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  • What is Quality Control Planning in Project & Business Management?

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    What if a company brings about an economic cellphone being blindfolded to its quality?


    On the flip side, there is another phone manufacturer who underscores its product quality, but his product is a little more expensive.  Certainly, the smart customers will opt for the cellphones from the latter manufacturer.  It’s about quality, after all.


    Well said by Gucci, “Quality is remembered long after the price is forgotten.”


    It’s true in every sense. Despite being expensive, the smart buyers tend to buy from a brand or reputed sellers. This is why the brand outshines. It yields a high ROI because of the loyalty, which builds up automatically through quality delivery over a period of time. Therefore, the entrepreneur should be more worried about the quality. 


    So! How does it come?


    A well-defined quality control plan in the project management can introduce it with a little bit of efforts. “What is it”-Let’s understand….. 


    What is a quality control plan?  


    Project Management


    ‘Quality’ stands for evaluating whether or not the product or service meets a requisite standard, pertaining to it. It’s a key to connect with prospects and build a network of clientele. The profit margin begins to multiply ever since the clientele built up.


    Almost all brands and business tycoons work upon a quality control plan. It ensures that everything (process, system and production) is within the scope of its planning. This is why ISO 9000:2015 was announced for domestic and outsourcing organisations.


    Let’s go through its definition of “Quality Control Plan”.


    It states that being a part of quality management, the quality control should be dedicated to fulfilling quality requirements. It means that the entrepreneur ought to have preset criteria, wherein all quality standards should be clearly defined.     


    Let’s get through an example to catch its more transparent view. A company entered an agreement to outsource data entry solutions to the UK-based client.  It randomly started working, which grounded up several errors. Upon getting a harsh review in CAPA (i.e. Corrective Action/Preventive Action) its quality team came into play. As a result, the quality of data entry leapt from 50 to 90 percent. The quality plan brought about this transformation.


    On the contrary, there is a huge tendency to carry out risks without this plan.     


    What is the main purpose of the quality control plan in a project?

    The quality plan is the method of project management. It is carried out to inspect and verify the products or services. Thereby, the quality analyst focuses on monitoring and recording outputs after the quality check. This assessment reveals A to Z about the performance. Ultimately, the performance analysis spotlights weaknesses and strengths to derive groundbreaking intelligence.


    All in all, it benefits through:

    • Validating deliverables
    • Ensuring that all requirements would meet as per specifications
    • Determining the key performance indicators (KPIs) and the least performance indicators
    • Recommending the best utilization of the KPIs and solutions to push up the low performers.


    This is how the project quality metrics are collated to create quality control measurements and validate alterations. Finally, the deliverables are sifted through verification with the scope of performance information and amendments.


    How do you ensure the project’s quality?


    The appropriate and proper use of the right inputs delivers quality. Therefore, it is important to have all these:·        


    •         Start to finish project management plan, including background, need, scope, activities and important dates
    •          Organisational hierarchy, detailing necessary team members and external vendors
    •          Clearly defined responsibility and authentication corresponding to the work profile
    •          A list of qualified suppliers and their standards, like ISO
    •          Quality metrics or parameters
    •          Acceptance criteria
    •          Quality checklist
    •          Work performance data
    •          Approved change requests
    •          Deliverables
    •          Feedback mechanism (internal and external)
    •          Procedure
    •          Audits
    •          Training (job-centric)
    •          CAPA (Corrective Actions/ Preventive Actions)
    •          Notification & references


    Quality Control Vs Quality Assurance



    Quality Control

    Quality Assurance

    ISO Specification

    Fulfills quality requirements

    Provides the confidence to meet the quality


    Activities to determine defects and ensure quality in the output or product

    Activities to ensure quality in the processes


    To identify and correct flaws after its completion, relying on reactive process.

    To prevent defects through proactive quality process during its occurrence.


    Just to identify flaws after the product is developed and delivered.

    Improve processes and evaluations when the product is being developed.


    Deploy tools and techniques to find and eliminate root causes of quality defects for building loyalty.

    Periodic conformance audits of operations to set up a quality management system and assessment for achieving adequacy.


    Carry out activities and techniques to achieve and maintain the quality, process and services.

    Take preventive measures through planning and systematic activities during documentation of Failure Mode and Effect Analysis (FMEA), Standard Operating Procedure (SOP), Control Plan and Work Introduction.


    A specific team (Quality analysis team) takes the charge to identify defects after production.

    Every individual in the hierarchy of the project management is responsible.


    Software testing and data validation

    Data verification


    Employ statistical tools and techniques to detect faults in the finished products for Statistical Quality Control (SQC).

    Employ statistical tools and techniques to ensure quality during processes (process inputs and operational parameters) for Statistical Process Control (SPC).

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