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MuSR / Given the story, how would you uniquely allocate each person to make sure both…

Problem

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question

Given the story, how would you uniquely allocate each person to make sure both tasks are accomplished efficiently?

narrative

As the pivotal weather project loomed, the thrill of the unknown reverberated through the sterile confines of our laboratory. The mission was clear - to decipher the enigma of the weather, a task as unpredictable as the elements themselves. My challenge lay in the allocation of two critical tasks - Gathering Atmospheric Data and Analyzing/Data Forecast - to my uniquely talented trio: Aaron, Emily, and Rachel.

Aaron, quick-witted as he was, had a work history graced by fields where the subtle art of data analysis bore negligible weight. His acumen seldom met the meticulous task of identifying the right pivots of data collection such as adequate locations and times. With a seemingly indomitable belief in his methods, his ears often turned deaf to Rachel's instructions. Worse yet, his insistence on sticking with initial hypotheses, despite mounting counter-evidence, could often be unproductive.

When it came to Emily and Rachel, alas, their relationship with Aaron wasn't a tranquil sea. Emily's novel ideas often met a cold shoulder from Aaron, which left her visibly upset and frustrated. On the contrasting bright side, Emily and Rachel exhibited a striking symphony. They not only admired each other's work ethic but also showed an impressive knack to stitch high-quality reports when pooled together on projects. 

One however, could not ignore Emily's blatant lack of experience with weather balloons and atmospheric instruments, which subsequently bore inconsistencies in her data. However, her humility masked her shortcomings, allowing her to embrace her problems and ask for assistance. Riding on the back of her laurels, she held the crown for her adeptness in interpreting data back in her meteorology class.

Rachel, the quieter of the three, preferred silence over conflicts. She neither boiled her problems in public nor bore any confrontation. Yet her discomfort in varying weather conditions and her propensity to often misplace her instruments had begun to raise eyebrows. Being overwhelmed easily when hounded by multiple tasks and struggling with interpreting complex data sets, Rachel had her share of duels to fight.

As the sun dipped below the horizon, and the night's lullabies began, I contemplated my assignment - to assign them to 'Gathering Atmospheric Data' and 'Analyzing/Data Forecast'. Judging by their traits, limitations, and synergies within the team, I knew I couldn’t have asked for a more intriguing puzzle to solve than this. Regardless of the pursuits, I was certain of a storm of learning in the imminent weather expedition.

choices

  • Gathering Atmospheric Data: Aaron, Analyzing/Data Forecast: Emily and Rachel
  • Gathering Atmospheric Data: Emily, Analyzing/Data Forecast: Aaron and Rachel
  • Gathering Atmospheric Data: Rachel, Analyzing/Data Forecast: Aaron and Emily

Discussion

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Source and history

task_id
4ba65a70-0f33-579c-ad3d-840eb9a80edb
task_key
default--team~5fallocation--4ba65a70-0f33-579c-ad3d-840eb9a80edb
task_revision_id
1
config / split
default / team_allocation

Official source

initial import