Define and integrate room ranking factors
Design a Room-Ranking System for Meeting Requests
Context
You are building a service that assigns conference rooms to meeting requests across multiple buildings. Each meeting request includes time, expected attendees, duration, equipment needs, and location preferences. Rooms have capacities, equipment, locations, and booked/free time blocks. The goal is to rank eligible rooms and pick the best one.
Task
Propose a ranking system that:
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Identifies and justifies priority factors, including (but not limited to):
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Room usage count (load balancing)
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Historical meeting duration fit
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Capacity match
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Equipment availability
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Proximity
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Combines these factors into a scoring function with clear normalization and weighting.
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Handles cold-start scenarios (new rooms or new meeting types) and tie-breaking.
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Describes how to validate and tune the weights via an experiment (e.g., A/B test), including metrics and guardrails.
Constraints & Assumptions
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Preserve the scope, facts, inputs, and requested outputs from the prompt above.
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If the prompt leaves a detail unspecified, state a reasonable assumption before relying on it.
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Keep the answer interview-ready: concise enough to present, but concrete enough to implement or evaluate.
Clarifying Questions to Ask
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Clarify the business objective, unit of analysis, time window, exposure definition, and primary metric.
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State assumptions about instrumentation, randomization, sample size, and data quality.
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Separate descriptive analysis from causal claims.
What a Strong Answer Covers
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A metric framework with primary, guardrail, and diagnostic metrics.
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A credible analysis or experiment design with clear assumptions and bias checks.
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SQL/statistical logic for segmentation, variance, confidence, and data validation where relevant.
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An actionable recommendation that explains trade-offs and next steps.
Follow-up Questions
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What sanity checks would you run before trusting the result?
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How would you handle novelty effects, seasonality, or selection bias?
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What decision would you make if metrics disagree?