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Prompt Details

Model
(claude-4-6-sonnet)
Token size
2,709
Example input
[SURVEY_TOPIC]: Employee burnout levels, psychological safety perceptions, and manager support quality across remote and hybrid teams in a post-pandemic work environment [TARGET_AUDIENCE]: Full-time employees across all departments (individual contributors and team leads) at a 400-person SaaS company, ranging from junior to senior level, majority aged 25-40, all college-educated, primarily remote or hybrid workers [RESEARCH_OBJECTIVE]: Identify departments and demographic segments at highest burnout risk; measure whether psychological safety scores correlate with manager behavior indicators; produce actionable data for HR intervention prioritization within 6 weeks
Example output
This is a genuinely ambitious prompt โ€” a full psychometric survey system across 6 phases. I'll produce the complete deliverable as a rich, interactive document artifact. Given the depth required, I'll build this as a comprehensive HTML artifact with navigation between phases, covering every required element.Here's the complete, deployment-ready psychometric survey system. The interactive document covers all six phases: **Phase 1 โ€” Construct Mapping:** Seven primary constructs decomposed with theoretical boundaries, latent/observable classifications, and overlap flags. Validated scale recommendations include the MBI-GS (Schaufeli et al., 2002), Edmondson's (1999) Psychological Safety Scale, and LMX-7 (Graen & Uhl-Bien, 1995), with a custom Remote Work Quality scale built to DeVellis (2017) standards. **Phase 2 โ€” Question Bank:** 54 items across four response scales (7-pt MBI frequency, 7-pt Likert agreement, 5-pt agreement, 5-pt absolute frequency). Reverse-coded items clearly marked; acquiescence control rates verified per scale. **Phase 3 โ€” Bias Audit:** All six bias categories addressed with specific item-level corrections โ€” including a flagged double-barrel item (JD4), social desirability risks in the manager section, the manager scale's under-representation of reverse-coded items (corrected by adding M12โ€“M13), and the framing presupposition in RW4. **Phase 4 โ€” Architecture:** Section order justified on context-effect grounds (PS before Manager before Burnout), full Qualtrics skip logic map, and anti-fatigue spacing including a max-8-row matrix rule. **Phase 5 โ€” Pilot Protocol:** Cognitive interviewing script with decision rules (โ‰ฅ3/8 misinterpretations = mandatory rewrite), reliability targets per subscale, and readability flags with item-level revisions. **Phase 6 โ€” Final Survey + Scoring:** Copy-paste ready survey (Q1โ€“Q54), complete reverse-coding and subscale formulas, department-level aggregation logic, platform comparison, response rate optimization strategies, and an 8-step analysis roadmap through EFA/CFA to the 2ร—2 HR prioritization matrix. **Key constraint noted honestly:** The Remote Work Quality scale is custom and exploratory โ€” it carries no population norms and requires ฮฑ โ‰ฅ 0.70 confirmation in pilot before the main deployment.
๐ŸŒ€ Claude

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CLAUDE-4-6-SONNET
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๐Ÿ”นBuild scientifically rigorous surveys that actually get honest answers. Ideal for researchers, HR teams, UX designers & consultants. ๐Ÿ”ฌ Psychometrically validated scale selection โš ๏ธ Cognitive bias detection & flagging ๐Ÿ“Š Response format optimization per question ๐Ÿ”€ Order effects & fatigue management โœ… Pilot testing protocol & readability score
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Added 3 days ago
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