Describe a time when you had to pivot your data science roadmap because of shifting business priorities or product feedback. What steps did you take to re-align the team, re-prioritize work, and communicate the change to stakeholders?

At my last role I owned a six-month roadmap for a collaborative design recommendation feature. Three weeks in, executive priorities shifted toward reducing onboarding churn after user research showed a 22% drop-off in the first 7 days. I paused nonessential experiments (about 60% of planned work), pulled the four-person model team and two PMs into a two-week rapid discovery, and reframed objectives to a 30-day MVP that targeted onboarding flow improvements. We used a lightweight RICE scoring to re-prioritize, redistributed engineers across two 1-week sprints, and set clear OKRs: reduce seven-day churn by 15% and increase new-user activation by 10%. I ran weekly stakeholder demos and a mid-sprint sync; within six weeks we shipped the MVP and observed a 17% uplift in activation and a 12% reduction in churn.