What the data for this category looks like
This category's data primarily comes from crowdsourcing platform backends, annotation quality inspection records, staff training exam results, and financial settlement systems. Daily associated documents include staff access rules, annotation training materials, monthly performance sheets, and quarterly settlement statements. Data update cycles are divided into daily (for annotation quality and performance data) and monthly (for settlement statements and staff status updates). Common data fields include unique staff identifiers, access review status, training assessment scores, single-round annotation accuracy, monthly settlement amounts, and other related fields.
What constraints these characteristics impose on forms and interactions
Since data sources cover multiple dimensions including platform operations, quality inspections, training assessments, and financial settlements, external business systems must implement cross-data-source field linkage. This ensures synchronized updates of staff status, performance data, and settlement information. External business systems must be configured with different data refresh cycles to match the update frequencies of various data types. As core processes involve staff screening, quality ranking, and settlement verification, external business systems must support batch operations and multi-condition filtering components to reduce manual verification time. Errors can lead to quality fluctuations or settlement mistakes, so external business systems must add field validity check rules to prevent invalid data submissions.
How to set configurations
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Form Input Node formInput | Test example: Select 3 fields from crowdsourced annotator management fields as required inputs; actual fields are determined by the task | This node collects user input. Missing required items requires checking interaction status to avoid subsequent nodes 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. Querying and filtering crowdsourced annotator management records must be implemented via subsequent interfaces or external systems |
| Post-Submission Field Passing | Test example: Prepare 10 crowdsourced annotator management input samples, covering complete submissions, missing required items, and canceled operations | Compare input and node output to verify whether subsequent nodes receive corresponding fields. Result thresholds are determined by actual tasks |
| External Implementation Item: Batch Operation Buttons | Must be implemented separately by external systems; external business systems implement batch settlement verification and quality ranking update logic | Reduce manual verification time |
| External Implementation Item: Automatic Refresh Interval | Must be implemented separately by external systems; test example: Can be configured to match data update cycles, such as daily or monthly | Match the update frequencies of different data types |
| External Implementation Item: Field Validation Rules | Must be implemented separately by external systems; external business systems add non-negative value validation for settlement amount fields | Avoid risks of incorrect or missed payments |
Three Common Misconfigurations
- After a crowdsourced annotator management form is submitted, subsequent nodes do not receive complete fields. Compare required items, actual submission content, and node output mappings one by one, then check subsequent interface returns. Existing symptoms alone cannot determine the root cause.
- Phenomenon: When batch triggering staff quality ranking updates, only some staff data is updated. Verification steps: Check whether the external business system's batch operation configuration covers all target staff, and confirm whether subsequent nodes correctly receive all data.
- Phenomenon: A timeout error occurs when submitting a monthly settlement statement form. Verification steps: Check the external business system's interface response time and resource configuration for batch data processing, and confirm whether the request timed out.
How to Confirm Proper Configuration
- Test form input node
formInputinput submission, check whether input content is properly collected and passed to subsequent nodes. - Select each configured option one by one in the user selection node
userSelect, verify whether the workflow enters the corresponding branch. For crowdsourced annotator management record filtering, additionally verify the external interface's input, permissions, and return values. - Trigger batch operations via the external business system, check whether all associated data is synchronized updated without omissions.
- Adjust the refresh cycle configuration of the external business system, verify that data loads correctly according to the corresponding cycle.
The values provided here are common starting points and should be evaluated 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.