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Prioritization and Stakeholder Alignment Questions

Covers frameworks and practices for prioritizing work, aligning stakeholders, and allocating limited resources across features projects and operational needs. Topics include impact versus effort and weighted scoring models, RICE and similar frameworks, sequencing dependent work, handling competing or conflicting priorities, negotiating trade offs with business and engineering partners, creating governance and escalation paths, communicating deprioritization decisions, and measuring outcomes to validate prioritization. Senior assessments include strategic resource allocation across teams and portfolios and techniques for building cross functional consensus.

EasyTechnical
0 practiced
As a BI analyst delivering dashboards, what key metrics would you track to determine whether a dashboard is successful after rollout? Provide a balanced list of quantitative and qualitative metrics (e.g., unique users, active users, query performance, time-to-insight, number of decisions informed, error/accuracy incidents) and describe how you'd instrument and report these KPIs to stakeholders.
MediumTechnical
0 practiced
Calculate RICE scores for three BI requests with these inputs: Request A: reach=200 users/month, impact=3 (scale 1-5), confidence=0.8, effort=40 hours; Request B: reach=50, impact=5, confidence=0.6, effort=20; Request C: reach=1000, impact=1, confidence=0.9, effort=10. Show calculations (RICE score = Reach * Impact * Confidence / Effort) and explain which two you would prioritize and why in a BI context, considering possible strategic overrides.
EasyTechnical
0 practiced
For two proposed high-priority dashboards—(A) a finance operational P&L dashboard used by FP&A and executives, and (B) a marketing attribution dashboard used by growth and campaign teams—list the primary and secondary stakeholders you would engage to define requirements and prioritize engineering resources. Explain differences in SLA, security requirements, data sources, and validation steps between the two dashboards.
HardTechnical
0 practiced
Design a method to quantify a subjective criterion like 'strategic alignment' within your prioritization model so it is consistent and hard to game. Describe rubric creation (discrete indicators for each score level), reviewer calibration workshops, inter-rater reliability checks (e.g., Cohen's kappa), ongoing recalibration methods based on outcome correlation, and governance to prevent favoritism.
MediumTechnical
0 practiced
Describe a practical post-implementation review (PIR) process for BI projects that measures success and captures learnings. Include recommended timeline (e.g., 30/60/90 days), stakeholders to involve, data to collect (adoption, accuracy incidents, business outcomes), and how PIR findings should influence future prioritization decisions and scoring weights.

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