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The QQ chart enables anyone to easily without any calculation to determine the probability value. The QQ Chart converts the quantitative probability value from the real-life data to the corresponding qualitative probability value set forth in the risk management document. The QQ Chart Tool can be used by variety of industries (Medical, Aerospace, Automotive manufacturers ) and risk management tools such as PHA (Preliminary Hazard Analysis) and FMEA (Failure Mode and Effect Analysis).
Adaptable to any industry
Criteria based on product complexity or quantity used. From low-risk mass-produced parts to high-risk low volume production.
Scalable Framework
Determine probability of thousands to millions of units in one chart.
Easy to Use​
No training or technical expertise needed.
Visually Intuitive
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For the first time ever! See how probability is determined.
The QQ chart is an easy and simple tool that can be used by anyone across different disciplines and industries.
About QQ Pie Chart
The QQ chart is a powerful tool that simplifies the conversion of the Quantitative probability into the Qualitative value. Whether applied in Preliminary Hazard Analysis (PHA), Failure Mode and Effect Analysis (FMEA), or other risk management tools. The QQ chart offers a quick, easy to use, and visually intuitive probability analysis for any industry.
FAQ
Probability of Failure
Probability (P) can be presented both Qualitatively and Quantitatively, the QQ chart enables the user to easily without any calculation, convert the quantitative probability values gathered from the real-life data to the corresponding qualitative probability value set forth in the risk management document. The QQ Chart can be used but not limited to PHA (Preliminary Hazard Analysis) and FMEA (Failure Mode and Effect Analysis).
How does it work?
Four Easy Steps!​
First, select the complexity level of your device. The complexity level can be determined based on the risk profile of the device or quantity of units produced each year. There are four risk or complexity levels (High, Medium, Moderate, Low). Second, provide the population sample size. The total number of units sold or used for the selected time period. Third, put in the total number of non-conforming products (complaints, production rejects). Fourth, Click the "Calculate" button.
Examples ​
The "Improbable" Principle
A Universal Framework for Analyzing Probability
When speaking about probabilities in the qualitative form, there is one commonality amongst all industries regardless of the risk level or total number of units sold per year. The common attribute is the “IMPROBABLE”, representing one (1) failure, complaint or nonconformity. The improbable serves as the base, the foundation in which the QQ Chart is built on. For products with low complexity in design or low risk profile that are manufactured and sold in millions (1,000,000) of unit per year. The "IMPROBABLE" risk criteria is 1 x 10 to the minus 6.
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Using the same fundamental principle of “IMPROBABLE” as the base, representing one failure or complaint. For products with moderate complexity in design or moderate risk profile that are manufactured and sold in hundreds of thousands (100,000) of units per year. The "IMPROBABLE" risk criteria is 1 X 10 to the minus 5.
​Similarly, following the same fundamental principle of “IMPROBABLE” which represents one failure or complaint. For devices with medium complexity in design or medium risk profile that are manufactured and sold in tens of thousands (10,000) of units per year. The "IMPROBABLE" risk criteria is 1 X 10 to the minus 4.
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Last but not least, for complex or high risk profile devices manufactured and sold in thousands (1000) of units per year. The "IMPROBABLE" risk criteria is 1 X 10 to the minus 3.
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Once the base has been established the other probability ranges are simply constructed one order of magnitude larger than the base. It’s important to realize that making risk-based decision solely based on the probabilities depicted in percentage could be erroneous. For instance, 1 nonconformity per 1,000,000 presented in percentage is 0.0001%. Similarly, 1 nonconformity in 10,000 would be 0.01%. In two separate industries, or two different types of products (single use tongue depressor and infusion pumps) both values represent “Improbable” yet depicted in percentages could make someone think otherwise. Therefore, it’s essential to focus on the number of failures, complaints or nonconformities instead of the percentages value alone.
Meet the Founder
Farshad Fahim is the inventor of the QQ Pie Chart, a testament to his innovative approach to problem-solving. Farshad is an accomplished Biomedical Engineer with extensive experience in the risk management, design control, and regulatory affairs for medical devices. With proven track record of implementing state of the art risk management practices in alignment with ISO 14971:2019. With a career spanning over 15 years, he has held key roles at leading healthcare companies such as Terumo Neuro, Covidien, Amgen, and Edwards Lifesciences. He holds a BS in Biomedical Engineering from UC Irvine and an MBA from National University
About QQ PIE CHART INC.
Dedicated to Standardizing Probability Determination
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At QQ Pie Chart Company, we revolutionize probability determination with our innovative QQ Chart Tool, designed to simplify probability determination without complex calculations. Our cutting-edge solution seamlessly converts real-life quantitative probability values into qualitative probability values.
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The QQ Chart Tool empower professionals to make informed decisions with confident and precision. By streamlining probability assessment, we help organizations improve reliability, and efficiency in their risk management process.
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At QQ Pie Chart Company, we are committed to innovation, precision, and making probability analysis accessible to everyone.