What the Data for This Category Looks Like
Data for this category primarily comes from requirement research notes, PRD documents, user story lists, and requirement change forms. Data sources include customer interview records, ticketing systems, public competitor pages, and event tracking dashboards. The data update frequency is weekly or per version release cycle. Document structures typically include fields such as requirement identifier, business objective, acceptance criteria, boundary conditions, and associated business modules. Some documents include user feedback snippets and business scenario descriptions.
What Constraints These Characteristics Impose on the Workflow Orchestration Step
The data sources for this category are scattered and have inconsistent formats, requiring workflow orchestration to support automatic parsing and format unification for multiple document types. The data update frequency is high, so the workflow must adapt to scenarios triggered by frequent changes to avoid synchronization delays. Documents contain multi-dimensional business fields, so field mapping rules must be clearly defined during orchestration to ensure accurate flow of requirement information. Additionally, boundary confirmation and change synchronization during the requirement analysis phase take a long time, so the workflow must include segmented verification nodes to intercept processes with missing or conflicting information early, reducing the risk of rework in later development.
Configuration Settings
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow trigger condition | Trigger upon document upload completion, supports scheduled supplementary synchronization | The data update frequency for this category is weekly or per version, which meets real-time synchronization needs while avoiding excessive trigger events |
variables binding rules | Bind three core fields: requirement ID, business objective, and acceptance criteria | The core fields of documents include requirement identifiers, business objectives, and acceptance criteria; binding these enables precise verification of workflow nodes |
| Node timeout setting | Set single node timeout to 600 seconds | Requirement analysis documents are typically lengthy, so sufficient processing time must be reserved for parsing and verification steps |
| File storage path | Bind a dedicated business directory, store files in folders grouped by upload time | Documents in this category must be archived by version; grouped storage facilitates subsequent version traceability and retrieval |
| Exception retry strategy | Retry 2 times after failure, with a 30-second interval | Prevents temporary network fluctuations from interrupting the workflow, while controlling resource consumption from retries |
nodeId verification rules | Perform workflow verification based on the node ID associated with the requirement change form | Ensures change requests only flow under the corresponding requirement node, avoiding cross-requirement process confusion |
Three Common Mistakes
- After uploading requirement documents, users cannot quickly locate the storage location, and there is no direct interface entry to view the path. The cause is that file metadata synchronization configuration is not enabled, resulting in upload records not being bound to the corresponding workflow node.
- When
variablesis selected, the front-end interface experiences drag-and-drop lag; normal operation resumes after deleting the variable configuration. The cause is that the number of bound variable fields is too large, and no pagination loading optimization is implemented, leading to excessive rendering load. - When configuring advanced orchestration nodes, the image upload node is incorrectly connected directly to the parsing link, resulting in unstructured image data being included in the output results. The cause is that the input and output types of the orchestration node are not clearly defined, and no format verification step is added.
How to Verify Proper Configuration
- Upload a test requirement research note, trigger the workflow, and check whether the core fields are automatically bound to
variables. - Simulate a requirement change submission, and check whether the workflow jumps to the corresponding approval node according to the configured
nodeIdverification rules. - Trigger an abnormal workflow, confirm whether the retry strategy is executed as configured, and whether an alert is triggered after timeout.
- View the file storage directory, confirm that the uploaded PRD documents have been archived to the specified business folder grouped by upload time.
The values provided 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.