Abigail Akhigbe

Abigail Akhigbe Product Manager 🌍 Remote | Global Products view my full Portfolio Product Philosophy I approach product management as the discipline of turning ambiguity into clarity. Across technical and software-driven products, my focus has been on: ●​ Understanding the real problem before proposing solutions ●​ Aligning business goals, user needs, and engineering constraints ●​ Making thoughtful trade-offs that lead to execution, not just ideas ●​ I work best in complex environments where products require close collaboration between product, engineering, and stakeholders and where success depends on clear thinking, ownership, and delivery. What I Bring to a Team Strong product discovery and problem framing Clear product strategy and roadmap ownership Effective collaboration with engineers and designers Data-informed decision-making and prioritization Calm execution in fast-moving, high-ambiguity environments (Detailed case studies available in my full portfolio) Case Study 1: Referlytics — Product Manager Product: AI-powered platform connecting content creators with brands My Role: Owned product lifecycle end-to-end Problem Brands struggled to find relevant creators efficiently, while creators lacked access to structured brand opportunities. Early product direction was broad and unfocused. My Approach ●​ Conducted stakeholder and user discovery to clarify core value propositions ●​ Narrowed the product scope to focus on matching efficiency and trust ●​ Defined product roadmap and prioritized features based on user impact and feasibility ●​ Worked closely with engineering to translate requirements into executable tasks Key Decisions ●​ Prioritized core matching workflows over secondary features ●​ Introduced structured onboarding to improve data quality for AI matching Outcome ●​ Clearer product direction and roadmap alignment ●​ Improved collaboration between product and engineering ●​ Stronger positioning of the product for scale and iteration Case Study 2: Internal Platform & Process Optimization Context: Software-driven team delivering multiple parallel initiatives My Role: Product & process coordination across teams Problem Delivery timelines slipped due to unclear requirements, shifting priorities, and weak cross-team alignment. My Approach ●​ Introduced clearer product documentation and acceptance criteria ●​ Established a structured backlog and sprint planning rhythm ●​ Acted as the bridge between technical and non-technical stakeholders Key Decisions ●​ Reduced active initiatives to focus on highest-impact work ●​ Introduced regular review cycles to surface risks early Outcome ●​ Improved delivery predictability ●​ Better communication between product, engineering, and leadership ●​ Reduced rework and clearer ownership Case Study 3: Zero-to-One Product Thinking Context: Early-stage product ideation in a new domain Problem Stakeholders had ideas, but no shared understanding of the problem or success metrics. My Approach ●​ Led problem framing sessions to define user needs and constraints ●​ Mapped assumptions and risks before committing to solutions ●​ Defined MVP scope and success metrics Key Decisions ●​ Chose speed-to-learning over feature completeness ●​ Focused on validating core assumptions early Outcome ●​ Faster alignment across teams ●​ Clear foundation for future product iterations How I Add Value ●​ ●​ ●​ ●​ I’m most effective where products require: Translating complex systems into usable experiences Balancing speed, quality, and scalability Working closely with engineers to ship reliable, user-focused solutions Conceptual Case Study Designing a Trust-Critical Digital Infrastructure Product Type: Conceptual / Reconstructed Case Study Focus: Product strategy, decision-making, and execution under ambiguity Context Many modern digital products operate in high-risk environments where reliability, security, and transparency are essential for adoption. These systems often support financial transactions, automated workflows, or shared records across multiple stakeholders. In such environments, users are not only evaluating functionality they are evaluating trust. This case explores how I would approach the design of a trust-critical infrastructure product intended for business users who need confidence, clarity, and control when interacting with complex systems. Problem ●​ Target users face three recurring challenges: ●​ High perceived risk: Small system failures can result in significant financial or operational consequences. ●​ Low transparency: Users struggle to understand system behavior, status, and potential failure points. ●​ Complexity barriers: Tools are often designed for technical experts, leaving business users dependent on specialists. As a result, adoption slows, misuse increases, and confidence erodes. Constraints ●​ ●​ ●​ ●​ Strict requirements for security, reliability, and auditability Mixed user base (technical and non-technical stakeholders) Need to balance flexibility with safety and compliance Limited tolerance for failure or experimentation in production environments Product Goal Enable business teams to use complex infrastructure systems confidently, without needing deep technical expertise, while maintaining strong safety and reliability standards. Success would be measured not only by usage, but by user confidence and repeat adoption. Approach Discovery & Research ●​ Studied common failure modes in trust-critical systems and why users lose confidence ●​ Analyzed user workflows to identify where uncertainty and dependency on experts occurred ●​ Identified trust, visibility, and risk mitigation as core adoption drivers Problem Framing Rather than asking “How do we add more features?”, I framed the problem as: “How might we reduce user uncertainty and perceived risk while interacting with complex systems?” This reframing shifted focus from functionality to confidence and clarity. Key Product Decisions & Trade-offs 1. Safety Over Maximum Flexibility ●​ Prioritized guardrails, validation, and safe defaults ●​ Accepted reduced customization in exchange for lower risk and higher reliability 2. Transparency as a Core Feature ●​ Proposed clear system status indicators and risk signals ●​ Designed explanations that communicate system behavior in non-technical terms 3. Progressive Complexity ●​ Enabled advanced configuration only when users demonstrated readiness ●​ Reduced cognitive load for new or non-technical users Proposed Solution (Conceptual) ●​ Pre-validated workflows and templates for common use cases ●​ Real-time system status and risk indicators ●​ Clear audit visibility for actions and changes ●​ User-friendly dashboards translating technical states into business-level insights While this system could be implemented using various technologies, the product focus remains on trust, usability, and reliability, not the underlying stack. Success Metrics ●​ ●​ ●​ ●​ Reduction in user-reported errors or misconfigurations Increased self-service usage by non-technical users Higher repeat usage and long-term retention Improved user confidence scores during onboarding and ongoing use Key Learnings In trust-critical systems, clarity is a feature Reducing perceived risk often drives adoption more than adding functionality Product managers add the most value by translating complexity into confidence Why This Case Matters This case reflects how I approach products where: The cost of failure is high Users require both autonomy and safety Product success depends on thoughtful trade-offs and system-level thinking It demonstrates my ability to lead product strategy in complex, high-impact environments, regardless of industry or underlying technology. 🔗 View Full Portfolio