Test Cases and Defect Analysis for Prototyping and Interaction Design: Workflow Orchestration

Core data for this category comes from documents including interactive prototypes, page flowcharts, component descriptions, and review records. Data

What the data for this category looks like

Core data for this category comes from documents including interactive prototypes, page flowcharts, component descriptions, and review records. Data sources include Figma or Axure files, internal team design systems, user feedback, and usability test records. The data update frequency is typically weekly or per version, and is maintained by product designers, interaction designers, and front-end product teams. Document structures take page operation paths, component attributes, and review comments as core fields. There is no unified fixed unit, and data is stored classified by dimensions such as prototype pages and review nodes.

What constraints these characteristics impose on workflow orchestration

Category data centers on interactive prototypes and review records, which must be automatically pulled and associated via workflows. As such, workflow orchestration must adapt to import formats from external design tools such as Figma or Axure. Data updates occur weekly or per version, so workflows must support scheduled triggering or triggering based on version updates to avoid reprocessing old data. Core documents focus on page operation paths, component attributes, and review comments. Workflows must specifically extract fields such as abnormal scenarios and review modification items to meet core test case and defect analysis needs. Data association must also cover the full link of design reviews and defect analysis. This ensures consistency between test cases and defect information, and reduces misalignment in development understanding.

Configuration Settings

Configuration ItemRecommended ApproachBasis for This Approach
Trigger TimingTrigger when a prototype version is updated, trigger at a fixed weekly time, or trigger for single prototype files no larger than 1000 MBThe category data update frequency is weekly or per version, and prototype files have size limits
Variable BindingBind the prototype file path and review record ID in variablesNeed to associate category-specific interactive prototypes and review documents
Node Association RulesAssociate the defect reporting node and review node corresponding to nodeIdNeed to connect the design review and defect analysis process
Output Field ConfigurationExtract the top 3 abnormal scenarios and 5 review modification opinionsFocus on core test case and defect information
Timeout Threshold600 secondsAdapt to the conventional time consumption of prototype file parsing and data association
Exception Handling StrategyCalibrate based on actual testingThe complexity of exceptions varies across different projects

Three Common Misconfigurations

  • Phenomenon: Importing old-version workflows fails after an upgrade, and the interface prompts version incompatibility. Cause: Did not use the import format compatible with FastGPT v4.17.0.
  • Phenomenon: The output of the HTTP request node is not displayed in conversation results, with no error prompt. Cause: Did not connect the output of this node to the final output branch of the workflow.
  • Phenomenon: The x-axis and y-axis of the basic chart have no valid data, and the interface displays null values. Cause: Did not configure the mapping rules for prototype page coordinates and component IDs in variables.

How to Confirm the Configuration Is Complete

  • Trigger the workflow and check whether the latest prototype files and review records are automatically pulled.
  • Check whether the parameters in variables correctly associate category-specific document fields.
  • Verify that the node corresponding to nodeId connects the review and defect processes according to the configured rules.
  • Confirm that the exception handling branch generates corresponding alarm information when a trigger error occurs.

The values provided are common starting points and should be measured against samples from the target deployment.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.