How might we design and deliver new digital experiences that are intuitive and technically feasible across a large consumer ecosystem?
During my product management internship at Secta9ine (SPC Group), I worked on the development of a new end-to-end generative-AI product experience across SPC Group’s major F&B mobile platforms, Happy Point and Happy Order. As the PM intern on the AI Development Team, I collaborated with engineers, designers, data analysts, and executive stakeholders to translate user needs into actionable requirements and align cross-functional teams throughout the development cycle. This experience strengthened my communication, product thinking, and cross-functional collaboration skills, while allowing me to contribute meaningfully to a project supporting large-scale digital experiences. While the specifics of my work are under NDA, my main contributions involved:
Synthesizing user research to identify core needs, pain points, and opportunity areas within the experience
Drafting PRDs and defining end-to-end user flows to clarify requirements and support alignment across engineering, design, and business teams
Supporting feasibility analysis and MVP scoping by evaluating technical, operational, and business constraints
Contributing to early UX exploration and iteration cycles through structured documentation, flow mapping, and feedback loops
Creating and automating a firm-wide AI news newsletter, helping the AI Development Team keep the broader organization informed on recent advancements in AI
Discovery & Research
I began by synthesizing user research to surface the core behaviors, motivations, and pain points shaping our problem space. This helped establish clarity around who we were designing for and what needs our solution had to address.
User Experience Mapping
I mapped the current journey end-to-end to visualize friction points, opportunity areas, and the broader system context. This became the foundation for aligning teams on where the product could deliver the most value.
Requirements & Structure
Using insights and research from discovery, I wrote PRDs, defined user flows, and supported feasibility and scoping conversations across engineering and design. These artifacts helped teams maintain clarity as we moved through agile sprints and iteration cycles.
Cross-Functional Alignment
I worked closely with design, engineering, data, and operations teams to refine requirements, discuss constraints, and ensure the experience was both technically feasible and scalable for real-world deployment.
At the end of my internship, I presented my work to senior product, engineering, and business leaders, sharing key insights that shaped the project’s direction and improved alignment across teams.
Communication creates clarity.
When I held stakeholder alignment meetings, I was talking to people from completely different backgrounds (marketing, engineering, operations, etc). Marketing teams cared about the emotional impact and how users would really view the product, while engineering cared about technical feasibility and realistic constraints. Sometimes those perspectives clashed, and I realized how important it is to align everyone early. Getting people on the same page isn’t optional. It’s the only way a product actually moves forward.
Iteration drives great product decisions.
I don’t think there was a single task during this internship that I finished in one go. I kept iterating on the same PRD I wrote at the very start because ideas were constantly evolving. At first it felt repetitive, but I eventually understood that this is how great products get built: refining, rethinking, and revisiting until everything makes sense.
Using AI to its maximum.
Since I was on the AI Development Team, my manager would call me into his office, even for just five minutes, to try out a new AI tool. I tested automation tools like n8n and coding tools like Lovable, Replit, v0, and more. It made me realize how accessible these technologies really are, and how much faster and better we can work when we actually use them.
