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Get Visio Decision Tree
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How to fill out the Visio Decision Tree online
The Visio Decision Tree is a valuable tool that assists users in selecting the appropriate contract based on risk classifications. This guide provides straightforward, step-by-step instructions to help you effectively complete the form online.
Follow the steps to successfully fill out the Visio Decision Tree.
- Click the ‘Get Form’ button to obtain the Visio Decision Tree and open it in the editor.
- Begin by identifying the risk level of the goods or services you are evaluating. Classify them as low, moderate, or high risk by assessing their value and complexity.
- For low risk items, confirm whether the value is under $100,000 or adheres to your agency's guidance. If this is true, continue through the low-risk flow.
- Assess whether the goods or services are highly specialized or complex, requiring a bespoke contract. If yes, proceed to the moderate risk flow.
- Determine if a liability cap of 1.5 times the contract value is sufficient. If not, gather additional input from your legal advisors.
- Evaluate if suppliers are providing performance guarantees or financial security and whether the current conditions protect the customer adequately.
- Review the suitability criteria for basic purchasing conditions. If the goods or services meet any 'not suitable' criteria, further steps will be needed to modify contract conditions.
- Conclude by selecting the appropriate type of contract based on your evaluations. Options include Basic Purchasing Conditions, General Contract Conditions, Comprehensive Contract Conditions, or other bespoke contracts.
- Once all fields are completed, ensure to save your changes, download, print, or share the finalized decision tree as needed.
Complete your documents online with confidence and clarity.
Microsoft Word and Edraw Max both can be used to create a decision tree. Microsoft Word, with its limited functionalities, can help to create a decision tree in Word. Edraw Max is a dedicated diagramming tool and offers a lot of functions that are essential to creating a high-level decision tree.
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