What the data for this category looks like
Data for this category typically comes from tracking systems, data warehouses, CRM systems, and ticket systems. Update cycles are mostly daily or weekly. Daily associated documents include usage analysis reports, tracking plans, indicator caliber tables, and dashboard requirement forms. Common data fields include user ID, function module identifier, interaction duration, operation count, customer attribution identifier, and more. Units are mostly counts, seconds, and calendar days. Some fields require aggregate statistics combined with customer dimensions.
What constraints these characteristics impose on the forms and interactions link
Dispersed data sources require external business systems or subsequent workflow nodes to support multi-data source association configuration. Differences in update frequencies require external business systems or subsequent workflow nodes to support custom refresh cycles. Aggregation requirements for multi-dimensional fields mean external business systems or subsequent workflow nodes must provide flexible field mapping and unit conversion options. Unified indicator caliber requires caliber verification logic linked to the external business system in the interaction link, to avoid caliber deviations across documents. The need for explanations of customer grouping requires external business systems or subsequent workflow nodes to support adding comment fields for recording the basis of grouping rules.
How to set up configurations
The following configurations are adapted for FastGPT v4.17.0:
| Configuration Item | Recommended Practice | Rationale |
|---|---|---|
Form input node formInput | Test example: Select 3 fields from product usage data analysis as required inputs; actual fields are determined based on the task | This node collects user input; missing required items requires checking interaction status to prevent subsequent nodes from failing to receive complete input |
User selection node userSelect | Test example: Set 2 business options, check corresponding branches one by one | This node handles user selection; queries and filtering of product usage data analysis related records must be implemented by subsequent interfaces or external systems |
| Field passing after submission | Test example: Prepare 10 product usage data analysis input samples, covering complete filling, missing required items, and canceled 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: Data source refresh cycle | Must be implemented separately by external systems; configured by external systems or subsequent nodes as needed (1-24 hours) | Adapt to daily or weekly data update cycles, balance real-time performance and resource consumption; refresh logic is implemented by external systems or subsequent nodes |
| External implementation item: Field mapping rules | Must be implemented separately by external systems; configured by external business systems or subsequent nodes to automatically match identical-named fields, retain manual correction entry | Simplify the association process between tracking fields and analysis indicators, compatible with field differences across different tracking plans; this mapping logic is implemented by external business systems or subsequent nodes |
| External implementation item: Comment field configuration | Must be implemented separately by external systems; configure comment fields as needed | Support recording grouping rules and caliber descriptions; this field configuration must be implemented by external business systems or subsequent workflow nodes |
Three common configuration mistakes
- Phenomenon: After a front-end embedded interaction component is submitted, the backend does not receive interaction data. Verification action: Check whether the
formInputnode has been configured with logic to pass collected data to the specified backend interface. - Phenomenon: Workflow AI nodes cannot accurately identify incomplete procurement input information. Verification action: Check whether the multi-field linkage verification logic of the external business system has been associated with the input data of the
formInputnode. - Select the configured options one by one in the user selection node
userSelect, verify whether the workflow enters the corresponding branch; filtering of product usage data analysis records must additionally verify the input, permissions, and return values of the external interface.
How to confirm the configuration is complete
- Submit test form data, check whether the backend can receive complete interaction parameters.
- Trigger the workflow AI node, verify that the system prompt can correctly verify the completeness of input content.
- Select the configured options one by one in the user selection node
userSelect, verify whether the workflow enters the corresponding branch; filtering of product usage data analysis records must additionally verify the input, permissions, and return values of the external interface. - Adjust the data source refresh cycle configuration, verify whether the external data dashboard obtains updated data from the external system according to the set cycle.
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.