Marie's Problem Solving Process Framework
My problem-solving framework for product design and management combines Design Thinking and Agile methodologies, focusing on aligning user needs with business goals. Empathy is at the core of how I define and solve problems, as I strive to deeply understand the user’s perspective, their needs, and their pain points. This involves analyzing business KPIs, communicating with stakeholders, and leveraging CS team feedback and VOC resources to uncover the underlying “why” behind each problem.
During the discovery and problem-solving phases, I foster transparent collaboration with cross-functional teams to align on values and user needs while identifying technical and business constraints early. I prioritize problems by referring to product roadmaps, MVP definitions, and frameworks such as effort-impact and good-to-have vs. must-have to make effective trade-offs.
I rely on tools like Figma and FigJam for workshop facilitation, rapid prototyping, and wireframing, as well as A/B testing. For user validation, I use platforms such as Askable and UserTesting.com. Rapid prototyping helps me visually communicate ideas, while informal testing, user interviews, and workshops allow me to gather and incorporate feedback effectively. I manage projects in Jira, ensuring requirements are well-documented and updated for sprint execution. From ideation to post-launch, I stay deeply involved in the end-to-end process, maintaining a feedback loop to continuously optimize the user experience and address emerging needs.
By combining empathy-driven problem definition with data-driven decision-making, my framework ensures scalable solutions that deliver meaningful value to both users and the business.
Reference: Nielsen Norman Group
