What the data for this category looks like
Usually, data for customer requirement pool management comes from ticket systems, customer interview records, CRM systems, and product roadmaps. The update frequency is weekly or before each version release. Daily associated documents include requirement pool lists, requirement evaluation forms, customer feedback records, and version planning descriptions. Common fields include requirement source identifiers, customer associated information, priority tags, evaluation costs, and scheduling status. There is no fixed unified standardized field format, and adaptation is required for structural differences across multi-source data.
What constraints these characteristics impose on workflow orchestration
Dispersed multi-source data requires workflows to include multiple nodes that pull requirement data from different channels, avoiding errors from manual imports. Non-standardized document fields require workflows to support flexible field mapping rules to adapt to structural differences across different documents. The weekly or per-version update frequency requires workflow trigger cycles to match this rhythm, preventing excessive execution or missed updates. Test case and defect analysis must link to requirement pool entries, so workflows must establish association verification logic between requirements, test nodes, and defect nodes to prevent disconnection between requirements and test results.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
| Global variable configuration | Add a "Knowledge Base Selection" enum variable to variables, bind the list of knowledge bases created within the platform | Match the scenario of associating knowledge bases with test cases in customer requirement pool management, unify input formats |
| Workflow trigger timing | Weekly update / 24 hours before version release | Match the weekly or per-version update frequency of requirement pool data, avoid repeated execution |
| Timeout threshold | 600 seconds | Adapt to the time consumption requirements of pulling multi-source data (tickets, CRM, customer interviews), prevent abnormal workflow interruptions |
| Deduplication matching threshold | 80%–90% similarity | Used for duplicate requirement merging, balance merging accuracy and manual review costs |
| Input length interception | Set a 10000 characters threshold, trigger a front-end prompt when exceeded | Avoid input over-limit errors in AI conversation nodes, comply with input specifications for test case editing |
| Field mapping rules | Map requirement pool document fields to input parameters of workflow nodes | Match the document structures of requirement pool lists and customer feedback records, reduce manual entry |
Three Common Mistakes
- After customizing the "Knowledge Base Selection" variable, the workflow prompts a field type mismatch during runtime. Cause: The
variablesconfiguration was not set to an enum type, and it was mistakenly set to a text type, causing parameter format errors. - After importing a preset workflow, the document upload node cannot trigger file upload operations. Cause: The data source permissions for requirement pool management were not associated, and the node was not bound to the corresponding data pull path.
- An error is returned directly after the input content of the AI conversation node exceeds the limit. Cause: No input length interception rule was configured, and no reasonable character threshold was set.
How to Confirm Correct Configuration
This configuration applies to FastGPT v4.17.0.
- Trigger a test workflow, check if the dropdown options for the "Knowledge Base Selection" variable in
variablesmatch the list of knowledge bases within the platform. - Submit two test requirement entries with highly similar content, confirm that the workflow automatically triggers deduplication matching and generates merging prompts.
- Input test text that exceeds the preset character threshold, confirm that the workflow triggers an interception prompt before the AI conversation node.
- View the workflow run logs, confirm that the multi-source data pull time does not exceed the
600 secondsthreshold.
The values given are common starting points and should be measured against the reader's own samples.
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.