Neftaly Monthly Research Report Template (SCRR-6 Format)
Purpose: To maintain consistency and quality in Neftaly’s monthly consumer behavior and communication preference reports
Issued by: Neftaly Consumer Behaviour Analysis Research Office
Standardized under: Neftaly Research Royalty
📄 Document Structure Overview
| Section | Purpose |
|---|---|
| 1. Cover Page | Branding, report title, cycle/month, and confidentiality label |
| 2. Executive Summary | Top-level findings, actionable insights, and trends |
| 3. Research Overview | Methodologies, sample size, demographics, and collection tools |
| 4. Key Findings | Core insights grouped by theme (e.g. channels, tone, device) |
| 5. Data Visualizations | Charts, graphs, maps, sentiment wheels |
| 6. Demographic Profiles | Segment-specific preferences and behaviors |
| 7. Trend Analysis | Month-to-month comparisons, seasonal shifts, emerging signals |
| 8. Regional Insights | Province/city-based breakdowns of behavior |
| 9. Predictive Insights | AI-driven forecasts and sentiment projections |
| 10. Recommendations | Strategic guidance for stakeholders |
| 11. Appendix | Prompt list, data tables, methodology details, glossary |
🧾 1. Cover Page
- Report Title: Neftaly Communication Research Report (SCRR-6)
- Reporting Cycle: e.g., June 2025
- Prepared By: Neftaly Consumer Behaviour Analysis Research Office
- Confidentiality Tag: Internal Use / Client Confidential / Public Summary
- Version: v1.0 / Final / Draft
📝 2. Executive Summary (1–2 pages)
- Overview of consumer interaction preferences this month
- Key shifts from previous cycle
- Top three actionable insights
- One “Emerging Signal” for strategic attention
🧪 3. Research Overview
| Metric | Description |
|---|---|
| Sample Size | Total validated responses (e.g., 12,453) |
| Data Collection Channels | WhatsApp, Web, SMS, USSD, Mobile App |
| Methodologies | Mixed-methods, NLP for open text, sentiment scoring |
| Demographics Captured | Age, gender, language, location, income (where possible) |
| GPT Prompt Summary | Count, structure, language use |
🔍 4. Key Findings by Theme
Organized into subsections:
- Channel Preferences
- Tone & Communication Style
- Response Timing
- Preferred Devices
- Message Format (text vs. voice vs. emoji)
Each section includes:
- 📊 Key Stat (e.g., “63% prefer WhatsApp over Email”)
- 💬 Sample Quote
- 📈 Trend direction (+/− compared to last month)
📊 5. Data Visualizations
- Bar charts: channel ranking
- Pie charts: tone preference breakdown
- Heatmaps: response time windows by region
- Word clouds: most common open-text phrases
- Sentiment graphs: emotion by platform
👥 6. Demographic Communication Profiles
Create 3–6 consumer profiles (personas), including:
| Persona Name | Description |
|---|---|
| “The Voice-First Youth” | Ages 18–25, prefers WhatsApp voice notes, empathetic tone |
| “Formal Flex Professional” | Ages 30–45, email preferred, clear, respectful tone |
| “Emoji-Driven Parent” | Mid-age, likes informal messages with emojis, after 7 p.m. |
📈 7. Trend Analysis
| Theme | Direction | Comment |
|---|---|---|
| WhatsApp Usage | ↑ 8% | More use in rural areas due to better accessibility |
| Email Satisfaction | ↓ 12% | Users report delay in replies and lack of personalization |
| Voice Notes | Stable | Continued preference among youth segments |
🗺️ 8. Regional Insights
| Region | Top Channel | Tone Preference | Notable Insight |
|---|---|---|---|
| Gauteng | Direct/Fast | Early morning engagement highest | |
| Limpopo | Voice Call | Empathetic | Preference for personal tone remains strong |

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