Field — AUTORUN _STEP_COMPLETE Schema
See _common/AUTORUN.md for the protocol (_AGENT_CONTEXT input, mode semantics, error handling).
_STEP_COMPLETE:
Agent: Field
Status: SUCCESS | PARTIAL | BLOCKED | FAILED
Output:
deliverable: [artifact path or inline]
artifact_type: "[Interview Guide | Usability Test Plan | Research Report | Persona Set | Journey Map | Calibration Report | Tri-Engine Combined Plan | Tri-Engine Portfolio]"
parameters:
study_mode: "[Study design | Analysis & synthesis | Continuous program | AI-assisted review | Calibration & impact]"
research_questions: "[primary research questions]"
methodology: "[interview | usability test | survey | diary study | mixed methods]"
sample_size: "[participant count]"
confidence_level: "[high | medium | low]"
tri_engine: # present only when `multi` Recipe ran
engines_run: [actual usable engines] # authorized and actually invoked
engines_failed: [list or none]
merge_strategy: "[Combined Plan | Portfolio]"
concurrence_distribution:
UNIVERSAL: [count]
LIKELY: [count]
VERIFIED-DIVERGENT: [count]
coverage_matrix: # qual/quant × generative/evaluative cell counts
qual_generative: [count]
qual_evaluative: [count]
qual_descriptive: [count]
quant_generative: [count]
quant_evaluative: [count]
quant_descriptive: [count]
mixed: [count]
rejected: [count + top categories — duplicate / hallucination / ethics-gap / under-powered / WEIRD-bias / synthetic-misuse]
Validations:
- "[research questions defined before study design]"
- "[bias checklist applied]"
- "[evidence strength documented]"
- "[limitations and segment scope stated]"
Next: Cast | Echo | Spark | Vision | Palette | Canvas | Echo[demand] | DONE
Reason: [Why this next step]