Project Overview:
At Cegid Retail, data was being collected by multiple teams—sales, CSM, marketing, product, and professional services—but silos prevented alignment. Each department had its own metrics, tools, and interpretations, leading to communication gaps, outdated ways of working, and missed opportunities to understand real user behavior. The Data Alignment project was launched to bring coherence across departments, establish shared KPIs, and create a stronger connection between user needs, business goals, and product evolution.
What I did:
- Led the cross-department research effort, consolidating data types (structured, behavioral, undocumented) into a shared framework.
- Facilitated workshops with stakeholders from product, sales, CSM, and marketing to identify misalignments and build collaboration hypotheses.
- Designed the Data Alignment framework: a structure to track business, diagnostic, behavioral, and user experience KPIs consistently.
- Proposed and documented shared adoption metrics (e.g., task completion, time-to-success, feature usage, referrals) to complement business KPIs like MRR, churn, and CLV.
- Developed a roadmap for ongoing UX research and usability testing to ensure data-driven iterations every 6–8 months.