pm_workflow_experiment_cycle
Run a complete experiment workflow from hypothesis to lessons learned. Produces a step-by-step plan covering design, instrumentation, and results.
Instructions
Experiment Cycle workflow - Complete experimentation workflow from hypothesis through learning capture.
Effort Level: standard
Steps:
pm_hypothesis
pm_experiment_design
pm_instrumentation_spec
pm_experiment_results
pm_lessons_log
Use this tool to get a complete workflow plan. The AI client orchestrates execution by calling each step's tool in sequence.
Args:
topic (string, required): The subject or feature for this workflow
context (string, optional): Additional context for the workflow
Returns: Markdown workflow plan with steps, guidance, and execution instructions.
Tool call template
Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {
"topic": "<topic>"
},
"name": "pm_workflow_experiment_cycle"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| topic | Yes | The subject or feature for this workflow | |
| context | No | Additional context, constraints, or requirements |