The project with MyEdMaster was a genuinely valuable experience, and we really appreciated the chance to work with a real-world behavior change dataset. The project gave us exposure to data interpretation, habit-tracking analysis, and the kinds of deliverables that mimic professional environments — like creating a fully developed presentation supported by analytical insights. ✅ What Went Well 🔬 Real-World Experience We enjoyed getting to apply what we’ve learned in class to something that had real behavior patterns behind it. It was both fascinating and rewarding to see participants’ choices visualized over time, especially across the two distinct approaches of “Baby Steps” vs. “Big Steps.” 🎨 Freedom to Explore John gave us the flexibility to make the project our own — whether that was how we structured the data analysis or the charts we chose to include in the final deck. That creative space helped us develop our own process and bring forward some compelling insights. 📊 Presentation-Style Deliverables The work felt relevant and applicable. Putting together real charts, summarizing trends, and explaining them clearly during a professional-style presentation was a great skill-building opportunity — something we’ll definitely take with us. ⚙️ Where Things Could Be Improved 📅 Early Structure & Expectations At the start, we found ourselves unsure how to pace the project or visualize what the final deliverable should look like. A more structured overview (like a sample timeline, rough slide structure, or data example) might’ve helped us hit the ground running with more clarity. 📁 Data Entry Consistency When collecting participant submissions, we noticed some confusion around formatting — like name inconsistencies or mixed use of yes/no vs. numbers. A guided entry form or a simple template with required fields could help improve data quality and reduce the time needed to clean and organize it later. 👥 Clarifying Team Roles Since there was no built-in project structure for dividing responsibilities, things like who would handle charts, analysis, or slides were left open-ended. A brief suggestion on role distribution (e.g., Data Lead, Visual Lead, Presentation Lead) could encourage more equal team involvement. ✅ Midpoint Check-In Suggestion A quick feedback checkpoint halfway through the project — just to make sure the team’s data formatting and visualization approach is on track — would help catch issues early before the final push. Final Reflection This project taught us a lot — not just about health behavior trends, but also about how to organize, interpret, and clearly present a complex dataset to a broader audience. These are skills we’ll be carrying forward into future classes, internships, and careers. We’re especially proud of how the data came together to tell a story, and we hope the insights we shared (like the contrast in short-term vs. long-term gains between Baby Steps and Big Steps) help inform how future adherence research might be structured or explored. We thank John for this opportunity and for being a supportive project partner!