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troubleshooting flowcharts

Troubleshooting Flowcharts


Fault Finding Troubleshooting Flowcharts for Online Diagnostics

Fault finding diagnostic troubleshooting flow charts and troubleshooting decision trees provide a convenient way to capture and convey the steps required to help identify and repair faults in a systematic and methodical way.


VisiRule helps you capture fault diagnosic knowledge in a visual model which can be used build an executable troubleshooting flowchart. You can validate and test the logic of the decision flow chart and deliver a self-service interactive troubleshooting guide. Both qualified and unqualified people can use this to diagnose faults and make repairs.

Self-service Troubleshooting Fault-Finding

By deploying fault finding troubleshooting flow chart guides as self-service applications, you can empower your staff and field agents, as well as improve your customer service, in a controlled and recorded way. You can deploy form-based web apps or deliver client side HTML/JS apps or deploy intelligent conversational chatbots.


Flow Chart Decision Tree Software

VisiRule delivers fault finding problem resolution direct to the person who needs help on their own personal device using a dynamic sequence of interconnected questions.

Each answer helps determine the next question. Advanced calculations can be performed and complex logic evaluated. Pictures and links to videos can be incorporated to provide explanations and guidance. Dynamic reports can be generated.

Water Damage to compressor troubleshooting flowchart expert system.webp

Benefits of VisiRule Interactive Diagnostic Flow Charts

  • reduce the time to problem resolution

  • reduce the accuracy of problem resolution

  • reduce the cost of providing informed product fault finding support

  • capture the faults logged and symptoms found

  • deliver informed guidance on mobile devices

  • provide links to the very latest product information

Self-Service Troubleshooting Flowcharts

Self-service troubleshooting diagnostic flow charts provide a practical way of improving customer satisfaction. They can reduce the strain and workload on your own experts. Mobile technology provides an ideal platform for delivering self-help diagnostic expert systems in a convenient and cost-effective way. VisiRule can automate software for decision trees for help-desk agents and support staff to ensure that customers always receive the correct response.

Intelligent Fault Finding: Detection & Resolution

Fault finding, or troubleshooting diagnostics, can be best captured and represented diagrammatically. Using VisiRule Author, you simply draw the fault finding flow chart and it will create an interactive question and answer session which queries the nature of the symptoms present in a structured way and directs users to a suitable solution.

You can read an interesting article entitled "What are the advantages and disadvantages of using online tools to create troubleshooting flowcharts?"

Prescriptive-Diagnostics vs predictive Analytics

Decision Tree Prescriptive Analytics

VisiRule can be used for the following categories of analytics:

  • Descriptive Analytics
    Model output to provide insight into the past and answer: “What happened?”

  • Diagnostic Analytics
    Mine and model insight into the past and answer: “Why, How did it happen?”

  • Predictive Analytics
    Use forecasting rules to understand the future and answer: “What may happen next?”

  • Prescriptive Analytics
    Capture advice on possible outcomes and answer: “What can we do about it?”


Diagnostic Fault Finding using Troubleshooting Flow Charts

You can map out the logic needed to diagnose faults using a diagnostic fault finding flow chart or flowchart. A fault finding diagnostic flow chart provides an excellent way to capture and share the process logic that can identify the root cause and most suitable resolution. Decision tree logic flowcharts provide a natural way to direct the troubleshooting investigation.

Interactive Online Troubleshooting Guides

Questions can have links to help files, manuals, KBs, images, pictures and other useful material. Users are only ever asked questions which are relevant and will contribute to an appropriate solution being found. Using the browser, they can go back and change their mind, and see what other questions and conclusions might be considered relevant. All of this makes for a rich, interactive walk-through of the online troubleshooting process.

This works as both proactive and prescriptive maintenance.


What are Diagnostic Flow Charts?

A diagnostic flow chart is a diagram depicting a process, a system or a computer algorithm. It is a diagrammatic representation of the solution to a given problem but, more importantly, it provides a breakdown of the essential steps to solving the problem. VisiRule allows you to rapidly turn troubleshooting flowcharts into an online troushooting guide to enable staff and customers tap into the expert knowledge of your most seniors troubleshooters.

Why Diagnostic Expert Systems?

Expert systems have been widely used to help find faults in industrial and electrical equipment as well as deliver diagnostic advice in areas such as healthcare and customer support. Expert systems provide a systematic way to reason, extract, store and manage the expertise and know-how of senior personnel, engineers and management. This knowledge can then be used and shared with a wider range of less experienced or less specialist staff, and/or provided directly to consumers using simple interactive question and answer sessions.


How Can Diagnostic Expert Systems be Integrated?

Expert systems can interface to modern equipment and data feeds such as SCADA systems, PLCs and industrial controllers. Modern sensor technology and vibration data coupled with wireless or wired networks means that the intelligent remote monitoring and diagnosing of machinery is now viable. Intelligent diagnostic systems can shorten system downtime by helping identify worn parts and likely causes of failure BEFORE a part fails.


Knowledge Retention

Valuable knowledge can be shared and retained, even when staff members retire or leave. Prolonging the life of old equipment and being able to provide accurate and effective maintenance support systems can be aided greatly by VisiRule.

Decision Graphs - More Powerful than Decision Trees

By allowing the merging of divergent branches within the diagnostic trees, VisiRule charts support paths which join up, so reducing the unnecessary duplication of sub-trees. This 'convergence' provides a far more compact representation than traditional decision trees which are prone to 'exponential explosion'.

troubleshooting flow chart software

VisiRule Troubleshooting Guide Features

Compound Logic

VisiRule supports compound expressions of arbitrary complexity as well as simple expressions. VisiRule also supports delayed logic where you refer back explicitly to a previous answer to a previous question.

Explainable AI Reasoning

Explanations can be attached to each step of the diagnosis to help guide and aid the user, and also to provide a way of explaining how a conclusion was reached.

Pictures, Videos and Links

Explanations can be in the form of text, pictures, images, videos and links to relevant web pages. Each question in VisiRule has a slot for an explanation.

Conversation Transcript

A record of each user session containing all the answers given, and any computations calculated, is made available along with the final conclusion reached for subsequent use. This can be emailed to the relevant department.

ChatBot Delivery

Your VisiRule chart can be used to generate an intelligent diagnostic chatbot which can guide users to a solution using a sequence of targeted questions.

VisiRule Analytics

VisiRule records each and every user sessions and uses these logs to produce intelligent visual analytics. Visual Analytics helps provide insight into popular paths and frequently occurring problems, and spot emergent patterns. Understanding the relationship between different clusters of answers and faults detected helps you understand better exactly how your charts are being used. By capturing user feedback, and seeing which routes are most popular, it is possible to produce self-service systems which actually improve over time.

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