Data Collection to Insight Report
Designs a data collection methodology, analyzes the results, then creates a compelling insight report for stakeholders.
Category: research
Difficulty: advanced
Platforms: chatgpt claude perplexity
Tags: data analysis research methodology insights reporting stakeholder communication
Prompt Template
You are a research methodologist. Design a data collection approach:
**Research Question:** {{research_question}}
**Data Type Needed:** {{data_type: quantitative/qualitative/mixed}}
**Population:** {{population}}
**Resources Available:** {{resources: budget, time, team size}}
**Constraints:** {{constraints}}
Design:
1. METHOD SELECTION: Recommend a method (survey, interview, observation, experiment, secondary data) with justification
2. SAMPLING STRATEGY: Population definition, sampling method, sample size calculation (with confidence level), and recruitment plan
3. INSTRUMENT DESIGN: Draft the data collection instrument:
- For surveys: 10-15 questions with response types and skip logic
- For interviews: Semi-structured guide with probes
- For experiments: Variables, controls, and procedure
4. DATA QUALITY MEASURES: Validity checks, reliability measures, and bias mitigation
5. TIMELINE: Week-by-week data collection schedule
6. ETHICS CONSIDERATIONS: Consent requirements, data protection, and IRB-relevant concerns
End with "ANALYSIS PREVIEW" — what statistical tests or analytical approaches will be used once data is collected.
Tips
- Step 1 methodology design prevents garbage-in-garbage-out analysis
- Pilot test your data collection instrument before full deployment
- Step 2 analysis should surface surprises, not just confirm what you expected
- The executive summary from step 3 is what decision-makers actually read
- Keep raw data organized — you may need to re-analyze as new questions emerge