed by too many options
Searching how to find a simple and doable path to start their journey
Reviewing AI Passive Income Path Finder
Host a free practical webinar - Idea to Product - AI Passive Income Path Finder and create FAQS- AI Passive Income Path Finder
Building Our Story Map
We then translated Joyce's journey into a product story map to prioritise what to build first.
User Activities
Find my AI Passive Income Path
User Tasks
Click App Link
Fill the Questionnaire
Review AI Passive Income Path Finder
Start working on Next Move
Release 1 - Minimum Viable Product (MVP)
Questionnaire
Passive Income Graph
Passive Income Report
Build First Passive Income Strategies
Multiply Passive Income Strategies
Data storage
Release 2 – Enhanced Personalisation
Add new personalised input fields
Basic AI generated report
Authentication
Release 3 - Intelligent Growth
Advanced AI generated report
Email capability
One income stream
Share
Finally, we shared our product discovery across WhatsApp, LinkedIn, Instagram, our blog, and our online community to gather early feedback and validate our thinking.
Putting it all together to create our Product Discovery Canvas
✅ Completed Product Discovery
Idea to Product: Running Our First Experiment
With our product discovery complete, it was time to test our biggest assumption by building our first experiment.
Using the Product Experiment Framework, we designed and delivered our first Product Loop experiment.
Breaking Down Our Experiment
Product Experiment Loop
Loop 1
Experiment Start Date
23/06/26
Product
AI Passive Income Path Finder
Our Riskiest Assumption
Our biggest risk wasn't whether people wanted to find an AI passive income path—we had already validated that. The real question was:
Could we build a simple Minimum Viable Product (MVP) that delivers personalised AI passive income recommendations?
Our Hypothesis
We believed that people want to build passive income with AI, but they don't know where to start.
We had previously facilitated a workshop where more than 15 participants manually calculated their AI Passive Income Score. While the feedback was positive, many still struggled to identify the AI passive income path that best suited them.
If we built a simple MVP, we believed we could help users discover a personalised AI passive income path in minutes.
Building the MVP
To test our hypothesis, we built the AI Passive Income Finder using Python, Supabase, and ChatGPT.
The result was a working MVP that users could access and test immediately.
App Link: https://ai-passive-income-path-finder.streamlit.app/ [The app was taken down due to infringement and intellectual property 😥. We cant share the images and videos of the app] Keep calm and we have a new app to share shortly
Measuring Success
Our biggest risk was the ability to build the product, we measured our progress using a burndown chart.
Reviewing it every day helped us track development, identify blockers early, and reduce delivery risk throughout the experiment.
What We Learned
Our biggest learning was simple:
AI dramatically accelerates MVP development and reduces the risk of building new products.
Instead of spending weeks creating a prototype, we built, tested, and learned in a fraction of the time.
Share
Finally, we shared our experiment across WhatsApp, LinkedIn, Instagram, our blog, and our online community to gather feedback and inform the next Product Loop.
✅ Completed Product Experiment
Idea to Product: Reflecting on Our Product Journey
At the end of our product loop, we took time to pause and reflect.
Not to criticise what happened—but to learn from it.
We used the Plus–Minus–Loop framework and asked ourselves three simple questions:
Plus (+) - What are three things that went well?
Minus (-) - What are two things that didn't go as well?
Loop (o) - What is one thing we'll do differently in the next product loop?
Plus (+)
We successfully created our Minimum Viable Product (MVP).
AI significantly accelerated both customer discovery and product development.
We identified three distinct user groups:
People who want to use AI to build products.
People who want to use AI to create passive income.
People who want to use AI to build products that generate passive income.
Minus (-)
We didnt check intellectual property and infringement before we started developing. Came back to hunt us 😭
We didn't spend enough time talking to potential customers.
Loop (o)
Get out of the building (speaking to potential customers) whist building the product
✅ Product Retrospective Completed
Idea to Product: Making Our Next Product Decision
Reflection is valuable—but only if it leads to better decisions.
Using the Product Decision Framework, we evaluated five possible paths for our product:
Start – Begin something new.
Preserve With – Continue building while making targeted improvements.
Pivot To – Change direction based on what we've learned.
Pause – Take time to gather more evidence before moving forward.
Stop – End the product journey.
After reviewing everything we learned during our product loop, we made our decision.
Team Wealth technology decides to Preserve With AI Passive Income Path Finder Because we can transform the app experience from a one-time experience into the beginning of a relationship with our customers and avoid intellectual infringement In order to improve user experience, conversion rate and legal standing
Our next product loop will focus on transforming the app from a one-time interaction into the beginning of an ongoing relationship with our customers, delivering continuous value beyond the first use.
✅ Next Product Decision Made
Idea to Product: Repeating the Product Loop
A product is never finished—it continuously evolves.
That's why the final step in the Product Loop is to repeat the loop
Based on the insights from Product Loop 1, we created our next Product Loop Statement.
For Product Loop 2, Team Wealth Technology is building the AI Passive Income Path Finder - Personalised Action Plan For four weeks and starting 20/07/26, To transform the application from a one-time experience into the beginning of a long-term customer relationship while avoiding intellectual infringement.
✅ Created Product Loop 2 Statement
The Transformation
Over a four-week Product Loop, our team experienced more than product progress—we changed the way we work.
From Unfocused to Aligned
Creating our Product Loop Statement gave the team a shared direction. Everyone aligned behind one product and one outcome.
From Many Ideas to One Clear Vision
Using the Product Idea Framework, we transformed scattered ideas into a single product idea that was documented, shared, and understood by everyone.
From Product Thinking to Customer Thinking
The Product Discovery Framework helped us shift our mindset. Instead of starting with features, we started with the customer and the problems they wanted to solve.
From Waterfall to Experimentation
We moved away from long development cycles and adopted an agile, experiment-driven approach using Product Experiment Framework. Every Product Loop focused on testing assumptions, learning quickly, and delivering value incrementally.
From Blame to Learning
Introducing the Plus–Minus–Loop Retrospective created a culture of continuous learning. Instead of blaming each other, we reflected together and improved with every loop.
From Following Decisions to Owning Decisions
The team stopped waiting to be told what to build next. Together, we analysed our learnings and decided on the next product improvement using Product Decision Framework that would create the most value for users.
From Projects to Product Loops
Perhaps the biggest transformation was our mindset. We no longer viewed product development as a one-off project with a fixed scope. We embraced continuous discovery, experimentation, and improvement through the Product Loop.
What's Your Next Product Loop?
If you're building a product, leading a product team, or exploring how AI can accelerate product development, we'd love to hear from you.
Email contact@itydata.com if you would like to:
Ask a follow-up question about this case study.
Discuss your product idea or product challenges.
Learn how to use AI to accelerate product development.
Join our growing AI Product Builder community.
Your next Product Loop could be the one that transforms your idea into a product your customers love.
We look forward to hearing from you.
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