The assessment consisted of two distinct phases:

1. Technical Problem Solving: Two coding tasks to be completed within a 90-minute timeframe.
2. Work Situation Simulation: A series of multiple-choice questions designed to model real-world scenarios, taking approximately 5-15 minutes.

Both phases were evidently tailored to reflect the company's operational environment and appeared to closely mirror actual job responsibilities.

Coding Tasks

The first problem seemed relatively straightforward, while the second presented a more significant challenge. Notably, success criteria were not explicitly provided.

Time allocation was a critical factor. With 90 minutes for two problems and no interviewer present, time management became crucial. The problem statements were extensive, often spanning two or more pages, including examples. A realistic breakdown might allocate 10 minutes for thorough reading, another 10 for comprehension and strategizing, leaving approximately 25 minutes per problem for coding (15 minutes), verification (2 minutes), and refinement (8 minutes).

A discrepancy worth noting was the availability of language versions. While newer versions were promised, only older versions were accessible during the actual assessment. This inconsistency could potentially cost valuable time if a candidate uses features not supported in the available version.

The problem descriptions occasionally incorporated experimental logic and definition-by-example approaches, which could lead to multiple interpretations. The lack of an interviewer or comprehensive test cases made it challenging to confirm the correct interpretation within the given timeframe. Ambiguities in the examples could result in divergent solutions, and intuitive approaches might not align with the hidden test scenarios.

These factors collectively made it improbable to achieve full compilation, execution, and passing of all tests for both problems within the allotted time. A more realistic outcome would be completing the first task with partial test coverage and making initial progress on the second.

Major time sinks included:

• Interpreting conditions and examples, then aligning code to fit that interpretation.
• Iterative adjustments to pass unknown test scenarios across multiple interpretations.

The Work Situation Simulation Portion

This appeared to focus on evaluating decision-making processes regarding tool selection, solution approaches, priority setting, and activity choices.

The questions seemed designed to gauge teamwork style, decision-making methodology, and resource utilization capabilities.

This section likely aims to identify the candidate's potential role, competencies, and decision-making capacity within project workflows.

Conclusion

While the assessment effectively simulates real-world scenarios, the time constraints and ambiguities in the coding section may not provide an optimal representation of a candidate's true capabilities.

The situational judgment test, however, offers valuable insights into a candidate's professional approach and team dynamics.

The assessment appears to be designed primarily for data collection on candidate behavior in work processes and/or as an automated screening mechanism. However, the execution of the assessment itself seems to lack careful consideration. No feedback was provided.

The absence of the promised language versions suggests a lack of technical oversight during the process. It seems improbable that individual code submissions will receive thorough human review, regardless of task completion levels.

Subjectively, the purpose of this assessment feels more aligned with maintaining the company's reputation, differentiating from competitors, serving as a form of advertisement, and collecting specific statistical data, rather than genuinely evaluating a candidate's skills.

The format and structure of the assessment seem to favor competitive programmers and automation specialists over industry-specific or specialized developers. This bias may not accurately represent the skill set required for the actual role or the company's day-to-day technical challenges.

It's worth noting that these observations are based on my personal experience and may not reflect the company's intentions or the experiences of other candidates.

What instrument do you suggest to work with large messages?