Associate Product Manager · Regina, SK
I turn user pain
into measurable
product.
I'm Lilian Adeiwa — an associate product manager working at the intersection of strategy, discovery and delivery. I write opinionated PRDs, run honest experiments, and ship product that respects the people using it.
Selected work
Three projects, three markets.
Each project story walks through the problem, the product decision, and the result — targets, pilots, or design outcomes labelled accurately.
A fourth case study is in progress — ask me about it.
My approach
I start with the problem, not the feature.
I believe good product decisions begin with understanding what is actually happening.
Before thinking about features, I want to understand the people involved, how they currently work, where the friction is, and why the problem matters. That means asking questions, looking at user behaviour and feedback, understanding the business context, and separating assumptions from what the evidence is actually saying.
From there, I turn what I learn into product direction: what problem is worth solving, what should be prioritized, what assumptions need to be tested, and how we will know whether the solution is working.
I like making ideas tangible early. Depending on the problem, that could mean a user flow, wireframe, interactive prototype, experiment, or a clearly defined first version. I would rather put something meaningful in front of users, learn from their response, and improve it than spend too long building around assumptions.
And I don't see launch as the end of the work. Once something is released, I want to understand what happened: Are people using it? Where are they struggling? Did the behaviour we expected actually happen? What should we improve next?
For me, product management is a continuous loop of understanding, deciding, building, learning, and improving.
How I work
From ambiguity to something people can actually use.
01
Understand before solving
I start by getting close to the problem. I learn how users currently work, where they experience friction, what they are trying to accomplish, and what constraints the team or business is working within. The goal is not simply to collect information; it is to make sure we are solving the right problem.
02
Find the signal
Research can produce a lot of information. My job is to find what matters. I bring together user insight, business needs, competitive context, and available data to identify patterns and determine where the strongest product opportunity lies.
03
Make the decision clear
Once the opportunity is understood, I turn insight into direction. I define the problem clearly, prioritize what matters most, make trade-offs visible, align the work around measurable outcomes, and create enough clarity for the team to move forward.
04
Make it tangible
I use flows, wireframes, prototypes, and lightweight experiments to turn ideas into something people can react to. Making the solution tangible early helps uncover weak assumptions, improve collaboration, and create better conversations with users and teams.
05
Learn from what happens next
After a solution is tested or released, I look at feedback, behaviour, and success measures to understand what worked and what did not. The goal is not to defend the original idea. It is to learn enough to make the next decision better.
What I bring
Product thinking grounded in real problems.
My experience spans product discovery, strategy, execution, and experimentation. I have worked on problems across B2B workflows, AI-enabled products, customer experience, healthcare, and business operations.
What connects my work is a curiosity about how people actually work and how products can make that work clearer, faster, or easier.
Product discovery & strategy
I work through user research, customer discovery, competitive analysis, problem definition, opportunity assessment, prioritization, product strategy, and roadmap planning to understand where a product can create meaningful value.
Product definition & execution
I translate product direction into clear requirements, PRDs, user stories, acceptance criteria, success measures, testing plans, and launch considerations that help move work from an idea toward execution.
Prototyping & experimentation
I use user flows, wireframes, Figma prototypes, and AI-assisted building tools to make ideas tangible early. I use prototypes and experiments to test assumptions, gather feedback, and improve product direction before investing too heavily in a solution.
Data & product decisions
I define success measures early and use customer feedback, behavioural insights, experiment results, and available product data to understand what is happening, evaluate whether a solution is working, and inform what should happen next.
Why me
I bring more than one perspective to the product table.
My path into product management has not been one straight line, and I see that as one of my strengths.
I have worked close to customers, built and managed my own business, led community initiatives, worked in healthcare operations, and developed products across AI, B2B, logistics, and customer experience problems.
Those experiences have taught me to look at products from different angles.
I understand that a good idea still has to work for the person using it. That customer needs have to connect with business priorities. That operational realities can expose problems a roadmap does not show. And that sometimes the most important product work begins by asking a better question.
I bring curiosity, structure, ownership, and a willingness to get close to the work. I am comfortable learning unfamiliar domains, asking questions when something is unclear, and turning messy information into a direction people can act on.
I am still growing as a Product Manager, but I don't wait to know everything before I start learning, building, testing, and improving.
About
Curious by habit.
Rigorous by craft.
I'm an associate product manager with experience across product strategy, customer experience, healthcare operations and project leadership. I'm at my best when I can sit with users, find the real friction, and translate it into work the team is proud to ship.
I combine hands-on product training with years of managing customer relationships, operational workflows and community-focused initiatives. I care deeply about building user-centered products that solve real problems — and create measurable value for the business along the way.
If your team is looking for an Associate Product Manager who brings curiosity, ownership, and a user-first mindset to every product decision, I'd love to help build products that people genuinely value.
Beyond building products
Learning & Credentials.
I believe great Product Managers never stop learning. Alongside building products and solving problems, I intentionally invest in developing the skills that help me build better products, make stronger decisions, and create measurable impact.
Certifications
Skills earned, deliberately.
Each program was chosen to sharpen a specific muscle — strategy, discovery, delivery, or AI craft.
Product School
Artificial Intelligence Micro-Certification
Issued · July 2026
Core skills
- Generative AI
- AI for Product Management
- AI User Flow Design
- AI User Experience (UX)
- Machine Learning Evaluation
- Natural Language Processing (NLP)
Product School
Product Strategy Micro-Certification
Issued · April 2026
Core skills
- Product Roadmapping
- Objectives & Key Results (OKRs)
- Market Analysis
- Customer Research
- Product Strategy
- Strategic Prioritization
Great Learning
Product Management
Issued · April 2026
Core skills
- Product Lifecycle Management
- Product Discovery
- Product Planning
- User Story Writing
- Stakeholder Management
- Agile Product Development
Great Learning
Jira Project Management
Issued · March 2026
Core skills
- Jira Software
- Agile Project Management
- Sprint Planning
- Scrum
- Task Tracking
- Cross-functional Collaboration
Udemy
Customer Relationship Management
Issued · August 2024
Core skills
- Customer Relationship Management (CRM)
- Customer Experience (CX)
- Customer Retention
- Customer Communication
- Relationship Management
- Customer Lifecycle
BeTechified
Product Management
Issued · July 2024
Core skills
- Product Management Fundamentals
- Product Thinking
- Product Development
- Analytical Reasoning
- Product Strategy
- Problem Solving
Learning in progress
What I'm investing in next.
A deliberate push into analytics and data science — the foundation for evidence-led product work.
Google Data Analytics Professional Certificate
- Expected completion
- August 2026
Skills being developed
- Data Analysis
- SQL
- Tableau
- R Programming
- Data Visualization
- Data Cleaning
- Spreadsheet Analysis
- Business Insights
Why I'm taking it
Building stronger analytical skills to validate product decisions, understand user behaviour, measure product performance, and make data-informed product decisions.
DataFrik
Data Analytics
- Expected completion
- September 2026
Skills being developed
- Excel for Analytics
- SQL
- Power BI
- Dashboard Design
- Data Visualization
- Business Intelligence
- Product Metrics
- Exploratory Data Analysis
Why I'm taking it
To strengthen my practical analytics skills and become more confident working with product metrics, experimentation, dashboards, and business insights.
TS Academy
Data Science
- Duration
- 3 Months
- Expected completion
- December 2026
Skills being developed
- Python
- Machine Learning Fundamentals
- Statistical Analysis
- Predictive Analytics
- Data Wrangling
- Data Visualization
- AI Fundamentals
- Data Modelling
Why I'm taking it
To better understand machine learning concepts, predictive models, and how data science supports modern AI-powered products and product strategy.
Learning philosophy
Why I keep learning.
I don't pursue certifications simply to collect them.
Every course, project, and experiment is intentionally chosen to strengthen how I think, make product decisions, and solve meaningful problems. My goal is continuous growth as an Associate Product Manager who builds products grounded in user needs, evidence, and measurable impact.
A little more about me
Questions you might have.
A few quick answers about the kind of product work I enjoy, how I learn, how I collaborate, and what I am looking for next.
What kind of Product Manager are you?
I am most interested in understanding users, uncovering workflow problems, and turning what I learn into clear product decisions. I enjoy working across discovery and execution: researching a problem, identifying opportunities, prioritizing what matters, making ideas tangible, and learning from how people respond to what we build.
My experience has exposed me to AI-enabled products, B2B workflows, healthcare, logistics, and customer experience problems, and I am especially interested in products that simplify complexity and make difficult work easier.
What kinds of problems do you enjoy working on?
I am drawn to problems where something feels harder than it should be: fragmented workflows, scattered information, repeated manual work, difficult discovery experiences, or processes that force users to create their own workarounds.
I enjoy understanding why the problem exists, where the biggest friction is, and what change could create the most meaningful improvement for both the user and the business.
How do you approach a domain you haven't worked in before?
I start by learning how the domain works from the people closest to it.
I learn the language, understand the users and their workflows, review existing feedback and available data, study the market and alternatives, and make my assumptions visible. I ask questions early because I would rather clarify what I don't understand than build confidence around the wrong assumption.
I don't expect to become the domain expert overnight. My goal is to learn quickly enough to ask better questions and make increasingly better product decisions.
How do you work with cross-functional teams?
I believe good collaboration starts with shared clarity: What problem are we solving? Why does it matter? What do we know? What are we assuming? And what does success look like?
I value bringing different perspectives into the conversation early. Engineering understands constraints and possibilities that may change the solution. Design brings depth to how the experience works. Customer-facing and operational teams often see patterns that product data alone may miss.
My role is not to have every answer. It is to help the team understand the problem, make decisions with the best information available, and keep moving toward a meaningful outcome.
What role are you looking for next?
I am looking for a Product Manager, Associate Product Manager, Product Coordinator, or other product-focused opportunity where I can contribute to meaningful product work while continuing to grow through real ownership and close collaboration with users and cross-functional teams.
I am particularly interested in environments where I can contribute across product discovery, strategy, experimentation, and execution, especially teams solving complex workflow, AI-enabled, B2B, healthcare, or customer experience problems.
I am looking for a team where curiosity is valued, good questions are welcomed, and Product Managers are expected to understand problems deeply rather than simply manage a list of features.