How I Entered Product Management
My journey into product management did not begin with a formal roadmap. It began with curiosity about why many good ideas in Africa struggle to become sustainable products.
At the early stage of my career, I spent time volunteering within startup and technology communities, supporting teams with coordination, operations, documentation, and execution structure. I observed founders working tirelessly to build products, yet many of those products struggled to gain adoption or survive beyond the early phase.
The problem was rarely ambition. The problem was usually structure.
Teams were building solutions without understanding user behavior deeply enough. Many products focused heavily on features but ignored systems around validation, onboarding, trust, and retention.
That exposure attracted me to product management.
I became interested in understanding how products move from idea to adoption, how teams move from confusion to clarity and how systems transform execution.
What initially attracted me most was the intersection between people, systems, technology and decision-making
Product management gave me a framework for solving problems structurally rather than emotionally.
Over time, I realized that building products in emerging markets requires more than technical execution. It requires understanding behavior, trust, infrastructure limitations, and how users make decisions under uncertainty.
That understanding shaped the direction of my career.
What Building Too Fast Taught Me
One of the biggest mistakes I made early in my career was assumption-driven building.
Like many early builders, I believed that if a product solved a real problem technically, users would naturally adopt it.
That assumption turned out to be incomplete.
In my early work across fintech and Web3 products, we spent significant time building features, improving functionality, and pushing products into the market. We believed that technical quality alone would create traction.
It did not.
Some products gained attention initially but struggled with retention. Others attracted users who did not continue engaging long term. In some cases, feature expansion increased complexity instead of improving adoption.
This became one of the most important lessons in my career:
A working product is not the same thing as a validated product.
At one point, we focused heavily on adding features we believed users would appreciate without validating whether those features addressed actual user behavior. We optimized systems internally while ignoring emotional friction externally.
The result was predictable: onboarding became complicated, user confidence reduced, adoption slowed and retention weakened.
The deeper issue was not technology. It was the absence of structured customer understanding. We were building based on internal assumptions instead of external validation.
This phase permanently changed how I think about product management. I stopped seeing products as collections of features and started seeing them as systems designed around human behavior.
The Shift Into Product Thinking
The transition from builder to product strategist happened when I began applying structured customer development. Instead of starting with solutions, I started with behavior.
I spent more time engaging users directly, observing how they interacted with systems, understanding where trust broke down, and identifying why users abandoned products even when the technical solution worked. This changed my entire product philosophy.
One of the clearest insights I discovered was that retention is often more valuable than acquisition as an indicator of product health.
Many startups celebrate downloads, impressions and visibility. However, products grow sustainably when users return voluntarily and consistently.
This shifted my attention toward:m onboarding experience, behavioral friction, user trust, communication clarity, customer confidence and emotional safety within product systems
I began treating customer development as a continuous operating system rather than a one-time validation exercise.
In one transport-related project I led, customer development started before a full product was built.
We conducted direct interviews with target users, introduced early onboarding systems, validated willingness to complete registration processes and tested user confidence before development reached maturity. An important signal emerged quickly. Users were not primarily validating features, they were validating reliability.
They wanted to know whether the system would remain operational, what happens during failure, who takes responsibility when issues occur and whether the platform could be trusted long term.
That insight changed the direction of our product architecture.
We redesigned onboarding systems, communication transparency, interaction flows, early MVP testing structures. The results became visible through repeat usage behavior, stronger user referrals, increased customer confidence and lower churn levels.
This phase matured my understanding of product management.
Products do not scale because users understand the technology. Products scale because users trust the experience.
Lessons From Building Multiple Products
Working across multiple products helped shape a broader understanding of product systems in emerging markets.
Each product taught a different lesson.
Auto Swapper focused on solving the volatility challenge common within digital asset ecosystems. The product later evolved into an SDK integrated across more than 20 projects.
One major lesson from this product was understanding the difference between technical success and user adoption.
Even when infrastructure works properly, users still need confidence, simplicity, and predictability before sustained adoption occurs.
This product strengthened my understanding of ecosystem interoperability and scalable infrastructure thinking.
PayGo exposed deeper lessons around customer retention and churn.
Initially, the focus was heavily centered around solving subscription management challenges technically. However, user behavior showed that retention problems were tied more closely to trust, consistency, and user communication than payment functionality itself.
This experience helped me understand that churn is often a behavioral problem before it becomes a technical problem.
Retention improved when communication became clearer, onboarding became smoother, and users felt more informed throughout the payment lifecycle.
Autoramp became one of the strongest case studies in my career regarding trust-based product design.
The initial assumption was straightforward: users needed faster and easier crypto on- and off-ramping.
To validate this assumption, I conducted structured qualitative interviews with more than 30 users across West Africa.
What emerged completely changed the product direction.
Users cared less about exchange rates and transaction speed than expected. Their dominant concerns were transaction reliability, platform longevity, operational transparency, and confidence in handling financial assets.
This revealed that the biggest barrier was not functionality. It was trust.
We redesigned the product journey around trust architecture by simplifying onboarding, improving transaction communication, increasing process transparency, reducing uncertainty throughout user flows, and involving users early during testing phases.
The results showed measurable traction, including more than 490 completed transactions during early operations, peak activity between 5 and 20 daily transactions, transaction session volumes ranging from ₦100,000 to ₦2 million, and a 98 percent retention rate with minimal churn.
The most valuable lesson from Autoramp was this:
In emerging markets, trust is often the primary product layer.
MetaGauge represented a transition into ecosystem-level thinking.
Beyond product execution, the project involved governance systems, role structuring, operational coordination, and incubation readiness.
The product later progressed into incubation within AYA HQ.
This phase taught me that scalable products require scalable operational systems behind them.
The project also reinforced the importance of consensus-based execution within decentralized and cross-functional environments.
Building People Alongside Products
One of the most meaningful parts of my journey has been contributing to ecosystem development and talent growth.
I strongly believe that sustainable ecosystems are built not only through products, but through people capable of building repeatedly.
Over the past year, I designed and led structured product management cohorts focused on helping early-stage product managers and founders develop execution capabilities.
Across two cohorts, 19 participants completed structured product training through 12-week learning and execution cycles while working on real product problems across multiple sectors.
The curriculum focused on product discovery, customer development, user research, product requirement MVP development, go-to-market systems, and validation frameworks.
The focus was practical execution rather than theoretical learning.
The outcomes became visible quickly. Four participants progressed from ideas into working prototypes. Two products launched with early users. One product advanced into incubation, while additional products emerged across healthcare, agriculture, real estate, and Web3 analytics.
Beyond cohorts, I also contributed to startup incubation support, mentorship for early founders, ecosystem coordination programs, and community events focused on product thinking and innovation.
One important milestone was helping organize Product Management Day, which brought together leaders across Web2, Web3, and AI to discuss product systems, execution, and ecosystem growth.
I also contributed to organizing and judging an hackathon called Buidlathon, which involved over 100 participants building across 27 projects with a price pool of $4500.
These experiences strengthened my belief that Africa’s startup ecosystem requires stronger execution systems, stronger product education, and stronger customer understanding.
What African Startups Must Do Differently
One of the biggest misconceptions within many startup ecosystems is the belief that speed alone creates successful companies.
Africa does not lack builders.
Africa lacks structured product systems.
Many startups move too quickly into development before deeply understanding user behavior, trust barriers, onboarding friction, operational realities, and retention dynamics.
Funding is important. Distribution is important. Technology is important.
But none of those matter when users do not trust the system enough to stay.
The most successful products I have worked on were not necessarily the most technically advanced. They were the products that reduced uncertainty, improved transparency, and created confidence within the user experience.
This is why customer development remains central to my philosophy.
Product managers must spend less time defending assumptions and more time validating behavior.
They must engage users earlier, simplify systems aggressively, build onboarding around confidence, prioritize retention over vanity metrics, and create products based on observed behavior rather than internal opinions.
My long-term vision is centered around building stronger execution systems across Africa’s digital ecosystem.
This includes developing product talent, improving startup validation culture, building trust-driven digital systems, supporting scalable innovation frameworks, and applying product thinking to infrastructure-level problems.
Across healthcare, fintech, blockchain infrastructure, transport systems, and ecosystem development, the mission remains consistent:
Build products people trust.
Build systems teams can scale.
Build ecosystems capable of producing sustainable innovation repeatedly.
