Research Proposal & Practical Considerations: Structure, Ethics, and Real-World Applications

Core Concepts

1. Definition and Purpose of a Research Proposal

A research proposal is a blueprint for a marketing research project. It outlines:

• The problem being studied (e.g., "Why do Nepali consumers prefer Khalti over eSewa for online payments?").
• The objectives (e.g., "To identify the top 3 factors influencing payment app choice").
• The methodology (e.g., "Survey 500 users in Kathmandu Valley via stratified sampling").
• The budget and timeline.

Why it matters:

• Secures approval from funders (e.g., universities, companies like NTC or NEPSE).
• Guides the research process, preventing wasted time/money.
• Ensures ethical compliance (e.g., informed consent for Pathao driver surveys).

2. Components of a Research Proposal

A well-structured proposal includes 10 key sections (visualized below). Use this as a checklist for exams:

graph TD
    A["1. Title Page"] --> B["2. Executive Summary"]
    B --> C["3. Introduction"]
    C --> D["4. Research Problem & Objectives"]
    D --> E["5. Literature Review"]
    E --> F["6. Research Methodology"]
    F --> G["7. Sampling Plan"]
    G --> H["8. Data Collection Tools"]
    H --> I["9. Budget & Timeline"]
    I --> J["10. Ethical Considerations"]
    J --> K["11. References"]
    K --> L["12. Appendices"]
    K --> M["13. Abstract (if not in Executive Summary)"]

Real-World Example: Ncell’s Customer Satisfaction Survey Proposal

• Problem: Declining Net Promoter Score (NPS) in 2023.
• Objective: Identify reasons for churn among prepaid users.
• Methodology: Online survey (3,000 respondents) + focus groups in 5 districts.
• Budget: ₹500,000 (₹300K for survey tool, ₹200K for incentives).
• Ethics: Anonymity guaranteed; data stored securely per GDPR-like Nepali regulations.

3. Practical Considerations in Marketing Research

A. Time Constraints

• Challenge: Businesses (e.g., Daraz) need fast insights but high-quality data takes time.
• Solution:
  • Pilot studies (test questionnaires on 50 users before full rollout).
  • Phased data collection (e.g., collect quantitative data first, then qualitative).

B. Cost Management

C. Stakeholder Communication

• Who needs updates?
  • Clients (e.g., NTC wants monthly progress reports).
  • Research team (e.g., Pathao’s data analysts need raw survey files).
  • Ethics board (e.g., TU’s IRB requires protocol changes).
• Tools:
  • Dashboards (e.g., Tableau for real-time data visualization).
  • Weekly emails with milestones (e.g., "Survey coding completed 80%").

4. Ethical Considerations

Common Ethical Dilemmas in Nepal

5. Worked Example: Daraz’s A/B Test Proposal

Problem: Low conversion rate on mobile app (only 2% of visitors buy). Proposal Outline:

1. Objective: Test if a red "Buy Now" button increases conversions vs. green.
2. Methodology:
   • Randomized Controlled Trial (RCT): Split traffic 50/50.
   • Sample: 10,000 users over 2 weeks.
3. Budget: ₹150,000 (₹50K for dev, ₹100K for incentives).
4. Ethics: No personal data collected; A/B test is transparent.
5. Timeline:
   • Week 1: Develop variants.
   • Week 2–3: Run test.
   • Week 4: Analyze results (chi-square test for significance).

Expected Outcome:

• If red button wins, roll out globally (saving ₹5M/year in ad spend).

6. Common Mistakes to Avoid

mindmap
  root((❌ Avoid These))
    Vague Objectives
      "Example: 'Improve sales' → Better: 'Increase Ncell’s postpaid sign-ups by 15% in 3 months.'"
    Poor Sampling
      "Example: Surveying only Kathmandu residents for a national Daraz study."
    Ignoring Ethics
      "Example: Using student respondents without compensation (exploitative)."
    Overbudgeting
      "Example: Allocating ₹2M for a ₹500K survey."
    No Pilot Test
      "Example: Launching a 50-question survey without pre-testing."

In the Real World

1. eSewa’s Fraud Detection Research

   • Idea Used: Sampling Techniques (stratified sampling of 10,000 transactions to detect fraud patterns).
   • How: eSewa segments users by transaction size (small/medium/large) and flags anomalies (e.g., ₹50,000 sent to a new wallet).

2. NTC’s Customer Journey Mapping

   • Idea Used: Qualitative Research (focus groups with 200 users to map pain points like slow internet).
   • Outcome: Led to the "NTC Express" service (prioritized calls for business users).

3. Pathao’s Driver Satisfaction Survey

   • Idea Used: Questionnaire Design (Likert scale questions like "How often do you feel safe while driving?").
   • Result: Identified that night shifts had the lowest satisfaction → led to a ₹500 bonus for night drivers.

Exam Tip

1. For "Define" Questions:

   • A research proposal is a document that justifies, designs, and plans a research study (TU often expects this exact phrasing).
   • Quantitative research = "Systematic empirical investigation using numerical data" (e.g., Ncell’s NPS scores).

2. For "Analyze" Questions:

   • Use bullet points to compare components (e.g., "Pros/Cons of Online vs. Offline Surveys").
   • Always tie to Nepal: "In Kathmandu traffic studies, secondary data (NTC reports) is cheaper but outdated."

3. For Case-Based Questions:

   • Structure: Problem → Method → Ethics → Expected Outcome.
   • Example Answer Starter:

     "For Daraz’s A/B test proposal, the sampling method (RCT) ensures causality, while the budget of ₹150K is justified by the potential ₹5M annual savings. However, ethical risks arise if users are unaware of the test, violating transparency principles."

4. Visuals in Exams:

   • If asked to "explain the format of a marketing research report", sketch a table of contents (like the proposal components above) or a pyramid diagram showing:

     Executive Summary (Top)
     → Methods
     → Findings
     → Recommendations (Bottom)
     

Key Formulas and Checklists