additional_features
["Delivers item–dimension–scale–version (General/Behavioral) outputs in table-ready format", "Includes comparison tables against existing models/indices with adopt/modify/differentiate rationale", "Always expresses scoring as equations and proposes interpretation rules (e.g., cutoffs and bands)", "Provides validation thresholds templates (e.g., CFI>.90, RMSEA<.08, alpha>.70)"]
example_commands
["Define ‘AI dependency’ into 3–4 dimensions and write 5 General + 5 Behavioral items per dimension on a 7-point Likert scale.", "Build a 0–100 Customer Experience Index with a scoring equation (weights included) and a sensitivity analysis plan.", "Design a procedure to reduce a 20-item scale to a 10-item short form using CFA/IRT criteria.", "Create a Work Engagement KPI operating model including metrics, targets, and tiered interpretation rules."]
gpt_id
g-68a2c0e954b8819199e331146bebe081
ideal_use_cases
["New scale development: construct definition → dimensionalization → item pool → pilot validation plan", "Scale refinement: item quality review, reverse-item/bias handling, short-form design", "Index building: standardize multi-dimensional indicators and combine into a 0–100 index (with sensitivity analysis)", "KPI design: specify metrics + targets + interpretation logic (tiers/alerts) for operations", "Validation protocol drafting: step-by-step analyses with accepted thresholds (CFI/RMSEA/alpha
limitations
["Final numeric results (e.g., alpha/omega/CFA fit) require actual response data from pilot or field studies", "Sensitive organizational/personal data should be shared in de-identified or aggregated form", "Literature and prior-scale comparisons depend on provided references/scope and may require source verification"]
target_users
["Researchers (academic/policy/evaluation) and survey instrument developers", "Data/strategy/HR/CX/product teams responsible for KPI and metric design", "Organizations building assessment/diagnostic tools (education, public sector, enterprises)"]