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The difference between symptom and root cause

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In the corporate world, it's common to treat the effects and ignore the origins. When productivity drops, the immediate focus is on training the team, and even changing the team altogether. When customers complain, the idea is to improve customer service. But what if the real problem lies in the process behind these situations? 

Poorly designed processes generate rework, delays, and noise between departments. Worse, they create the illusion that the problem lies with the people or tools, when in reality the workflow is distorted. 

A symptom is what appears. A cause is what sustains the symptom. An effective process diagnosis can reveal structural inefficiencies that are not visible in day-to-day operations. 

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Three classic examples of misdiagnosed problems.

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1. High turnover in an operational area.

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Immediate solution implemented: internal engagement program.  

Actual diagnosis: excessively manual and exhausting process, lacking automation or standardization. 

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2. Complaints about delays in delivery to the end customer.

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Immediate solution implemented: more hiring to execute the deliveries. 

Real diagnosis: misalignment of deadlines between the purchasing and production areas. 

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3. Accumulation of tasks in the legal department

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Immediate solution implemented: hiring more lawyers. 

Real diagnosis: lack of filtering and categorization of requests, which could be resolved with simple workflows or automated service. 

These examples show how a technical perspective on processes completely changes the nature of the solution. 

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Get oneprocess evaluation with experts 

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If you suspect you're constantly trying to bail water with a sieve or putting out fires, perhaps the problem lies in the invisible structure of your processes. 

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Our team

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performs customized operational diagnostics, with visual mapping, identification of bottlenecks, and practical recommendations for improvement focusing on agility, scalability, and reduction of rework. 

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Schedule a conversation and find out if you're really solving the right problem. 

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