Describe how you prioritize tasks when multiple high‑impact features are requested simultaneously. What framework do you use to decide which to tackle first?

Use the RICE framework: Reach, Impact, Confidence, Effort. 1) List all tasks. 2) Estimate each RICE component. 3) Compute RICE score (Reach × Impact × Confidence ÷ Effort). 4) Rank tasks by score. 5) Communicate the prioritization to stakeholders and adjust based on feedback. 6) Re‑evaluate after each sprint. This systematic, data‑driven approach balances urgency with resource constraints.

When faced with multiple high‑impact feature requests, I systematically apply the RICE scoring model to ensure objective prioritization. First, I compile a comprehensive list of all tasks and gather input from product owners, designers, and engineers to estimate Reach, Impact, Confidence, and Effort. I then calculate each task’s RICE score, ranking them from highest to lowest. I present the ranked list to stakeholders, highlighting the rationale and potential trade‑offs. This transparent process not only aligns the team around data‑driven decisions but also facilitates agile iteration, as we can re‑score and adjust priorities at the end of each sprint. By consistently using RICE, I maintain focus on delivering the greatest value while managing resource constraints and stakeholder expectations.