What the Data for This Category Looks Like
The data sources for this category are ticket systems, customer interview records, CRM systems, and product roadmaps. The update frequency is weekly or per version release cycle. Daily processed documents include requirement pool lists, requirement evaluation forms, customer feedback records, and version planning descriptions. The processing subjects are product operations, customer success, and product managers. Data fields include requirement source identifiers, customer associated IDs, priority tags, estimated development hours, version attribution nodes, and more. The number of entries in a single requirement pool list varies with the scale of served customers, and overall data volume accumulates gradually as business progresses.
What Constraints These Characteristics Impose on Forms and Interactions
Data from multiple sources requires forms to support bidirectional interaction for bulk import and single-item editing. This interaction is implemented by external business systems or subsequent workflow nodes. The weekly or per-version update rhythm requires forms to have version traceability and field locking interaction capabilities. This capability is implemented by external business systems or subsequent workflow nodes. The time-consuming process of merging duplicate requirements requires deduplication verification and association prompts. This verification and prompt are implemented by external business systems or subsequent workflow nodes. The risk of distorted requirement commitments requires forms to set required fields and data verification rules. This rule is implemented by external business systems or subsequent workflow nodes. The feature of a large number of entries in a single document requires forms to support pagination loading and quick retrieval interaction. This interaction is implemented by external business systems or subsequent workflow nodes. Cross-system data sources also require forms to support external data import in different formats, reducing duplicate data entry operations.
How to Configure the Settings
The following configurations are based on FastGPT v4.17.0, adapted for the forms and interactions scenario of customer requirement pool management. Specific parameters and their bases are as follows:
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
Form Input Node formInput | Test example: Select 3 fields from customer requirement pool management as required inputs; actual fields are determined based on tasks | This node collects user input; missing required items require checking interaction status to avoid subsequent nodes failing to obtain complete inputs |
User Selection Node userSelect | Test example: Set 2 business options, check the corresponding branches one by one | This node handles user selection; queries and filtering of records related to customer requirement pool management must be implemented by subsequent interfaces or external systems |
| Field Passing After Submission | Test example: Prepare 10 input samples for customer requirement pool management, covering complete filling, missing required items, and cancel operations | Compare input and node output to verify whether subsequent nodes receive corresponding fields; result thresholds are determined based on actual tasks |
| External Implementation Item: Upload File Size Threshold | Must be implemented separately by external systems; configured by external business systems or subsequent nodes | Adapt to the upload requirements of 100,000-character Word documents and 15,000+ row Excel data |
| External Implementation Item: Requirement Source Option Range | Must be implemented separately by external systems; ticket system, customer interview, CRM, product roadmap | Match the data sources of this category to ensure options align with actual data |
| External Implementation Item: Form Submission Timeout | Must be implemented separately by external systems; configured by external business systems or subsequent nodes | Adapt to the processing duration of bulk import of large requirement pool data |
Three Common Mistakes
- Uploading a 100,000-character Word document or 15,000+ row Excel data returns a 413 status code. The cause is that the upload file size threshold is not configured by external business systems or subsequent nodes, resulting in exceeding the allowed upload limit.
- The requirement source field is empty after form submission. The cause is that the required verification for the
userSelectnode is not configured by external business systems or subsequent nodes, and the value logic of the corresponding data source is not associated. - After submitting a customer requirement pool management form, subsequent nodes do not receive complete fields. Check required items, actual submission content, and node output mapping one by one, then check subsequent interface returns; existing symptoms cannot independently determine the root cause.
How to Confirm Proper Configuration
- Upload a 100,000-character Word document and 15,000+ row Excel data, check whether upload and parsing can be completed via external business systems or subsequent nodes.
- Trigger the interaction of the
userSelectnode, verify whether the options correctly load the preset requirement source types. - Configure the form default value logic of external business systems or subsequent nodes, submit a test requirement, and check whether the corresponding fields are automatically filled with preset content.
- Input a base64-format test image, check whether it can be normally displayed and parsed on the interaction interface via external business systems or subsequent nodes.
The values provided are common starting points and should be evaluated 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.