Outcome Signals
The clearest proof points from the role.
20,000 → 300,000 users
120 → 7,000 daily active users
3% → 15% monthly profit margins
~1–2% → ~16% market share over two years
Gaming / sports engagement
Scaled users from 20,000 to 300,000, moved DAU from 120 to 7,000, and improved margins from 3% to 15% while growing market share.
Product leadership blended with analytics, growth, and commercial strategy
User growth, engagement, and product-market differentiation
Scaled adoption and improved economics at the same time

At A Glance
A quicker read of the work before getting into the fuller story.
Outcome Signals
The clearest proof points from the role.
20,000 → 300,000 users
120 → 7,000 daily active users
3% → 15% monthly profit margins
~1–2% → ~16% market share over two years
What I Owned
Decision making, prioritisation, and hands-on product detail.
Visual Context
Public-safe references from the product or brand footprint.


Relevant Links
Public references and touchpoints for the product story.
Case Study
A lighter narrative read through the context, challenge, ownership, working style, and business effect.
Section 01
Mastermind Sports operated in the sports engagement and gaming space, focused on making live sports more interactive and social. Public press coverage positioned the company around virtual-currency sports prediction and second-screen fan experiences.
That meant the product challenge was not only about feature delivery, but also about user growth, engagement loops, and differentiated market positioning.
Section 02
The opportunity was to grow aggressively inside a crowded category while building a product that could hold user attention during live sports cycles.
Success depended on product-market fit, behavioural insight, and fast iteration backed by analytics rather than intuition alone.
Section 03
I owned the broader product portfolio and managed it through market analysis, gap identification, and idea generation designed to expand share and improve engagement.
My role extended beyond standard PM responsibilities into commercial thinking, because product outcomes and business model performance were tightly connected.
Section 04
I leaned heavily on current market signals, consumer behaviour, and product analytics to guide prioritisation. That allowed us to identify where the product could differentiate in both experience and economics.
The role required a blend of product management, growth strategy, and operational decision making that pushed me to think commercially as well as functionally.
Section 05
Over roughly two years, the product scaled from 20,000 users to 300,000, while daily active users grew from 120 to 7,000.
Margins improved from 3% to 15% monthly, and market share expanded from roughly 1–2% to around 16 percent, showing the value of pairing strong product thinking with business analytics and differentiated positioning.