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Conduct a research analysis on the relationship between sleep duration and productivity for software engineers, with focus on optimizing work performance through sleep decisions. Decision Context: You are restructuring your daily routine to maximize productivity as a software engineer. The core question is whether increasing sleep duration yields net productivity gains when accounting for code quality, debugging efficiency, and creative problem-solving ability. Scope: - Focus: Knowledge workers and software engineers specifically - Sleep duration range: 5-9 hours per night and how each band affects work output - Performance metrics: code quality metrics, bug introduction rates, creative problem-solving speed, focus/flow state maintenance - Timeframe: Research from 2018-2026 - Exclude: Sleep disorders, medical interventions, pharmaceutical solutions Evidence Standards: - HIGH confidence: Peer-reviewed sleep neuroscience studies, longitudinal productivity research - MEDIUM confidence: Meta-analyses from sleep research institutions, expert consensus - LOW confidence: Anecdotal productivity hacks, individual case studies Output Format: - Executive summary with key findings (400 words) - Quantified findings where available: percentage productivity gains/losses per additional hour of sleep - Actionable decision framework considering project complexity and deadline pressure